<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>The primary audience for this course is as follows:<br />•	This course is intended primarily for network administrators, network engineers, network managers and systems engineers who would like to implement BGP.<br />The secondary audience for this course is as follows:<br />•	This course is intended for network designers and project managers. The course is also recommended to all individuals preparing for BGP exam.</p>Overview<p>After completing this course the student should be able to:<br />- Describe how to configure, monitor, and troubleshoot basic BGP to enable interdomain routing in a network scenario with multiple domains<br />- Describe how to use BGP policy controls to influence the BGP route selection process in a network scenario In which you must support connections to multiple ISPs<br />- Describe how to use BGP attributes to influence the route selection process in a network scenario where you must support multiple connections<br />- Describe how to successfully connect the customer network to the Internet in a network scenario in which multiple connections must be implemented<br />- Describe how to configure the service provider network to behave as a transit AS in a typical implementation with multiple BGP connections to other autonomous systems<br />- Enable route reflection as possible solution to BGP scaling issues in a typical service provider network with multiple BGP connections to other autonomous systems<br />- Describe the available BGP tools and features to optimize the scalability of the BGP routing protocol in a typical BGP network</p><p>This covers the theory of BGP, configuration of BGP on Cisco IOSÂ© routers, detailed troubleshooting information, and hands-on exercises that provide learners with the skills that they need to configure and troubleshoot BGP networks in customer environments.</p></div><div id="course-pills-2"><h4>BGP Overview </h4><ul><li>Introducing BGP</li><li>Understanding BGP Path Attributes</li><li>Establishing BGP Sessions</li><li>Processing BGP Routes</li><li>Configuring Basic BGP</li><li>Monitoring and Troubleshooting BGP </li><li>Lab 1-1: Initial Lab Setup </li><li>Lab 1-2: Configuring Basic BGP </li></ul><h4>BGP Transit Autonomous Systems </h4><ul><li>Working with a Transit AS</li><li>Interacting with IBGP and EBGP in a Transit AS</li><li>Forwarding Packets in a Transit AS</li><li>Configuring a Transit AS</li><li>Monitoring and Troubleshooting IBGP in a Transit AS </li><li>Lab 2-1: Configuring a Transit AS </li></ul><h4>Route Selection Using Policy Controls </h4><ul><li>Using Multihomed BGP Networks</li><li>Employing AS-Path Filters</li><li>Filtering with Prefix-Lists </li><li>Using Outbound Route Filtering</li><li>Applying Route-Maps as BGP Filters</li><li>Implementing Changes in BGP Policy </li><li>Lab 3-1: Using Multihomed BGP Networks </li><li>Lab 3-2: Employing AS-Path Filters </li><li>Lab 3-3: Filtering with Prefix-Lists </li><li>Lab 3-4: Implementing Changes in BGP Policy </li></ul><h4>Route Selection Using Attributes </h4><ul><li>Influencing BGP Route Selection with Weights</li><li>Setting BGP Local Preference</li><li>Using AS-Path Prepending</li><li>Understanding BGP Multi-Exit Discriminators</li><li>Addressing BGP Communities </li><li>Lab 4-1: Influencing BGP Route Selection with Weights </li><li>Lab 4-2: Setting BGP Local Preference </li><li>Lab 4-3: Understanding BGP Multi-Exit Discriminators </li><li>Lab 4-4: Addressing BGP Communities </li></ul><h4>Customer-to-Provider Connectivity with BGP </h4><ul><li>Understanding Customer-to-Provider Connectivity Requirements</li><li>Implementing Customer Connectivity Using Static Routing</li><li>Connecting a Multihomed Customer to a Single Service Provider</li><li>Connecting a Multihomed Customer to Multiple Service Providers </li></ul><h4>Scaling Service Provider Networks </h4><ul><li>Scaling IGP and BGP in Service Provider Networks</li><li>Introducing Route Reflectors</li><li>Designing Networks with Route Reflectors</li><li>Configuring and Monitoring Route Reflectors</li><li>Introducing Confederations</li><li>Configuring and Monitoring Confederations </li><li>Lab 6-1: Introducing Route Reflectors </li><li>Lab 6-2: Configuring and Monitoring Confederations </li></ul><h4>Optimizing BGP Scalability </h4><ul><li>Improving BGP Convergence</li><li>Limiting the Number of Prefixes Received from a BGP Neighbor</li><li>Implementing BGP Peer Groups</li><li>Using BGP Route Dampening </li><li>Lab 7-1: Limiting the Number of Prefixes Received from a BGP Neighbor </li><li>Lab 7-2: Implementing BGP Peer Groups </li><li>Lab 7-3: Using BGP Route Dampening </li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Configuring BGP on Cisco Routers v4.0 (BGP) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Cisco Configuring BGP on Cisco Routers v4.0 (BGP) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Cisco Certified Network Associate (CCNA)

Cisco Certified Network Professional certification (CCNP)

Bar Practice Course (BPC)

Cisco Certified Entry Networking Technician (CCENT)

Cisco Certified Internetwork Expert (CCIE)

IT Networking Fundamentals

Cisco Configuring BGP on Cisco Routers v4.0 (BGP)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform</p>Overview<p>This course teaches students the following skills:<br />Derive insights from data using the analysis and visualization tools on Google Cloud Platform<br />Interactively query datasets using Google BigQuery<br />Load, clean, and transform data at scale<br />Visualize data using Google Data Studio and other third-party platforms<br />Distinguish between exploratory and explanatory analytics and when to use each approach<br />Explore new datasets and uncover hidden insights quickly and effectively<br />Optimizing data models and queries for price and performance</p><p>Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.</p></div><div id="course-pills-2"><h4>Introduction to Data on the Google Cloud Platform</h4><ul><li>Highlight Analytics Challenges Faced by Data Analysts</li><li>Compare Big Data On-Premises vs on the Cloud</li><li>Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud</li><li>Navigate Google Cloud Platform Project Basics</li><li>Lab: Getting started with Google Cloud Platform</li></ul><h4>Big Data Tools Overview</h4><ul><li>Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools</li><li>Demo: Analyze 10 Billion Records with Google BigQuery</li><li>Explore 9 Fundamental Google BigQuery Features</li><li>Compare GCP Tools for Analysts, Data Scientists, and Data Engineers</li><li>Lab: Exploring Datasets with Google BigQuery</li></ul><h4>Exploring your Data with SQL</h4><ul><li>Compare Common Data Exploration Techniques</li><li>Learn How to Code High Quality Standard SQL</li><li>Explore Google BigQuery Public Datasets</li><li>Visualization Preview: Google Data Studio</li><li>Lab: Troubleshoot Common SQL Errors</li></ul><h4>Google BigQuery Pricing</h4><ul><li>Walkthrough of a BigQuery Job</li><li>Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs</li><li>Optimize Queries for Cost</li><li>Lab: Calculate Google BigQuery Pricing</li></ul><h4>Cleaning and Transforming your Data</h4><ul><li>Examine the 5 Principles of Dataset Integrity</li><li>Characterize Dataset Shape and Skew</li><li>Clean and Transform Data using SQL</li><li>Clean and Transform Data using a new UI: Introducing Cloud Dataprep</li><li>Lab: Explore and Shape Data with Cloud Dataprep</li></ul><h4>Storing and Exporting Data</h4><ul><li>Compare Permanent vs Temporary Tables</li><li>Save and Export Query Results</li><li>Performance Preview: Query Cache</li><li>Lab: Creating new Permanent Tables</li></ul><h4>Ingesting New Datasets into Google BigQuery</h4><ul><li>Query from External Data Sources</li><li>Avoid Data Ingesting Pitfalls</li><li>Ingest New Data into Permanent Tables</li><li>Discuss Streaming Inserts</li><li>Lab: Ingesting and Querying New Datasets</li></ul><h4>Data Visualization</h4><ul><li>Overview of Data Visualization Principles</li><li>Exploratory vs Explanatory Analysis Approaches</li><li>Demo: Google Data Studio UI</li><li>Connect Google Data Studio to Google BigQuery</li><li>Lab: Exploring a Dataset in Google Data Studio</li></ul><h4>Joining and Merging Datasets</h4><ul><li>Merge Historical Data Tables with UNION</li><li>Introduce Table Wildcards for Easy Merges</li><li>Review Data Schemas: Linking Data Across Multiple Tables</li><li>Walkthrough JOIN Examples and Pitfalls</li><li>Lab: Join and Union Data from Multiple Tables</li></ul><h4>Advanced Functions and Clauses</h4><ul><li>Review SQL Case Statements</li><li>Introduce Analytical Window Functions</li><li>Safeguard Data with One-Way Field Encryption</li><li>Discuss Effective Sub-query and CTE design</li><li>Compare SQL and Javascript UDFs</li><li>Lab: Deriving Insights with Advanced SQL Functions</li></ul><h4>Schema Design and Nested Data Structures</h4><ul><li>Compare Google BigQuery vs Traditional RDBMS Data Architecture</li><li>Normalization vs Denormalization: Performance Tradeoffs</li><li>Schema Review: The Good, The Bad, and The Ugly</li><li>Arrays and Nested Data in Google BigQuery</li><li>Lab: Querying Nested and Repeated Data</li></ul><h4>More Visualization with Google Data Studio</h4><ul><li>Create Case Statements and Calculated Fields</li><li>Avoid Performance Pitfalls with Cache considerations</li><li>Share Dashboards and Discuss Data Access considerations</li></ul><h4>Optimizing for Performance</h4><ul><li>Avoid Google BigQuery Performance Pitfalls</li><li>Prevent Hotspots in your Data</li><li>Diagnose Performance Issues with the Query Explanation map</li><li>Lab: Optimizing and Troubleshooting Query Performance</li></ul><h4>Advanced Insights</h4><ul><li>Introducing Cloud Datalab</li><li>Cloud Datalab Notebooks and Cells</li><li>Benefits of Cloud Datalab</li></ul><h4>Data Access</h4><ul><li>Compare IAM and BigQuery Dataset Roles</li><li>Avoid Access Pitfalls</li><li>Review Members, Roles, Organizations, Account Administration, and Service Accounts</li></ul></div>

