<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>Technical decision makers<br />Network architects<br />Data center systems engineers<br />Field engineers</p>Overview<p>After taking this course, you should be able to:<br />Discover and describe the Cisco Multilayer Director Switch (MDS) platform of multilayer switches and directors<br />Provision Cisco MDS Switches<br />Describe key product features of the MDS platform<br />Describe and implement automation an Cisco MDS Switches<br />Configure and implement the Cisco MDS switches and platform features<br />Resolve issues and troubleshoot FC domains, zones and zone merges, and switch boot and firmware upgrades</p><p>The Configuring Cisco MDS 9000 Series Switches (DCMDS) v3.6 course teaches you to implement, manage, and troubleshoot CiscoÂ© MDS 9000 Series Switches to build highly available, scalable storage networks. Through expert instruction and extensive hands-on practice, you will learn how to deploy and utilize capabilities such as Virtual Storage Area Networks (VSANs), Role-Based Access Control (RBAC), N-Port Virtualization (NPV) fabric security, zoning, automation with NX-API, Slow Drain Analysis, SAN analytics, Fibre Channel over TCP/IP (FCIP) tunnels, and more. You will learn how to configure and implement platform features and learn troubleshooting techniques pertaining to Fibre Channel (FC) domains, firmware upgrades, zones, and zone mergers.This course helps you prepare to take the 300-625 Implementing Cisco Storage Area Networking (DCSAN) exam, which leads to CCNP Data Center and the Certified Specialist - Data Center SAN Implementation certifications.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Describing Cisco MDS Platform</li><li>Provisioning Cisco MDS Switches</li><li>Building the Fibre Channel Fabric with Cisco MDS Switches</li><li>Automating Cisco MDS Fabric</li><li>Monitoring and Reporting Cisco MDS Features</li><li>Troubleshooting Common Cisco MDS Issues</li></ul></div>

Nexus Human

Cisco Certified Network Associate (CCNA)

Cisco Certified Network Professional certification (CCNP)

Service Design Courses (SDC)

Diploma in Management Studies (DMS)

Cisco Certified Internetwork Expert (CCIE)

Cisco Configuring Cisco MDS 9000 Series Switches v3.6 (DCMDS)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>Network engineers, technical support personnel, reseller support engineers, and others responsible for implementing and/or maintaining the Juniper Networks products covered in this course.</p>Overview<p>Describe typical uses of static, aggregate, and generated routes. Configure and monitor static, aggregate, and generated routes. Explain the purpose of Martian routes and add new entries to the default list.</p><p>This two-day course provides students with intermediate routing knowledge and configuration examples. The course includes an overview of protocol independent routing feature.</p></div><div id="course-pills-2"><h4>Chapter 1: Course Introduction</h4><ul><li>Course Introduction</li></ul><h4>Chapter 2: Protocol-Independent Routing</h4><ul><li>Static Routes</li><li>Aggregated Routes</li><li>Generated Routes</li><li>Martian Addresses</li><li>Routing Instances</li></ul><h4>Chapter 3: Load Balancing and Filter-Based Forwarding</h4><ul><li>Overview of Load Balancing</li><li>Configuring and Monitoring Load Balancing</li><li>Overview of Filter-Based Forwarding</li><li>Configuring and Monitoring Filter-Based Forwarding</li></ul><h4>Chapter 4: Open Shortest Path First</h4><ul><li>Overview of OSPF</li><li>Adjacency Formation and the Designated Router Election</li><li>OSPF Scalability</li><li>Configuring and Monitoring OSPF</li><li>Basic OSPF Troubleshooting</li></ul><h4>Chapter 5: Border Gateway Protocol</h4><ul><li>Overview of BGP</li><li>BGP Attributes</li><li>IBGP Versus EBGP</li><li>Configuring and Monitoring BGP</li></ul><h4>Chapter 6: IP Tunneling</h4><ul><li>Overview of IP Tunneling</li><li>GRE and IP-IP Tunnels</li><li>Implementing GRE and IP-IP Tunnels</li></ul><h4>Chapter 7: High Availability</h4><ul><li>Overview of High Availability Networks</li><li>GR</li><li>Graceful RE Switchover</li><li>Nonstop Active Routing</li><li>BFD</li><li>VRRP</li><li>Appendix A</li></ul></div>