Google Data Studio

Google Data Analytics

Business Analytics & Intelligence

Data Engineering

Big Data Analytics

Google Cloud

From Data to Insights with Google Cloud Platform

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is intended for experienced administrators with a background in either software development or system administration. Team leaders, lead developers, and other accidental Team Foundation Server administrators are also encouraged to take this course. This course will also help a student prepare for the relevant Microsoft certification exam.</p>Overview<p>At course completion, attendees will have had exposure to:<br />- TFS editions and components<br />- Supported topologies and environments<br />- Must-have TFS administration tools<br />- Hardware and software requirements<br />- Required service accounts and permissions<br />- Installing Team Foundation Server<br />- Configuring Team Foundation Server<br />- Managing relevant SQL Server components<br />- Managing relevant SharePoint components<br />- Installing and using Team Explorer<br />- Team project collections and team projects<br />- Using and customizing process templates<br />- TFS licensing and Client Access Licenses<br />- Connecting and using Microsoft Excel &amp; Project<br />- Installing and using Team Explorer Everywhere<br />- Integrating TFS and SharePoint<br />- Using the TFS web portal<br />- Git and TFVC version control systems<br />- Basic and advanced version control workflows<br />- Configuring and using code search<br />- Controlling access to version controlled items<br />- Command-line and third party tools<br />- Configuring automated builds<br />- Deploying and using Visual Studio agents<br />- Configuring agent pools and queues<br />- Creating and queuing automated builds<br />- Configuring Package Management<br />- Configuring Release Management<br />- Creating a release definition<br />- Creating and deploying a release<br />- Strategies for upgrading and migrating to TFS<br />- Integrating TFS with other systems and data<br />- High availability and scalability options<br />- Capacity planning and disaster recovery<br />- Backing up, restoring, and moving TFS data<br />- Managing the data warehouse<br />- Using PowerShell to manage TFS<br />- Customizing Team Foundation Server<br />- Extending Team Foundation Server</p><p>Provides students with the knowledge and skills to deploy, configure, and manage Microsoft Team Foundation Server 2019 and related software components.</p></div><div id="course-pills-2"><h4>Introduction to Team Foundation Server</h4><ul><li>Introduction to Team Foundation Server</li><li>Editions, components, and configurations</li><li>Visual Studio Team Services comparison</li><li>TFS' support of Application Lifecycle Management</li><li>TFS administrator responsibilities and tasks</li><li>?Must-have? tools of a TFS administrator</li></ul><h4>Planning and Deploying TFS</h4><ul><li>Planning the deployment</li><li>System requirements, software, and accounts</li><li>Installing and configuring TFS</li><li>Installing Team Explorer</li><li>Troubleshooting</li></ul><h4>Configuring TFS</h4><ul><li>Administrator roles and tools</li><li>Managing team project collections</li><li>Managing team projects</li><li>Managing process templates</li><li>Securing TFS, SharePoint, and SQL Server</li><li>Renaming and deleting a team project</li></ul><h4>Client Applications</h4><ul><li>TFS Client Access Licenses (CAL)</li><li>Team Explorer and the web portal</li><li>Microsoft Excel and Microsoft Project</li><li>SharePoint project portal</li><li>Team Explorer Everywhere</li><li>Command-line and 3rd party tools</li></ul><h4>Version Control</h4><ul><li>Overview of Git and TFVC version control systems</li><li>Integration with Visual Studio</li><li>Using TFVC and Git version control</li><li>Basic and advanced workflows</li><li>Controlling access to version control</li><li>Command-line tools and utilities</li><li>TFS Proxy, MSSCCI Provider, and TFS Sidekicks</li></ul><h4>Building and Releasing</h4><ul><li>Overview of the Visual Studio build system</li><li>Build agents, agent pools, agent queues</li><li>Creating and queuing a build</li><li>Monitoring, and managing a build</li><li>Securing the build process</li><li>Running tests as part of the build</li><li>Overview of Package Management</li><li>Overview of Release Management</li><li>Defining, creating, and deploying a release</li></ul><h4>Upgrading, Migrating, and Integrating</h4><ul><li>Upgrading Team Foundation Server</li><li>In-place vs. migration upgrade</li><li>Performing post-upgrade tasks</li><li>Migrating work items</li><li>Migrating items under version controlled</li><li>Integrating with Team Foundation Server</li><li>Custom and 3rd party solutions</li></ul><h4>Advanced Administration</h4><ul><li>Monitoring the health of Team Foundation Server</li><li>Web-based diagnostic tools</li><li>Options for scalability and high availability</li><li>Disaster recovery, backup, and restore</li><li>Moving Team Foundation Server</li><li>Managing the data warehouse</li><li>Using PowerShell to manage TFS</li></ul><h4>Customizing and Extending</h4><ul><li>Customizing vs. extending</li><li>Customizing a process template</li><li>Customizing a work item type</li><li>Creating default work items</li><li>Creating and using a global list</li><li>Using Witadmin.exe</li><li>Using work item templates</li><li>Creating a custom report</li><li>Using the REST API to extend Team Foundation Server</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Administering Team Foundation Server 2017 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Administering Team Foundation Server 2017 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Microsoft Certified Technology Specialist (MCTS)

Microsoft Certified Trainer (MCT)

TOGAF 9 Foundation

SSSTS

Teaching & Training

Administering Team Foundation Server 2017

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>Overview<p>The goal of this course is to enable technical students new to Cassandra to begin working with Cassandra in an optimal manner.  Throughout the course students will learn to:<br />Understand the Big Data needs that C* addresses<br />Be familiar with the operation and structure of C*<br />Be able to install and set up a C* database<br />Use the C* tools, including cqlsh, nodetool, and ccm (Cassandra Cluster Manager)<br />Be familiar with the C* architecture, and how a C* cluster is structured<br />Understand how data is distributed and replicated in a C* cluster<br />Understand core C* data modeling concepts, and use them to create well-structured data models<br />Be familiar with the C* eventual consistency model and use it intelligently<br />Be familiar with consistency mechanisms such as read repair and hinted handoff<br />Understand and use CQL to create tables and query for data<br />Know and use the CQL data types (numerical, textual, uuid, etc.)<br />Be familiar with the various kinds of primary keys available (simple, compound, and composite primary keys)<br />Be familiar with the C* write and read paths<br />Understand C* deletion and compaction</p><p>The Cassandra (C*) database is a massively scalable NoSQL database that provides high availability and fault tolerance, as well as linear scalability when adding new nodes to a cluster. It has many powerful capabilities, such as tunable and eventual consistency, that allow it to meet the needs of modern applications, but also introduce a new paradigm for data modeling that many organizations do not have the expertise to use in the best way.Introduction to Cassandra is a hands-on course designed to teach attendees the basics of how to create good data models with Cassandra.  This technical course has a focus on the practical aspects of working with C*, and introduces essential concepts needed to understand Cassandra, including enough coverage of internal architecture to make good decisions. It is hands-on, with labs that provide experience in core functionality. Students will also explore CQL (Cassandra Query Language), as well as some of the ?anti-patterns? that lead to non-optimal C* data models and be ready to work on production systems involving Cassandra.</p></div><div id="course-pills-2"><h4>Session 1: Cassandra Overview</h4><ul><li>Why We Need Cassandra - Big Data Challenges vs RDBMS</li><li>High level Cassandra Overview</li><li>Cassandra Features</li><li>Optional: Basic Cassandra Installation and Configuration</li></ul><h4>Session 2: Cassandra Architecture and CQL Overview</h4><ul><li>Cassandra Architecture Overview</li><li>Cassandra Clusters and Rings</li><li>Nodes and Virtual Nodes</li><li>Data Replication in Cassandra</li><li>Introduction to CQL</li><li>Defining Tables with a Single Primary Key</li><li>Using cqlsh for Interactive Querying</li><li>Selecting and Inserting/Upserting Data with CQL</li><li>Data Replication and Distribution</li><li>Basic Data Types (including uuid, timeuuid)</li></ul><h4>Session 3: Data Modeling and CQL Core Concepts</h4><ul><li>Defining a Compound Primary Key</li><li>CQL for Compound Primary Keys</li><li>Partition Keys and Data Distribution</li><li>Clustering Columns</li><li>Overview of Internal Data Organization</li><li>Overview of Other Querying Capabilities</li><li>ORDER BY, CLUSTERING ORDER BY, UPDATE , DELETE,  ALLOW FILTERING</li><li>Batch Queries</li><li>Data Modeling Guidelines</li><li>Denormalization</li><li>Data Modeling Workflow</li><li>Data Modeling Principles</li><li>Primary Key Considerations</li><li>Composite Partition Keys</li><li>Defining with CQL</li><li>Data Distribution with Composite Partition Key</li><li>Overview of Internal Data Organization</li></ul><h4>Session 4: Additional CQL Capabilities</h4><ul><li>Indexing</li><li>Primary/Partition Keys and Pagination with token()</li><li>Secondary Indexes and Usage Guidelines</li><li>Cassandra collections</li><li>Collection Structure and Uses</li><li>Defining and Querying Collections (set, list, and map)</li><li>Materialized View</li><li>Overview</li><li>Usage Guidelines</li></ul><h4>Session 5: Data Consistency In Cassandra</h4><ul><li>Overview of Consistency in Cassandra</li><li>CAP Theorem</li><li>Eventual (Tunable) Consistency in C* - ONE, QUORUM, ALL</li><li>Choosing CL ONE</li><li>Choosing CL QUORUM</li><li>Achieving Immediate Consistency</li><li>Overview of Other Consistency Levels</li><li>Supportive Consistency Mechanisms</li><li>Writing / Hinted Handoff</li><li>Read Repair</li><li>Nodetool repair</li></ul><h4>Session 6: Internal Mechanisms</h4><ul><li>Ring Details</li><li>Partitioners</li><li>Gossip Protocol</li><li>Snitches</li><li>Write Path</li><li>Overview / Commit Log</li><li>Memtables and SSTables</li><li>Write Failure</li><li>Unavailable Nodes and Node Failure</li><li>Requirements for Write Operations</li><li>Read Path Overview</li><li>Read Mechanism</li><li>Replication and Caching</li><li>Deletion/Compaction Overview</li><li>Delete Mechanism</li><li>Tombstones and Compaction</li></ul><h4>Session 7: Working with IntelliJ</h4><ul><li>Configuring JDBC Data Source for Cassandra</li><li>Reading Schema Information</li><li>Querying and Editing Tables.</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Introduction to Cassandra  (TTDS6776) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Introduction to Cassandra  (TTDS6776) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Introduction to Cassandra  (TTDS6776)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>System administrators<br />System engineers</p>Overview<p>By the end of the course, you should be able to meet the following objectives:<br />Install and configure ESXi hosts<br />Deploy and configure vCenter<br />Use the vSphere Client to create the vCenter inventory and assign roles to vCenter users<br />Configure vCenter High Availability<br />Create and configure virtual networks using vSphere standard switches and distributed switches<br />Create and configure datastores using storage technologies supported by vSphere<br />Use the vSphere Client to create virtual machines, templates, clones, and snapshots<br />Configure and manage a VMware Tools Repository<br />Create content libraries for managing templates and deploying virtual machines<br />Manage virtual machine resource use<br />Migrate virtual machines with vSphere vMotion and vSphere Storage vMotion<br />Create and configure a vSphere cluster that is enabled with vSphere High Availability and vSphere Distributed Resource Scheduler<br />Manage the life cycle of vSphere to keep vCenter, ESXi hosts, and virtual machines up to date<br />Configure and manage vSphere networking and storage for a large and sophisticated enterprise<br />Use host profiles to manage VMware ESXi host compliance<br />Monitor the vCenter, ESXi, and VMs performance in the vSphere client</p><p>This five-day, extended hour course takes you from introductory to advanced VMware vSphereÂ© 8 management skills. Building on the installation and configuration content from our best-selling course, you will also develop advanced skills needed to manage and maintain a highly available and scalable virtual infrastructure. Through a mix of lecture and hands-on labs, you will install, configure, and manage vSphere 7. You will explore the features that build a foundation for a truly scalable infrastructure and discuss when and where these features have the greatest effect. This course prepares you to administer a vSphere infrastructure for an organization of any size using vSphere 8, which includes VMware ESXi? 8 and VMware vCenter ServerÂ© 8.</p></div><div id="course-pills-2"><h4>Course Introduction</h4><ul><li>Introductions and course logistics</li><li>Course objectives</li></ul><h4>vSphere and Virtualization Overview</h4><ul><li>Explain basic virtualization concepts</li><li>Describe how vSphere fits in the software-defined data center and the cloud infrastructure</li><li>Recognize the user interfaces for accessing vSphere</li><li>Explain how vSphere interacts with CPUs, memory, networks, storage, and GPUs</li><li>Install an ESXi host</li></ul><h4>vCenter Management</h4><ul><li>Recognize ESXi hosts communication with vCenter</li><li>Deploy vCenter Server Appliance</li><li>Configure vCenter settings</li><li>Use the vSphere Client to add and manage license keys</li><li>Create and organize vCenter inventory objects</li><li>Recognize the rules for applying vCenter permissions</li><li>View vSphere tasks and events</li><li>Create a vCenter backup schedule</li><li>Recognize the importance of vCenter High Availability</li><li>Explain how vCenter High Availability works</li></ul><h4>Deploying Virtual Machines</h4><ul><li>Create and provision VMs</li><li>Explain the importance of VMware Tools</li><li>Identify the files that make up a VM</li><li>Recognize the components of a VM</li><li>Navigate the vSphere Client and examine VM settings and options</li><li>Modify VMs by dynamically increasing resources</li><li>Create VM templates and deploy VMs from them</li><li>Clone VMs</li><li>Create customization specifications for guest operating systems</li><li>Create local, published, and subscribed content libraries</li><li>Deploy VMs from content libraries</li><li>Manage multiple versions of VM templates in content libraries</li></ul><h4>Configure and Manage vSphere Networking</h4><ul><li>Configure and view standard switch configurations</li><li>Configure and view distributed switch configurations</li><li>Recognize the difference between standard switches and distributed switches</li><li>Explain how to set networking policies on standard and distributed switches</li></ul><h4>Configure and Manage vSphere Storage</h4><ul><li>Recognize vSphere storage technologies</li><li>Identify types of vSphere datastores</li><li>Describe Fibre Channel components and addressing</li><li>Describe iSCSI components and addressing</li><li>Configure iSCSI storage on ESXi</li><li>Create and manage VMFS datastores</li><li>Configure and manage NFS datastores</li><li>Discuss vSphere support for NVMe and iSER technologies</li></ul><h4>Managing Virtual Machines</h4><ul><li>Recognize the types of VM migrations that you can perform within a vCenter instance and across vCenter instances</li><li>Migrate VMs using vSphere vMotion</li><li>Describe the role of Enhanced vMotion Compatibility in migrations</li><li>Migrate VMs using vSphere Storage vMotion</li><li>Take a snapshot of a VM</li><li>Manage, consolidate, and delete snapshots</li><li>Describe CPU and memory concepts in relation to a virtualized environment</li><li>Describe how VMs compete for resources</li><li>Define CPU and memory shares, reservations, and limits</li><li>Recognize the role of a VMware Tools Repository</li><li>Configure a VMware Tools Repository</li><li>Recognize the backup and restore solution for VMs</li></ul><h4>vSphere Monitoring</h4><ul><li>Monitor the key factors that can affect a virtual machine's performance</li><li>Describe the factors that influence vCenter performance</li><li>Use vCenter tools to monitor resource use</li><li>Create custom alarms in vCenter</li><li>Describe the benefits and capabilities of VMware Skyline</li><li>Recognize uses for Skyline Advisor Pro</li></ul><h4>Deploying and Configuring vSphere Cluster</h4><ul><li>Use Cluster Quickstart to enable vSphere cluster services and configure the cluster</li><li>View information about a vSphere cluster</li><li>Explain how vSphere DRS determines VM placement on hosts in the cluster</li><li>Recognize use cases for vSphere DRS settings</li><li>Monitor a vSphere DRS cluster</li><li>Describe how vSphere HA responds to different types of failures</li><li>Identify options for configuring network redundancy in a vSphere HA cluster</li><li>Recognize the use cases for various vSphere HA settings</li><li>Configure a cluster enabled for vSphere DRS and vSphere HA</li><li>Recognize when to use vSphere Fault Tolerance</li><li>Describe the function of the vCLS</li><li>Recognize operations that might disrupt the healthy functioning of vCLS VMs</li></ul><h4>ESXi Operations</h4><ul><li>Use host profiles to manage ESXi configuration compliance</li><li>Recognize the benefits of using configuration profiles</li></ul><h4>Managing the vSphere Lifecycle</h4><ul><li>Generate vCenter interoperability reports</li><li>Recognize features of vSphere Lifecycle Manager</li><li>Describe ESXi images and image depots</li><li>Enable vSphere Lifecycle Manager in a vSphere cluster</li><li>Validate ESXi host compliance against a cluster image and remediate ESXi hosts using vSphere Lifecycle Manager</li><li>Describe vSphere Lifecycle Manager automatic recommendations</li><li>Use vSphere Lifecycle Manager to upgrade VMware Tools and VM hardware</li></ul><h4>Network Operations</h4><ul><li>Configure and manage vSphere distributed switches</li><li>Describe how VMware vSphere Network I/O Control enhances performance</li><li>Define vSphere Distributed Services Engine</li><li>Describe the use cases and benefits of vSphere Distributed Services Engine</li></ul><h4>Storage Operations</h4><ul><li>Describe the architecture and requirements of vSAN configuration</li><li>Describe storage policy-based management</li><li>Recognize components in the vSphere Virtual Volumes architecture</li><li>Configure Storage I/O Control</li></ul></div>

VMware Vsphere

Veeam

vSphere

Microsoft Virtual Academy (MVA)

VMware vSphere: Fast Track [V8]

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>The primary audience for this course is as follows:<br />Network Video Engineer<br />Voice/UC/Collaboration/Communications Engineer<br />Collaboration Tools Engineer<br />Collaboration Sales/Systems Engineer</p>Overview<p>Cisco Meeting Server Overview<br />Cisco Meeting Server Deployment<br />Cisco Meeting Server User Licensing<br />Cisco Meeting Server Configuration<br />Cisco Meeting Server Configuration with Cisco Unified Communication Manager (CUCM)<br />Cisco Meeting Server Integration VCS/Expressway<br />Cisco Meeting Server Integration with TMS<br />Cisco Meeting Server Configuration with Lync/Skype for Business<br />Cisco Meeting Server Recording and Streaming<br />Cisco Meeting Manager (CMM) Deployment<br />Cisco Meeting Server WebRTC using Expressway Proxy<br />Cisco Meeting Server Customization<br />Cisco Meeting Server Troubleshooting</p><p>In this course, students will install and configure a Cisco Meeting Server version 2.x. Students will configure a multimode CMS Cluster and implement all the different components of a clustered solution. Student will also integrate CMS with Unified Communications Manager and VCS/Expressway. Students will also integrate Recording and Skype/Lync. Students will use the TMS and new Cisco Meeting Manager Schedule and monitor CMS.</p></div><div id="course-pills-2"><h4>Cisco Meeting Server Overview</h4><ul><li>What is Cisco Meeting Server<br />Cisco Meeting Server Benefits<br />Cisco Meeting Server vs Telepresence Server vs MCU<br />Cisco Meeting Server Functions?<br />Cisco Meeting Server Components<br />Cisco Meeting Server Call Bridge<br />Cisco Meeting Server Web Bridge<br />Cisco Meeting Server Turn Server<br />Cisco Meeting Server XMPP Server<br />Cisco Meeting Server Database<br />Cisco Meeting Server Scalability<br />On-premises and Cloud Conferencing<br />API Integration</li></ul><h4>Cisco Meeting Server Deployment</h4><ul><li>MMP CLI<br />Cisco Meeting Server Prerequisites<br />Cisco Meeting Server 2000 Deployments<br />Installing the server<br />Configuring the Fabric Interconnect modules<br />Configuring the Cisco Meeting Server 2000 through the MMP<br />Checking the installed software<br />Configuring the Web Admin Interface<br />Applying a License File<br />Cisco Meeting Server 1000/VM Deployments<br />Installing CMM via VMware<br />Configuring VMware Network Management<br />Configuring the VMware Instance using vSphere client<br />Retrieving and activating VMware Licenses<br />Accessing the Cisco Meeting Server 1000 Console<br />Installing CMM via Hyper-V<br />Single combined server deployment<br />Single Split Server Deployment<br />Deploying a Core Server<br />Deploying an Edge Server<br />Certificate Guidelines for Single Split Server Deployment<br />Scalable and Resilient Server Deployments</li></ul><h4>Cisco Meeting Server User Licensing</h4><ul><li>Obtaining and Entering a License File<br />Cisco Meeting Server Licenses<br />Cisco User Licenses<br />Personal Multiparty Plus Licensing<br />Shared Multiparty Plus Licensing<br />Cisco Meeting Server Capacity Units<br />XMPP Licensing for Cisco Meeting Apps<br />Cisco Meeting Server Capacity Units</li></ul><h4>Cisco Meeting Server Configuration</h4><ul><li>Transferring the License File to the Cisco Meeting Sever<br />Creating a Cisco Meeting Server Administrator Account<br />Setting up the Network Interface for IPv4<br />Adding additional Network Interfaces<br />Configuring the Web Admin Interface<br />Creating the certificate for the Web Admin Interface<br />Configuring the Web Admin Interface for HTTS Access<br />Configuring the Web Bridge<br />Configuring the TURN server<br />Configuring the Databases<br />Deploying Web Bridges<br />Deploying multiple Web Bridges<br />Setting up the Web Bridges? certificates<br />Setting up the Web Bridges via the API<br />Web Bridge call flow<br />Cisco Meeting App and WebRTC Client<br />Enabling HTTP redirect and the Web Bridge<br />Deploying the TURN Servers<br />Dial plan configuration ? Overview<br />Dial plan rules for incoming calls and outbound calls<br />Outbound Dial Plan Rules<br />Inbound Dial Plan Rules<br />Forwarding Dial Plan Rules<br />Dial plan configuration?SIP endpoints</li></ul><h4>Cisco Meeting Server (CMS) Configuration with Cisco Unified Communication Manager (CUCM)</h4><ul><li>CUCM and CMS Integration<br />Setting up Escalated ad hoc calls<br />Configuring the Meeting Server<br />Setup Incoming Dial Plan<br />Setup Administrator Account with API Permission<br />Adding the Cisco Meeting Server as a Conference Bridge<br />Creating a Media Resource Group<br />Creating a Media Resource List<br />Adding the Media Resource Group to a Device Pool or Device<br />Setting up Scheduled and Rendezvous Calls<br />Configure Outbound Dial Plan Dial Plan<br />Configuring Cisco Unified Communications Server<br />Configure Route Groups<br />Configure Route Lists<br />Configure Route Pattern<br />Support for Active Control<br />Participant List<br />Indicators<br />Selecting Layout<br />Limitations<br />Overview of ActiveControl and the iX protocol<br />CUCM 8.x and earlier<br />Third-party networks<br />VCS-centric deployments<br />Load Balancing Calls<br />Configuring Call Bridges for Load Balancing Incoming Calls<br />Creating Call Bridge Groups<br />Enabling Load Balancing<br />Fine Tuning Load Balancing<br />Enable Load Balancing of Outbound SIP Calls<br />Setup Outbound Dial Plan Rule for Load Balancing SIP Calls<br />Supply the Call Bridge Group or Specific Call Bridge to Use for Outbound SIP Calls</li></ul><h4>Cisco Meeting Server Integration VCS/Expressway</h4><ul><li>Gateway Configuration<br />Call Testing<br />Inbound call from an endpoint registered to a VCS/Expressway<br />Outbound call to an endpoint registered to a VCS/Expressway<br />Calling non Cisco Meeting App users from H.323 endpoint<br />Troubleshooting</li></ul><h4>Cisco Meeting Server Integration with TMS</h4><ul><li>TMS Integration</li></ul><h4>Cisco Meeting Server Configuration with Lync/Skype for Business</h4><ul><li>Configuring Cisco Meeting Server with SKYPE<br />Dial plan configuration ? integrating Lync/Skype for Business<br />Lync clients dialing into a call on clustered Meeting Servers<br />Integrating SIP endpoints and Lync clients<br />Adding calls between Lync clients and SIP video endpoints<br />Lync Front End server configuration<br />VCS configuration<br />Meeting Server configuration<br />Integrating Cisco Meeting App with SIP and Lync clients<br />Integrating Lync using Lync Edge service<br />Controlling the bandwidth for sharing content on Microsoft Lync and Skype for<br />Business calls<br />Direct Lync federation<br />Calling into scheduled Lync meetings directly and via IVR<br />Office 365 Dual Homed Experience with OBTP Scheduling</li></ul><h4>Cisco Meeting Server Recording and Streaming</h4><ul><li>Recording Meetings<br />Recorder licensing<br />Recording with Vbrick<br />Prerequisites for the Meeting Server<br />Configuring the Meeting Server to work with Vbrick<br />Steps to configuring the Streamer<br />Deploying streaming<br />Streamer licensing Recording meetings</li></ul><h4>Cisco Meeting Manager (CMM) Deployment</h4><ul><li>Deploy Cisco Meeting Manager<br />Cisco Meeting Manager Meetings<br />Navigation<br />List Meetings<br />Edit Meetings<br />Layout<br />Recording<br />Streaming<br />Participants<br />Find meetings<br />Find participants<br />Change layout for all participants in a meeting<br />Start and stop recording<br />Start and stop streaming<br />Add participants<br />Change layout for an individual participant<br />Turn audio or video on or off<br />View participant details<br />Call statistics</li></ul><h4>Cisco Meeting Server WebRTC using Expressway Proxy</h4><ul><li>Configure Cisco Meeting Server for WebRTC Proxy<br />Configure Cisco Expressway C<br />Configure Turn on Cisco Expressway E</li></ul><h4>Cisco Meeting Server Customization</h4><ul><li>WebRTC App Customization<br />Call Customization<br />IVR Message Customization<br />SIP/LYNC Call Message Customization<br />Invitation Customization</li></ul><h4>Cisco Meeting Server Troubleshooting</h4><ul><li>Troubleshooting Cisco Meeting Server Connectivity<br />Troubleshooting Web Bridge connectivity<br />Troubleshooting Call Server issues<br />Troubleshooting Conferencing issues</li></ul></div>

Certified ScrumMaster (CSM)

Sccm

Certificate in Information Security Management Principles (CISMP)

Commercial & Contract Management Certification Program (CCM)

ICMCMS-CT-Implementing, Configuring and Managing Cisco Meeting Server

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>IT professionals with five to eight years of experience in these roles:<br />Data center engineers<br />Network designers<br />Network administrators<br />Network engineers<br />Systems engineers<br />System administrator<br />Consulting systems engineers<br />Technical solutions architects<br />Server administrators<br />Network managers<br />Cisco integrators or partners</p>Overview<p>After taking this course, you should be able to:<br />Describe the Layer 2 and Layer 3 forwarding options and protocols used in a data center<br />Describe the rack design options, traffic patterns, and data center switching layer access, aggregation, and core<br />Describe the Cisco Overlay Transport Virtualization (OTV) technology that is used to interconnect data centers<br />Describe Locator/ID separation protocol<br />Design a solution that uses Virtual Extensible LAN (VXLAN) for traffic forwarding<br />Describe hardware redundancy options; how to virtualize the network, compute, and storage functions; and virtual networking in the data center<br />Describe solutions that use fabric extenders and compare Cisco Adapter Fabric Extender (FEX) with single root input/output virtualization (SR-IOV)<br />Describe security threats and solutions in the data center<br />Describe advanced data center security technologies and best practices<br />Describe device management and orchestration in the data center<br />Describe the storage options for compute function and different Redundant Array of Independent Disks (RAID) levels from a high-availability and performance perspective<br />Describe Fibre Channel concepts, topologies, architecture, and industry terms<br />Describe Fibre Channel over Ethernet (FCoE)<br />Describe security options in the storage network<br />Describe management and automation options for storage networking infrastructure<br />Describe Cisco UCS servers and use cases for various Cisco UCS platforms<br />Explain the connectivity options for fabric interconnects for southbound and northbound connections<br />Describe the hyperconverged solution and integrated systems<br />Describe the systemwide parameters for setting up a Cisco UCS domain<br />Describe role-based access control (RBAC) and integration with directory servers to control access rights on Cisco UCS Manager<br />Describe the pools that may be used in service profiles or service profile templates on Cisco UCS Manager<br />Describe the different policies in the service profile<br />Describe the Ethernet and Fibre Channel interface policies and additional network technologies<br />Describe the advantages of templates and the difference between initial and updated templates<br />Describe data center automation tools</p><p>The Designing Cisco Data Center Infrastructure (DCID) v7.0 course helps you master design and deployment options focused on CiscoÂ© data center solutions and technologies across network, compute, virtualization, storage area networks, automation, and security. You will learn design practices for the Cisco Unified Computing System? (Cisco UCSÂ©) solution based on Cisco UCS B-Series and C-Series servers, Cisco UCS Manager, and Cisco Unified Fabric. You will also gain design experience with network management technologies including Cisco UCS Manager, Cisco Data Center Network Manager (DCNM), and Cisco UCS Director.<br />This course helps you prepare to take the exam, Designing Cisco Data Center Infrastructure (300-610 DCID)</p></div><div id="course-pills-2"><h4>Describing High Availability on Layer 2</h4><ul><li>Overview of Layer 2 High-Availability Mechanisms</li><li>Virtual Port Channels</li><li>Cisco Fabric Path</li><li>Virtual Port Channel+</li></ul><h4>Designing Layer 3 Connectivity</h4><ul><li>First Hop Redundancy Protocols</li><li>Improve Routing Protocol Performance and Security</li><li>Enhance Layer 3 Scalability and Robustness</li></ul><h4>Designing Data Center Topologies</h4><ul><li>Data Center Traffic Flows</li><li>Cabling Challenges</li><li>Access Layer</li><li>Aggregation Layer</li><li>Core Layer</li><li>Spine-and-Leaf Topology</li><li>Redundancy Options</li></ul><h4>Designing Data Center Interconnects with Cisco OTV</h4><ul><li>Cisco OTV Overview</li><li>Cisco OTV Control and Data Planes</li><li>Failure Isolation</li><li>Cisco OTV Features</li><li>Optimize Cisco OTV</li><li>Evaluate Cisco OTV</li></ul><h4>Describing Locator/ID Separation Protocol</h4><ul><li>Locator/ID Separation Protocol</li><li>Location Identifier Separation Protocol (LISP) Virtual Machine (VM) Mobility</li><li>LISP Extended Subnet Mode (ESM) Multihop Mobility</li><li>LISP VPN Virtualization</li></ul><h4>Describing VXLAN Overlay Networks</h4><ul><li>Describe VXLAN Benefits over VLAN</li><li>Layer 2 and Layer 3 VXLAN Overlay</li><li>Multiprotocol Border Gateway Protocol (MP-BGP) Ethernet VPN (EVPN) Control Plane Overview</li><li>VXLAN Data Plane</li></ul><h4>Describing Hardware and Device Virtualization</h4><ul><li>Hardware-Based High Availability</li><li>Device Virtualization</li><li>Cisco UCS Hardware Virtualization</li><li>Server Virtualization</li><li>SAN Virtualization</li><li>N-Port ID Virtualization</li></ul><h4>Describing Cisco FEX Options</h4><ul><li>Cisco Adapter FEX</li><li>Access Layer with Cisco FEX</li><li>Cisco FEX Topologies</li><li>Virtualization-Aware Networking</li><li>Single Root I/O Virtualization</li><li>Cisco FEX Evaluation</li></ul><h4>Describing Basic Data Center Security</h4><ul><li>Threat Mitigation</li><li>Attack and Countermeasure Examples</li><li>Secure the Management Plane</li><li>Protect the Control Plane</li><li>RBAC and Authentication, Authorization, and Accounting (AAA)</li></ul><h4>Describing Advanced Data Center Security</h4><ul><li>Cisco TrustSec in Cisco Secure Enclaves Architecture</li><li>Cisco TrustSec Operation</li><li>Firewalling</li><li>Positioning the Firewall Within Data Center Networks</li><li>Cisco FirepowerÂ© Portfolio</li><li>Firewall Virtualization</li><li>Design for Threat Mitigation</li></ul><h4>Describing Management and Orchestration</h4><ul><li>Network and License Management</li><li>Cisco UCS Manager</li><li>Cisco UCS Director</li><li>Cisco Intersight</li><li>Cisco DCNM Overview</li></ul><h4>Describing Storage and RAID Options</h4><ul><li>Position DAS in Storage Technologies</li><li>Network-Attached Storage</li><li>Fibre Channel, FCoE, and Internet Small Computer System Interface (iSCSI)</li><li>Evaluate Storage Technologies</li></ul><h4>Describing Fibre Channel Concepts</h4><ul><li>Fibre Channel Connections, Layers, and Addresses</li><li>Fibre Channel Communication</li><li>Virtualization in Fibre Channel SAN</li></ul><h4>Describing Fibre Channel Topologies</h4><ul><li>SAN Parameterization</li><li>SAN Design Options</li><li>Choosing a Fibre Channel Design Solution</li></ul><h4>Describing FCoE</h4><ul><li>FCoE Protocol Characteristics</li><li>FCoE Communication</li><li>Data Center Bridging</li><li>FCoE Initialization Protocol</li><li>FCoE Design Options</li></ul><h4>Describing Storage Security</h4><ul><li>Common SAN Security Features</li><li>Zones</li><li>SAN Security Enhancements</li><li>Cryptography in SAN</li></ul><h4>Describing SAN Management and Orchestration</h4><ul><li>Cisco DCNM for SAN</li><li>Cisco DCNM Analytics and Streaming Telemetry</li><li>Cisco UCS Director in the SAN</li><li>Cisco UCS Director Workflows</li></ul><h4>Describing Cisco UCS Servers and Use Cases</h4><ul><li>Cisco UCS C-Series Servers</li><li>Fabric Interconnects and Blade Chassis</li><li>Cisco UCS B-Series Server Adapter Cards</li><li>Stateless Computing</li><li>Cisco UCS Mini</li></ul><h4>Describing Fabric Interconnect Connectivity</h4><ul><li>Use of Fabric Interconnect Interfaces</li><li>VLANs and VSANs in a Cisco UCS Domain</li><li>Southbound Connections</li><li>Northbound Connections</li><li>Disjoint Layer 2 Networks</li><li>Fabric Interconnect High Availability and Redundancy</li></ul><h4>Describing Hyperconverged and Integrated Systems</h4><ul><li>Hyperconverged and Integrated Systems Overview</li><li>Cisco HyperFlex? Solution</li><li>Cisco HyperFlex Scalability and Robustness</li><li>Cisco HyperFlex Clusters</li><li>Cluster Capacity and Multiple Clusters on One Cisco UCS Domain</li><li>External Storage and Graphical Processing Units on Cisco HyperFlex</li><li>Cisco HyperFlex Positioning</li></ul><h4>Describing Cisco UCS Manager Systemwide Parameters</h4><ul><li>Cisco UCS Setup and Management</li><li>Cisco UCS Traffic Management</li></ul><h4>Describing Cisco UCS RBAC</h4><ul><li>Roles and Privileges</li><li>Organizations in Cisco UCS Manager</li><li>Locales and Effective Rights</li><li>Authentication, Authorization, and Accounting</li><li>Two-Factor Authentication</li></ul><h4>Describing Pools for Service Profiles</h4><ul><li>Global and Local Pools</li><li>Universally Unique Identifier (UUID) Suffix and Media Access Control (MAC) Address Pools</li><li>World Wide Name (WWN) Pools</li><li>Server and iSCSI Initiator IP Pools</li></ul><h4>Describing Policies for Service Profiles</h4><ul><li>Global vs. Local Policies</li><li>Storage and Basic Input/Output System (BIOS) Policies</li><li>Boot and Scrub Policies</li><li>Intelligent Platform Management Interface (IPMI) and Maintenance Policies</li></ul><h4>Describing Network-Specific Adapters and Policies</h4><ul><li>LAN Connectivity Controls</li><li>SAN Connectivity Controls</li><li>Virtual Access Layer</li><li>Connectivity Enhancements</li></ul><h4>Describing Templates in Cisco UCS Manager</h4><ul><li>Cisco UCS Templates</li><li>Service Profile Templates</li><li>Network Templates</li></ul><h4>Designing Data Center Automation</h4><ul><li>Model-Driven Programmability</li><li>Cisco NX-API Overview</li><li>Programmability Using Python</li><li>Cisco Ansible Module</li><li>Use the Puppet Agent</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Designing Cisco Data Center Infrastructure v7.0 (DCID) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Cisco Designing Cisco Data Center Infrastructure v7.0 (DCID) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Service Design Courses (SDC)

Cisco Designing Cisco Data Center Infrastructure v7.0 (DCID)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>AdministratorDatabase Administrators</p>Overview<p>Describe the components of ASMExplain and apply Automatic Storage Management (ASM) initialization parametersManage ASM instances and associated processesMonitor ASM using the V$ASM dynamic performance viewsUnderstand Flex ASM architecture and componentsUnderstand ASM Deployment AlternativesInstall and configure Flex ASMManage Flex ASMEmploy ASM space management techniquesCreate and delete Automatic Storage Management (ASM) disk groupsSet the attributes of an existing ASM disk groupPerform ongoing maintenance tasks on ASM disk groupsExplain key performance and scalability considerations for ASM disk groupsDescribe the Automatic Storage Management (ASM) architectureUse different client tools to access ASM filesDescribe the format of a fully qualified ASM file name</p><p>This Oracle Database 12c: ASM Administration training teaches you about Oracle ASM architecture. Expert Oracle University instructors will help you develop a deeper understanding of both standard ASM and Flex ASM applications.</p></div><div id="course-pills-2">This Oracle Database 12c: ASM Administration training teaches you about Oracle ASM architecture. Expert Oracle University instructors will help you develop a deeper understanding of both standard ASM and Flex ASM applications.</div>

Oracle Primavera

Oracle SQL

AWS Certified Database

Oracle Fusion HCM

Oracle 1Z0-819

Oracle Database

Oracle Database 12c - ASM Administration Ed 1

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>Enterprise network system installers<br />System integrators<br />System administrators<br />Network administrators<br />Solutions designers</p>Overview<p>After taking this course, you should be able to:<br />Identify the various network elements of the Cisco SD-WAN solution.<br />Deploy WAN Edge routers.<br />Create templates to aid in the deployment and operation of the Cisco SD-WAN network.<br />Configure and verify Cisco SD-WAN overlay routing.<br />Create simple policies to control traffic flow through the Cisco SD-WAN fabric.</p><p>The Cisco SD-WAN Operation and Deployment (SDWFND) v2.0 course provides a comprehensive overview of the CiscoÂ© Software-Defined WAN (SD-WAN) solution and Cisco SD-WAN components such as vManage, vSmart and vBond.You will learn how to deploy, manage, and operate a secure, programmable, and scalable SD-WAN fabric using IOS XE Cisco SD-WAN products. The course also covers how to configure, operate, and monitor overlay routing across the Cisco SD-WAN network. In addition, you will learn about data and control policies, and how to deploy Quality of Service (QoS) and Direct Internet Access (DIA) in the SD-WAN overlay network.The course will allow you to earn 16 Continuing Education (CE) credits toward recertification.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Cisco SD-WAN Solution Components</li><li>Cisco SD-WAN Network Deployment</li><li>Cisco SD-WAN Configuration Management</li><li>Cisco SD-WAN Overlay Routing</li><li>Cisco SD-WAN Policies</li></ul></div>

Cisco SDWAN Fundamentals v2.0 (SDWFND)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>Security professionals, System engineers, channel partners, service partners, and end users with at least one year of experience in implementing IT security technologies (Network, Applications, and Systems).</p>Overview<p>This course will enable students to configure, monitor, manage, and optimize the SonicWall Network Security firewall appliances running the new SonicOS 7 to effectively defend against limitless network and cyberthreats and implement SonicWall Boundless Cybersecurity safeguards for seamless protection. Upon completion of the course, students will be able to configure the SonicWall firewall for Secure and Remote Connectivity, Network Optimization, and Advanced Threat Protection.</p><p>The SonicWall Network Security Administrator (SNSA) for SonicOS 7.0curriculum provides students the required background, knowledge, and hands-on experience to begin designing, implementing, and troubleshooting SonicWall Network Security products. SonicOS 7 is SonicWall?s brand new and most advanced security operating system and is at the core of its latest physical and virtual firewalls, including models from the TZ, NSv, NSa and NSsp Series. SonicOS 7.0 features advanced security, simplified policy management, and critical networking and management capabilities for distributed enterprises and small- to medium-sized businesses with SD-branch support.</p></div><div id="course-pills-2"><h4>Course Outline </h4><ul><li>Setting up Basic Firewall Components</li><li>Unified Threat Management</li><li>Secure Access</li><li>Deep Packet Inspection for SSL (DPI-SSL)</li><li>Content Filtering Services</li><li>Application Control</li><li>Scalability and Reliability</li><li>SD-WAN</li><li>High Availability</li><li>Troubleshooting Tools</li></ul></div>

IT Security

Certified School Nurse (CSN)

Microsoft Certified Solutions Associate (MCSA)

Network & Security

Security Awareness

CompTIA Security+

SonicWALL Network Security Administrator For Sonic OS 7 - SNSA v7 - NA

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>Successful students have experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. Students also have experience designing and architecting solutions.</p> <p>Before attending this course, students must have previous experience deploying or administering Azure resources and strong conceptual knowledge of:</p> <ul> <li><p>Azure compute technologies such as VMs, containers and serverless solutions</p> </li> <li><p>Azure virtual networking to include load balancers</p> </li> <li><p>Azure Storage technologies (unstructured and databases)</p> </li> <li><p>General application design concepts such as messaging and high availability</p> </li> </ul><p></p><p></p><p>This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.</p><p></p>Prerequisites<p>Before attending this course, students must have previous experience deploying or administering Azure resources and conceptual knowledge of:  </p><li>Azure Active Directory</li>  <li>Azure compute technologies such as VMs, containers and serverless solutions</li>  <li>Azure virtual networking to include load balancers</li>  <li>Azure Storage technologies (unstructured and databases)</li>  <li>General application design concepts such as messaging and high availability</li>  <li>AZ-104T00 - Microsoft Azure Administrator<p></p></li></div><div id="course-pills-2"><h3>1 - Design governance</h3> <ul> <li>Design for governance</li> <li>Design for management groups</li> <li>Design for subscriptions</li> <li>Design for resource groups</li> <li>Design for resource tags</li> <li>Design for Azure Policy</li> <li>Design for role-based access control (RBAC)</li> <li>Design for Azure landing zones</li> </ul> <h3>2 - Design an Azure compute solution</h3> <ul> <li>Choose an Azure compute service</li> <li>Design for Azure Virtual Machines solutions</li> <li>Design for Azure Batch solutions</li> <li>Design for Azure App Service solutions</li> <li>Design for Azure Container Instances solutions</li> <li>Design for Azure Kubernetes Service solutions</li> <li>Design for Azure Functions solutions</li> <li>Design for Azure Logic Apps solutions</li> </ul> <h3>3 - Design a data storage solution for non-relational data</h3> <ul> <li>Design for data storage</li> <li>Design for Azure storage accounts</li> <li>Design for data redundancy</li> <li>Design for Azure Blob Storage</li> <li>Design for Azure Files</li> <li>Design for Azure managed disks</li> <li>Design for storage security</li> </ul> <h3>4 - Design a data storage solution for relational data</h3> <ul> <li>Design for Azure SQL Database</li> <li>Design for Azure SQL Managed Instance</li> <li>Design for SQL Server on Azure Virtual Machines</li> <li>Recommend a solution for database scalability</li> <li>Recommend a solution for database availability</li> <li>Design security for data at rest, data in motion, and data in use</li> <li>Design for Azure SQL Edge</li> <li>Design for Azure Cosmos DB and Table Storage</li> </ul> <h3>5 - Design data integration</h3> <ul> <li>Design a data integration solution with Azure Data Factory</li> <li>Design a data integration solution with Azure Data Lake</li> <li>Design a data integration and analytic solution with Azure Databricks</li> <li>Design a data integration and analytic solution with Azure Synapse Analytics</li> <li>Design strategies for hot, warm, and cold data paths</li> <li>Design an Azure Stream Analytics solution for data analysis</li> </ul> <h3>6 - Design an application architecture</h3> <ul> <li>Describe message and event scenarios</li> <li>Design a messaging solution</li> <li>Design an Azure Event Hubs messaging solution</li> <li>Design an event-driven solution</li> <li>Design a caching solution</li> <li>Design API integration</li> <li>Design an automated app deployment solution</li> <li>Design an app configuration management solution</li> </ul> <h3>7 - Design authentication and authorization solutions</h3> <ul> <li>Design for identity and access management (IAM)</li> <li>Design for Microsoft Entra ID</li> <li>Design for Microsoft Entra business-to-business (B2B)</li> <li>Design for Azure Active Directory B2C (business-to-customer)</li> <li>Design for conditional access</li> <li>Design for identity protection</li> <li>Design for access reviews</li> <li>Design service principals for applications</li> <li>Design managed identities</li> <li>Design for Azure Key Vault</li> </ul> <h3>8 - Design a solution to log and monitor Azure resources</h3> <ul> <li>Design for Azure Monitor data sources</li> <li>Design for Azure Monitor Logs (Log Analytics) workspaces</li> <li>Design for Azure Workbooks and Azure insights</li> <li>Design for Azure Data Explorer</li> </ul> <h3>9 - Design network solutions</h3> <ul> <li>Recommend a network architecture solution based on workload requirements</li> <li>Design patterns for Azure network connectivity services</li> <li>Design outbound connectivity and routing</li> <li>Design for on-premises connectivity to Azure Virtual Network</li> <li>Choose an application delivery service</li> <li>Design for application delivery services</li> <li>Design for application protection services</li> </ul> <h3>10 - Design a solution for backup and disaster recovery</h3> <ul> <li>Design for backup and recovery</li> <li>Design for Azure Backup</li> <li>Design for Azure blob backup and recovery</li> <li>Design for Azure files backup and recovery</li> <li>Design for Azure virtual machine backup and recovery</li> <li>Design for Azure SQL backup and recovery</li> <li>Design for Azure Site Recovery</li> </ul> <h3>11 - Design migrations</h3> <ul> <li>Evaluate migration with the Cloud Adoption Framework</li> <li>Describe the Azure migration framework</li> <li>Assess your on-premises workloads</li> <li>Select a migration tool</li> <li>Migrate your structured data in databases</li> <li>Select an online storage migration tool for unstructured data</li> <li>Migrate offline data</li> </ul> <h3>12 - Introduction to the Microsoft Azure Well-Architected Framework</h3> <ul> <li>Azure Well-Architected Framework pillars</li> <li>Cost optimization</li> <li>Operational excellence</li> <li>Performance efficiency</li> <li>Reliability</li> <li>Security</li> </ul> <h3>13 - Microsoft Azure Well-Architected Framework - Cost Optimization</h3> <ul> <li>Develop cost-management discipline</li> <li>Design with a cost-efficiency mindset</li> <li>Design for usage optimization</li> <li>Design for rate optimization</li> <li>Monitor and optimize over time</li> </ul> <h3>14 - Microsoft Azure Well-Architected Framework - Operational excellence</h3> <ul> <li>Embrace DevOps culture</li> <li>Establish development standards</li> <li>Evolve operations with observability</li> <li>Deploy with confidence</li> <li>Automate for efficiency</li> <li>Adopt safe deployment practices</li> </ul> <h3>15 - Microsoft Azure Well-Architected Framework - Performance efficiency</h3> <ul> <li>Negotiate realistic performance targets</li> <li>Design to meet capacity requirements</li> <li>Achieve and sustain performance</li> <li>Improve efficiency through optimization</li> </ul> <h3>16 - Microsoft Azure Well-Architected Framework - Reliability</h3> <ul> <li>Design for business requirements</li> <li>Design for resilience</li> <li>Design for recovery</li> <li>Design for operations</li> <li>Keep it simple</li> </ul> <h3>17 - Microsoft Azure Well-Architected Framework - Security</h3> <ul> <li>Plan your security readiness</li> <li>Design to protect confidentiality</li> <li>Design to protect integrity</li> <li>Design to protect availability</li> <li>Sustain and evolve your security posture</li> </ul> <h3>18 - Getting started with the Microsoft Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Common blockers</li> </ul> <h3>19 - Prepare for successful cloud adoption with a well-defined strategy</h3> <ul> <li>Customer narrative</li> <li>Capture strategic motivation</li> <li>Define objectives and key results</li> <li>Evaluate financial considerations</li> <li>Understand technical considerations</li> <li>Create a business case</li> </ul> <h3>20 - Prepare for cloud adoption with a data-driven plan</h3> <ul> <li>Customer narrative</li> </ul> <h3>21 - Choose the best Azure landing zone to support your requirements for cloud operations</h3> <ul> <li>Customer narrative</li> <li>Common operating models</li> <li>Design areas for Azure landing zones</li> <li>Design principles for Azure landing zones</li> <li>Journey to the target architecture</li> <li>Choose an Azure landing zone option</li> <li>Deploy the Azure landing zone accelerator</li> <li>Enhance your landing zone</li> </ul> <h3>22 - Migrate to Azure through repeatable processes and common tools</h3> <ul> <li>Customer narrative</li> <li>Migration process</li> <li>Migration tools</li> <li>Common tech platforms</li> </ul> <h3>23 - Address tangible risks with the Govern methodology of the Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Govern methodology</li> <li>Corporate policies</li> <li>Governance disciplines</li> <li>Deploy a cloud governance foundation</li> <li>The Cost Management discipline</li> </ul> <h3>24 - Ensure stable operations and optimization across all supported workloads deployed to the cloud</h3> <ul> <li>Establish business commitments</li> <li>Deploy an operations baseline</li> <li>Protect and recover</li> <li>Enhance an operations baseline</li> <li>Manage platform and workload specialization</li> </ul> <h3>25 - Innovate applications by using Azure cloud technologies</h3> <ul> <li>Follow the innovation lifecycle</li> <li>Azure technologies for the build process</li> <li>Infuse your applications with AI</li> <li>Azure technologies for measuring business impact</li> <li>Azure technologies for the learn process</li> </ul> <h3>26 - Prepare for cloud security by using the Microsoft Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Methodology</li> <li>Security roles and responsibilities</li> <li>Simplify compliance and security</li> <li>Simplify security implementation</li> <li>Security tools and policies</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans AZ-305T00: Designing Microsoft Azure Infrastructure Solutions training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the AZ-305T00: Designing Microsoft Azure Infrastructure Solutions course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

AWS Certified Solutions Architect

AZ-305T00 Designing Microsoft Azure Infrastructure Solutions

General Admission

Packt

Scala

Big Data

Scala is doubtless one of the most in-demand skills for data scientists and data engineers. This competitive course will teach you the essential concepts and methodologies of Scala with a lot of practical implementations.

Scala & Spark-Master Big Data with Scala and Spark

<strong>This is an amazing course for anyone who wants to get started with functional programming with libraries such as cats-effect/ZIO and understand IO Monad in depth.

Learn about functional programming and effects from this most structured and well-thought-out course on Scala IOs.</strong>
        <p>Modern applications often need to describe complex workflows involving multiple external systems. These are notoriously difficult to get right as it requires handling errors, various retry strategies, and non-determinism because of concurrent executions. In this course, you will learn how to solve this problem using both imperative and functional programming.

This course is divided into three parts.

The first part covers building a CLI tool imperatively. Here, you will learn how to test code with external dependencies, handle errors, and retry if something goes wrong. One of the goals of the section is to discover how functional programmers came up with the notion of IO. It's the commonest way to action the functional programming world.

In the next part, you will create and implement an IO class from scratch; this will solve two different problems, of which one is searching for a flight aggregator. In the final part, you will extend IO to execute tasks concurrently. Here, you will be looking to add concurrency methods to IO implementation so that you can execute some tasks in the background.

By the end of the course, you will be able to read and write code using popular Scala libraries such as cats-effect, Monix, and ZIO. This skill is in high demand.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Supercharge-Scala-Future---FP-Tower</p>
        <h2>What You Will Learn</h2><p>Install SBT, Scala, and IntelliJ IDEA<br>Understand the difference between IO (cats-effect, Monix, ZIO) and Future<br>Learn to use lazy evaluation to repeat actions and execute code concurrently<br>Write property-based tests for real-world examples<br>Understand the dangers of blocking code in a concurrent environment<br>Execute a project on flight search aggregator</p>
        <h2>Audience</h2><p>This course is designed for developers interested in concurrency, functional programming, and backend developers. Scala developers more familiar with Akka, Play, and Future will also gain a lot from this course. Individuals who want to gain the skills to join one of the many companies using functional Scala and learn to think functionally will be best suited to this course.<br><br>You will need to have moderate programming experience with Scala. The author will take you through downloading and installing SBT, Scala, and an IDE.</p>
        <h2>Approach</h2><p>This course is designed with a practical and hands-on approach. In this course, you will write lots of Scala code, test it using both example-based and property-based tests, experience issues caused by blocking logic and concurrent execution, and work your way to efficient solutions in small and incremental steps. The author guides you through all the exercises and provides a complete set of solutions.</p>
        <h2>Key Features</h2><p>Learn by demystifying complex concepts using explanations that are free of confusing jargon * Gain the skills to join one of the many companies using functional Scala * Learn to think functionally with the help of all requisite resources and learn from scratch</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Supercharge-Scala-Future---FP-Tower</p>
        <h2>About the Author</h2><h3>Julien Truffaut</h3><p>Fp-Tower by Julien Truffaut offers online Scala courses that help in learning the practical side of functional programming, so you can improve your skills and your career. He is a programmer who specializes in functional programming and the Scala programming language. He has been conducting functional programming seminars and online courses with remarkable success for over seven years. He focuses on demystifying complex subjects through straightforward explanations free of jargon.

He is the author of Monocle, an optics library for functional Scala developers, which allows them to quickly transform and access deeply nested data structures. This is comparable to XPath or jq, except that it applies to all immutable data structures.</p>
        <h2>Course Outline</h2><h4>1. Actions with Imperative Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an overview of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Console Exercise - Testing</p><p style='margin: 0'>This video demonstrates how to take users' input through the command line.</p></td></tr><tr><td style='padding: 15px;'><p>3. Console Exercises - Error Handling</p><p style='margin: 0'>This video demonstrates how to take users' input through the command line, making it more user-friendly using the error handling feature.</p></td></tr><tr><td style='padding: 15px;'><p>4. Evaluation</p><p style='margin: 0'>This video demonstrates how code is executed in Scala and how to delay an execution to an appropriate time. You will start by reviewing the techniques to define a code expression in Scala.</p></td></tr><tr><td style='padding: 15px;'><p>5. Console Exercises - retry and onError</p><p style='margin: 0'>This video helps you learn the concept of retrying an operation with a single higher order function and reuse to refactor the code of readDataOfBirthRetry and readSubscribeToMailingListRetry.</p></td></tr><tr><td style='padding: 15px;'><p>6. Console Exercises - Code Organization</p><p style='margin: 0'>This video demonstrates and explains code organization.</p></td></tr></tbody></table><br><h4>2. Build Your Own IO</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Is an IO?</p><p style='margin: 0'>This video provides an overview about IO (Input/Output).</p></td></tr><tr><td style='padding: 15px;'><p>2. IO Composition</p><p style='margin: 0'>This video explains about IO composition.</p></td></tr><tr><td style='padding: 15px;'><p>3. For Comprehension</p><p style='margin: 0'>This video demonstrates the comprehension part.</p></td></tr><tr><td style='padding: 15px;'><p>4. Error Handling with IO</p><p style='margin: 0'>This video talks about error handling with IO.</p></td></tr><tr><td style='padding: 15px;'><p>5. Refactoring</p><p style='margin: 0'>This video explains the concept of refactoring.</p></td></tr></tbody></table><br><h4>3. Project: Search Flight Aggregator</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. First Implementation</p><p style='margin: 0'>This video provides an introduction and the project's implementation from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>2. Traverse and Sequence</p><p style='margin: 0'>This video demonstrates the concepts of traverse and sequence in this project.</p></td></tr><tr><td style='padding: 15px;'><p>3. Concurrent IO</p><p style='margin: 0'>This video explains one of the toughest concepts, which is Concurrent IO.</p></td></tr><tr><td style='padding: 15px;'><p>4. Non-Blocking IO</p><p style='margin: 0'>This video explains about Non-Blocking IO.</p></td></tr></tbody></table><br><h4>4. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Thank You and Conclusion</p><p style='margin: 0'>This video talks about the course conclusion and helps you with the next steps.</p></td></tr></tbody></table>

Java

Programming

This is an amazing course for anyone who wants to get started with functional programming with libraries such as cats-effect/ZIO and understand IO Monad in depth.

Learn about functional programming and effects from this most structured and well-thought-out course on Scala IOs.

Supercharge Scala Future | FP-Tower

<strong>In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.</strong>
        <p>In this course, you will learn the basics of the Scala programming language; learn how Apache Spark operates on a cluster; set up discretized streams with Spark Streaming and transform them as data is received; analyze streaming data over sliding windows of time; maintain stateful information across streams of data; connect Spark Streaming with highly scalable sources of data, including Kafka, Flume, and Kinesis; dump streams of data in real-time to NoSQL databases such as Cassandra; run SQL queries on streamed data in real-time; train machine learning models in real-time with streaming data, and use them to make predictions that keep getting better over time; and also, package, deploy, and run self-contained Spark Streaming code to a real Hadoop cluster using Amazon Elastic MapReduce.

This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. By the end of this course, you will be confidently creating Spark Streaming scripts in Scala and be prepared to tackle massive streams of data in a whole new way. You will be surprised at how easy Spark Streaming makes it!

All the codes and supporting files for this course are available at https://github.com/packtpublishing/streaming-big-data-with-spark-streaming-scala-and-spark-3-</p>
        <h2>What You Will Learn</h2><p>Process large amounts of real-time data using the Spark Streaming module<br>Create efficient Spark applications using the Scala programming language<br>Integrate Spark Streaming with various data sources<br>Integrate Spark Streaming with Spark SQL to query your data in real time<br>Train machine learning models with streaming data, and use for real-time predictions<br>Maintain stateful data across a continuous stream of input data</p>
        <h2>Audience</h2><p>If you are a student who wants to learn how to use Apache Spark or a big data professional who wants to process large amounts of data on a real-time basis, this course is for you. Some basic programming and scripting experience is required to get the most out of the course.</p>
        <h2>Approach</h2><p>This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. In this course, we will cover some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models! You will write and run real Spark Streaming jobs right at home on your own PC.</p>
        <h2>Key Features</h2><p>Process streams of real-time data from various sources with Spark Streaming * Query your streaming data in real-time using Spark SQL * A comprehensive tutorial with practical examples to help you develop real-time Spark applications</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/streaming-big-data-with-spark-streaming-scala-and-spark-3-</p>
        <h2>About the Author</h2><h3>Frank Kane</h3><p>Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.</p>
        <h2>Course Outline</h2><h4>1. Getting Started</h4><p>In this first section, we will introduce the course and set up the development environment for Spark and Scala. We will then create our first Spark Streaming application to display live Twitter feeds.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction, and Getting Set Up</p><p style='margin: 0'>A brief introduction to the course, and then we will get your development environment for Spark and Scala all set up on your desktop. A quick test application will confirm Spark is working on your system!</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Stream Live Tweets with Spark Streaming!</p><p style='margin: 0'>Get set up with a Twitter developer account and run your first Spark Streaming application to listen to and print out live Tweets as they happen!</p></td></tr></tbody></table><br><h4>2. A Crash Course in Scala</h4><p>In this section, we will take a deep dive into Scala. Even if you've never used Scala before, we will cover all of the syntax and structure that you will need to know in order to begin mining your data. We will run through flow control, functions, and data structures with numerous examples throughout so that you can see everything in action and make sure you're understanding it.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Activity] Scala Basics</p><p style='margin: 0'>We start our crash course in the Scala programming language by covering some basics of the language: types and variables, printing, and Boolean comparisons.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Flow Control in Scala</p><p style='margin: 0'>Our Scala crash course continues, illustrating various means of flow control in Scala. For loops, do/while loops, while loops and so on.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Functions in Scala</p><p style='margin: 0'>Scala is a functional programming language, and so understanding how functions work and are treated in Scala is hugely important! This lecture covers the fundamentals, and lets you put it into practice.</p></td></tr><tr><td style='padding: 15px;'><p>4. [Exercise] Data Structures in Scala</p><p style='margin: 0'>We wrap up our Scala crash course with commonly used data structures using in Spark with Scala. Tuples, lists, and maps.</p></td></tr></tbody></table><br><h4>3. Spark Streaming Concepts</h4><p>In this section, we will introduce the core concepts of Spark and Spark Streaming. We will define and work with RDDs (Resilient Distributed Datasets) and show you examples of what they can do. RDDs are the key to understanding Spark, and therefore also Spark Streaming. This is also where we will dive deeper into Spark Streaming itself, understanding its inner workings and how the concept of windowing will enable you to aggregate and analyze data over time. Finally, we will take a look at reliability and fault tolerance with regards to Spark Streaming and a few ways in which you can maximize reliability.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Spark</p><p style='margin: 0'>Before you can learn about Spark Streaming, you need to understand how Spark itself works at a high level! This video covers the why and how of Apache Spark, of which Spark Streaming is a component.</p></td></tr><tr><td style='padding: 15px;'><p>2. The Resilient Distributed Dataset (RDD)</p><p style='margin: 0'>The fundamental object of Spark programming is the Resilient Distributed Dataset (RDD), and this is used not just in Spark but also within Spark Streaming scripts. This lecture explains what they are and what you can do with them.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Activity] RDD's in Action: Simple Word Count Application</p><p style='margin: 0'>Let's walk through and actually run a simple Spark script that counts the number of occurrences of each word in a book.</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to Spark Streaming</p><p style='margin: 0'>We finally have all the pr-requisite knowledge to start talking about Spark Streaming itself in more detail! We will cover how it works, what it's for, and its architecture.</p></td></tr><tr><td style='padding: 15px;'><p>5. [Activity] Revisiting the PrintTweets application</p><p style='margin: 0'>Now that we know more, let's go revisit that first Spark Streaming application we ran in lecture two, and dive into how it really works.</p></td></tr><tr><td style='padding: 15px;'><p>6. Windowing: Aggregating data over longer time spans</p><p style='margin: 0'>Windowing allows you to analyze streaming data over a sliding window of time, which lets you do much more than just transform streaming data and store it someplace else. We will cover the concepts of the batch, window, and slide intervals, and how they work together to let you aggregate streaming data over some period of time.</p></td></tr><tr><td style='padding: 15px;'><p>7. Fault Tolerance in Spark Streaming</p><p style='margin: 0'>How can Spark Streaming do so much work continuously in a reliable manner? We will uncover some of its tricks for reliability, as well as tips for configuring Spark Streaming to be as reliable as possible.</p></td></tr></tbody></table><br><h4>4. Spark Streaming Examples with Twitter</h4><p>Now that we have seen the theory behind Spark Streaming, this section is dedicated to putting all of that into action. We will look at three practical examples of taking Twitter data and applying our new learning to it with file output, windowing, and live tracking, and analysis.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Saving Tweets to Disk</p><p style='margin: 0'>We will build on our "print tweets" example to actually store the incoming tweets to disk and illustrate how Spark Streaming can handle file output.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Tracking the Average Tweet Length</p><p style='margin: 0'>Compute the average length of a tweet, using windowing in Spark Streaming.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Tracking the Most Popular Hashtags</p><p style='margin: 0'>This is a fun one! We will track the most popular hashtags in Twitter over time and watch how they change in real time!</p></td></tr></tbody></table><br><h4>5. Spark Streaming Examples with Clickstream / Apache Access Log Data</h4><p>This section will continue to look at some of the more advanced aspects of Spark Streaming, this time using Apache access logs to monitor website traffic in real time, showing the most accessed pages and flagging up and log errors as they occur. We will also use SparkSQL to query our data live. Finally, we will look at Spark 2's new structured streaming approach, and how we can use DataSets to streamline our analysis.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Tracking the Top URL's Requested</p><p style='margin: 0'>We will simulate an incoming stream of Apache access logs and use Spark Streaming to keep track of the most-requested web pages in real time!</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Alarming on Log Errors</p><p style='margin: 0'>This example will listen to an Apache access log stream and raise an alarm if too many errors are returned by the server in real time.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Integrating Spark Streaming with Spark SQL</p><p style='margin: 0'>We will integrate Spark Streaming with Spark SQL, allowing us to run SQL queries on data as it is streamed in! Again, we will use Apache logs as an example.</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to Structured Streaming</p><p style='margin: 0'>Spark 2.0 introduced experimental support for Structured Streaming, a new DataSet-based API for Spark Streaming that is bound to become increasingly important. Learn how it works.</p></td></tr><tr><td style='padding: 15px;'><p>5. [Activity] Analyzing Apache Log files with Structured Streaming</p><p style='margin: 0'>As an example, we will stream Apache access logs in from a directory and use Structured Streaming to count up status codes over a one-hour moving window.</p></td></tr></tbody></table><br><h4>6. Integrating with Other Systems</h4><p>In this section, we will examine how Spark Streaming can be integrated with other popular data science systems. We will see how it can work with Apache Kafka to listen to and process messages in real time; how Apache Flume can work with Spark Streaming to process huge amounts of log data; using Amazon Kinesis with Spark Streaming to process live data on an AWS/EC2 cluster; and using Cassandra to store massive datasets and analyze them at speed. We will also cover how to write your own Data Receiver class in order to connect Spark Streaming to other proprietary systems.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Integrating with Apache Kafka</p><p style='margin: 0'>Apache Kafka is a popular and robust technology for publishing messages across a cluster on a large scale. We will show how to get Spark Streaming to listen to Kafka topics and process them in real time.</p></td></tr><tr><td style='padding: 15px;'><p>2. Integrating with Apache Flume</p><p style='margin: 0'>Flume is a popular technology for publishing log information at large scale, especially on a Hadoop cluster. We will illustrate how to set up both push-based and pull-based Flume configurations with Spark Streaming and discuss the tradeoffs of each.</p></td></tr><tr><td style='padding: 15px;'><p>3. Integrating with Amazon Kinesis</p><p style='margin: 0'>Amazon's Kinesis Streaming service is basically Kafka on AWS. If you're working with an AWS/EC2 cluster, you will want to know how to integrate Spark Streaming with Kinesis - and that's what this lecture covers.</p></td></tr><tr><td style='padding: 15px;'><p>4. [Activity] Writing Custom Data Receivers</p><p style='margin: 0'>What if you need to integrate Spark Streaming with some proprietary system that does not have an existing connection library? Well, you can always write your own Receiver class. This example shows you how and actually lets you build and run one.</p></td></tr><tr><td style='padding: 15px;'><p>5. Integrating with Cassandra</p><p style='margin: 0'>Cassandra is a popular "NoSQL" database that can be used to provide fast access to massive data sets to real-time applications. Dumping data transformed by Spark Streaming into a Cassandra database can expose that data to your larger, real-time services. We will show you how, and actually run a simple example.</p></td></tr></tbody></table><br><h4>7. Advanced Spark Streaming Examples</h4><p>In this section, we will run through some more advanced real-world examples of Spark Streaming. We will examine tracking stateful information, machine learning with K-Means clustering, and feeding data into linear regression models.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Stateful Information in Spark Streams</p><p style='margin: 0'>Spark has the ability to track arbitrary state across streams of data as they come in, such as web sessions, running totals and so on. This example shows you how it all works, and challenges you to track your own state using our example as a baseline.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Streaming K-Means Clustering</p><p style='margin: 0'>Spark Streaming integrates with some of Spark's MLLib (Machine Learning Library) capabilities. This example creates a real-time K-Means clustering example; it does unsupervised machine learning that continually gets better as more training data feeds into it.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Activity] Streaming Linear Regression</p><p style='margin: 0'>Spark Streaming can also feed data in real-time to linear regression models, that get better over time as more data is fed into them. This example shows linear regression in action with Spark Streaming.</p></td></tr></tbody></table><br><h4>8. Spark Streaming in Production</h4><p>This section covers how to move your applications into a production environment, using the spark-submit command to process scripts from the command line. We will also look at packaging scripts and dependencies with SBT and running code on a real cluster with Amazon's Elastic MapReduce (EMR). Finally, we will troubleshoot some code. We will see what can go wrong, and how you can identify and debug issues and tune your Spark applications for peak performance.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Activity] Packaging and Running Spark Code in Production</p><p style='margin: 0'>Your production applications won't be run from within the Scala IDE; you will need to run them from a command line, and potentially on a cluster. The spark-submit command is used for this. We will show you how to package up your application and run it using spark-submit from a command prompt.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Packaging Your Code with SBT</p><p style='margin: 0'>If your Spark Streaming application has external library dependencies that might not be already present on every machine in your cluster, the SBT tool can manage those dependencies for you, and package them into the JAR file you run with spark-submit. We will show you how it works with a real example.</p></td></tr><tr><td style='padding: 15px;'><p>3. Running on a Real Hadoop Cluster with EMR</p><p style='margin: 0'>We will run our simple word count example on a real cluster, using Amazon's Elastic MapReduce service! This just shows you what's involved in running a Spark Streaming job on a real cluster as opposed to your desktop; there are a few parameters to Spark-submit you need to worry about and getting your scripts and data in the right place is also something you need to deal with.</p></td></tr><tr><td style='padding: 15px;'><p>4. Troubleshooting and Tuning Spark Jobs</p><p style='margin: 0'>Spark jobs rarely run perfectly, if at all, on the first try - some tuning and debugging is usually required and arriving at the right scale of your cluster is also necessary. We will cover some performance tips, and how to troubleshoot what's going on with a Spark Streaming job running on a cluster.</p></td></tr></tbody></table><br><h4>9. You Made It!</h4><p>This final section runs through some recommendations on where to learn more about Spark Streaming.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning More</p><p style='margin: 0'>Want to learn more about Spark Streaming? Here are a few books and other resources I've found valuable.</p></td></tr></tbody></table>

Apache Spark

In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.

Streaming Big Data with Spark Streaming, Scala, and Spark 3!

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p></p><p>This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers.</p><p></p><p></p><p>This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.</p><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Transact-SQL</h3> <ul> <li>Work with schemas</li> <li>Explore the structure of SQL statements</li> <li>Examine the SELECT statement</li> <li>Work with data types</li> <li>Handle NULLs</li> </ul> <h3>2 - Sort and filter results in T-SQL</h3> <ul> <li>Sort your results</li> <li>Limit the sorted results</li> <li>Page results</li> <li>Remove duplicates</li> <li>Filter data with predicates</li> </ul> <h3>3 - Combine multiple tables with JOINs in T-SQL</h3> <ul> <li>Understand joins concepts and syntax</li> <li>Use inner joins</li> <li>Use outer joins</li> <li>Use cross joins</li> <li>Use self joins</li> </ul> <h3>4 - Write Subqueries in T-SQL</h3> <ul> <li>Understand subqueries</li> <li>Use scalar or multi-valued subqueries</li> <li>Use self-contained or correlated subqueries</li> </ul> <h3>5 - Use built-in functions and GROUP BY in Transact-SQL</h3> <ul> <li>Categorize built-in functions</li> <li>Use scalar functions</li> <li>Use ranking and rowset functions</li> <li>Use aggregate functions</li> <li>Summarize data with GROUP BY</li> <li>Filter groups with HAVING</li> </ul> <h3>6 - Modify data with T-SQL</h3> <ul> <li>Insert data</li> <li>Generate automatic values</li> <li>Update data</li> <li>Delete data</li> <li>Merge data based on multiple tables</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans DP-080T00 Querying Data with Microsoft Transact-SQL training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the DP-080T00 Querying Data with Microsoft Transact-SQL course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Learning & Development

Design & Technology Courses (DT)

Data Skills

Trainers Course

DP-080T00 Querying Data with Microsoft Transact-SQL

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>Developers</p>Overview<p>The basics of and motivation for using the functional programming paradigmFeatures of the Scala languageWorking with variables in ScalaUsing Scala collectionsControlling code flow in ScalaImporting and using Scala code libraries</p><p>Scala training course will teach students the key language concepts and programming techniques, essential for students to focus on the covered subjects without having to also learn a complex programming language at the same time.</p></div><div id="course-pills-2"><h4>Scala Basics</h4><ul><li>Scala Background Information</li><li>Key Scala Concepts</li><li>Programming in Scala</li></ul><h4>Variables</h4><ul><li>Scala Variables</li><li>Numerical</li><li>Boolean</li><li>String</li></ul><h4>Collections</h4><ul><li>Tuples</li><li>The Collections Hierarchy</li><li>Sets</li><li>Lists</li><li>Arrays</li><li>Maps</li><li>Common Conversions</li></ul><h4>Flow Control</h4><ul><li>Looping</li><li>Iterators</li><li>Functions</li><li>Passing Functions</li><li>Collection Iteration Methods</li><li>Pattern Matching</li></ul><h4>Libraries</h4><ul><li>Classes and Objects</li><li>Packages</li><li>Import</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Just Enough Scala training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Just Enough Scala course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Just Enough Scala

Data Processing

This is a comprehensive and practical Apache Spark course. In this course, you will learn and master the art of framing data analysis problems as Spark problems through 20+ hands-on examples, and then scale them up to run on cloud computing services. Explore Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

Apache Spark with Scala - Hands-On with Big Data!

<strong>This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.</strong>
        <p>Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at a massive scale. It has quickly become the largest open-source community in big data. So, mastering Apache Spark opens a wide range of professional opportunities.

This course starts with an introduction to Apache Spark where you see what Apache Spark is in brief. Then, you will be installing and using Apache Spark. After that, you will look at the Spark execution model and architecture in detail. Next, you will learn the Spark programming model and developer experience. Following that, you will look at the Spark Structured API foundation, and Spark data sources and sinks. Then, you will explore Spark Data frame and dataset transformations along with aggregations in Apache Spark. Finally, you will look at the Spark Data frame joins in detail.

By the end of this course, you will understand Spark programming and apply that knowledge to build data engineering solutions.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Spark-Programming-in-Scala-for-Beginners-with-Apache-Spark-3</p>
        <h2>What You Will Learn</h2><p>Learn Apache Spark and Spark architecture<br>Look at data engineering and data processing in Spark<br>Work with data sources and sinks<br>Work with data frames, datasets, and Spark SQL<br>Use IntelliJ IDEA for Spark development and debugging<br>Understand unit testing, managing application logs, and cluster deployment</p>
        <h2>Audience</h2><p>This course is designed for software engineers willing to develop a data engineering pipeline and application using Apache Spark. It is also for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. It will also be beneficial for the managers and architects who do not directly work with Spark implementation, and still, they work with the people who implement Apache Spark at the ground level.<br><br>Before proceeding with the course, you will need basic knowledge of the Scala programming language.</p>
        <h2>Approach</h2><p>This is a hands-on and well-balanced course with theoretical and practical content. The course is example-driven and follows a working session-like approach. The author will be taking a live coding approach and explaining all the concepts needed along the way. The section will have a summary video at the end to revise the learned concepts.</p>
        <h2>Key Features</h2><p>A comprehensive course designed for the beginner-level for Spark programming in Scala * Deep dive into Spark 3 architecture and data engineering * Complete tested source code and examples used on Apache Spark 3.0.0 open-source distribution from the author's end</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Spark-Programming-in-Scala-for-Beginners-with-Apache-Spark-3</p>
        <h2>About the Author</h2><h3>Scholar Nest</h3><p>ScholarNest is a small team of people passionate about helping others learn and grow in their careers by bridging the gap between their existing and required skills.

Together, they have over 40+ years of experience in IT as a developer, architect, consultant, trainer, and mentor. They have worked with international software services organizations on various data-centric and Big Data projects.

It is a team of firm believers in lifelong continuous learning and skill development. To popularize the importance of continuous learning, they started publishing free training videos on their YouTube channel. They conceptualized the notion of continuous learning, creating a journal of our learning under the Learning Journal banner.</p>
        <h2>Course Outline</h2><h4>1. Apache Spark Introduction</h4><p></p><br><h4>2. Installing and Using Apache Spark</h4><p></p><br><h4>3. Spark Execution Model and Architecture</h4><p></p><br><h4>4. Spark Programming Model and Developer Experience</h4><p></p><br><h4>5. Spark Structured API Foundation</h4><p></p><br><h4>6. Spark Data Sources and Sinks</h4><p></p><br><h4>7. Spark Dataframe and Dataset Transformations</h4><p></p><br><h4>8. Aggregations in Apache Spark</h4><p></p><br><h4>9. Spark Dataframe Joins</h4><p></p><br><h4>10. Keep Learning</h4><p></p>

Hadoop

This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.

Spark Programming in Scala for Beginners with Apache Spark 3

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala</h4><ul><li>Scala features and benefits</li><li>Comparing Scala with Java and other OO languages</li><li>Installing Scala and setting up the development environment</li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects</li><li>Traits, mixins, and inheritance</li><li>Companion objects and factories</li><li>Encapsulation and polymorphism</li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency</li><li>Higher-order functions and currying</li><li>Immutability and persistent data structures</li><li>Pattern matching and recursion</li></ul><h4>Having Fun with Functional Data Structures</h4><ul><li>Lists, sets, and maps in Scala</li><li>Folding and reducing operations</li><li>Stream processing and lazy evaluation For-comprehensions</li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework</li><li>Functional web routing and request handling</li><li>JSON handling with Play-JSON</li><li>Middleware and functional composition</li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library</li><li>Database configuration and setup</li><li>Querying and updating with Slick</li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components </h4><ul><li>Modular architecture and design patterns<br />Dependency injection with MacWire<br />Type classes and type-level programming<br />Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka</h4><ul><li>Introduction to Akka framework and Actor model</li><li>Actor systems and message passing</li><li>Futures and Promises</li><li>Supervision and fault tolerance</li><li></li></ul><h4>Building Confidence with Testing</h4><ul><li>Introduction to ScalaTest and ScalaCheck</li><li>Unit testing and property-based testing</li><li>Test-driven development in Scala</li><li>Mocking and integration testing</li><li></li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala</li><li>Using Java libraries in Scala projects</li><li>Converting Java collections to Scala collections</li><li>Writing Scala code that can be called from Java</li></ul><h4>Using Generative AI and GPT</h4><ul><li>Technologies in Scala Programming</li><li>Overview of GPT and generative AI</li><li>Integrating GPT with Scala applications</li><li>Use cases and practical examples</li></ul></div>

Programming Fundamentals

Programming Languages

Software Development

Fast Track to Scala Programming for OO / Java Developers (TTSCL2104)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala </h4><ul><li>Scala features and benefits </li><li>Comparing Scala with Java and other OO languages </li><li>Installing Scala and setting up the development environment </li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects </li><li>Traits, mixins, and inheritance </li><li>Companion objects and factories </li><li>Encapsulation and polymorphism </li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency </li><li>Higher-order functions and currying </li><li>Immutability and persistent data structures </li><li>Pattern matching and recursion </li></ul><h4>Having Fun with Functional Data Structures </h4><ul><li>Lists, sets, and maps in Scala </li><li>Folding and reducing operations </li><li>Stream processing and lazy evaluation </li><li>For-comprehensions </li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework </li><li>Functional web routing and request handling </li><li>JSON handling with Play-JSON Middleware and functional composition </li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library </li><li>Database configuration and setup </li><li>Querying and updating with Slick </li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components</h4><ul><li>Modular architecture and design patterns </li><li>Dependency injection with MacWire </li><li>Type classes and type-level programming </li><li>Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka </h4><ul><li>Introduction to Akka framework and Actor model </li><li>Actor systems and message passing </li><li>Futures and Promises </li><li>Supervision and fault tolerance </li></ul><h4>Building Confidence with Testing </h4><ul><li>Introduction to ScalaTest and ScalaCheck </li><li>Unit testing and property-based testing </li><li>Test-driven development in Scala </li><li>Mocking and integration testing</li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala </li><li>Using Java libraries in Scala projects </li><li>Converting Java collections to Scala collections </li><li>Writing Scala code that can be called from Java </li></ul><h4>Using Generative AI and GPT Technologies in Scala Programming</h4><ul><li>Overview of GPT and generative AI </li><li>Integrating GPT with Scala applications </li><li>Use cases and practical examples</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

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