Juniper

Cisco Certified Entry Networking Technician (CCENT)

IT Networking Fundamentals

Computer Networking

JIR - Junos Intermediate Routing

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Network Video Operator and Administrator<br />Voice / UC / Collaboration / Communications Engineer<br />Collaboration Tools Engineer<br />Collaboration Sales / Systems Engineer</p>Overview<p>Upon completing this course, the learner will be able to meet these overall objectives:<br />Install, configure, maintain, and troubleshoot Cisco visual collaboration solutions.<br />This course assists the student in preparing for the Cisco TelePresence Video Specialist Certification.</p><p>Upon completing this course, the learner will be able to meet these overall objectives</p></div><div id="course-pills-2"><h4>Module 1: Advanced Cisco Expressway Features</h4><ul><li>Introducing Cisco video network solutions</li><li>Exploring Cisco Expressway basic setup</li><li>Explaining regular expressions in a Cisco Expressway environment</li><li>Deploying components of Cisco Expressway Security</li><li>Exploring the fundamentals of subzonesÃ¿</li><li>Administering call control</li><li>Implementing subzone bandwidth management</li><li>Implementing zones</li><li>Exploring clustering</li><li>Applying troubleshooting</li></ul><h4>Module 2: Advanced Cisco Meeting Server Features</h4><ul><li>Introducing the Cisco meeting server</li><li>Exploring API configuration</li><li>Exploring resilient and scalable deployments</li><li>Additional features</li></ul><h4>Module 3: Cisco Collaboration Meeting Room Solutions with Cisco TelePresence Server</h4><ul><li>Introducing Collaboration Meeting Room cloud, premises, and hybrid products</li><li>Deploying the TelePresence Server and TelePresence conductor</li><li>Applying troubleshooting to Cisco CMR Premises Solutions</li></ul><h4>Module 4: Cisco TelePresence Management Suite (TMS) Solution</h4><ul><li>Explaining Cisco TMS Installation</li><li>Describing TMS operation</li><li>Explaining TMS conference scheduling and management</li><li>Configuring permissions</li><li>Applying troubleshooting</li></ul><h4>Module 5: Cisco Cloud Solutions - WebEx and Spark</h4><ul><li>Introducing WebEx and Spark cloud solutions</li><li>Exploring Spark administration configuration</li><li>Deploying Spark hybrid services</li><li>Exploring Spark APIs and BOTs configuration</li></ul><h4>Module 6: Cisco TelePresence Content Server (Optional Module)</h4><ul><li>Examining Cisco TCS operation and configuration</li></ul></div>

Certified Technology Specialist (CTS)

CompTIA Network+

IT Certifications

Cisco Video Infrastructure Implementation VII

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Network professionals, including systems engineers<br />Channel Partners<br />Customers</p>Overview<p>After taking this course, you should be able to:<br />Describe IP multicast services<br />Identify IP multicast issues on a data link layer<br />Explain why Protocol Independent Multicast Sparse Mode (PIM-SM) is the most current scalable IP multicast routing protocol<br />Describe Rendezvous Point (RP) distribution solutions<br />Recognize the drawbacks of the PIM-SM and describe two extensions to provide possible solutions<br />Explain basic concepts of Multiprotocol BGP (MP-BGP) and its use in the IP multicast environment<br />Configure and deploy Multicast Source Discovery Protocol (MSDP) in the interdomain environment<br />Describe solutions to mitigate security issues in the IP multicast network<br />Describe the process of monitoring and maintaining multicast high-availability operations<br />Design multicast-related application and network solutions in customer and service provider networks</p><p>The Implementing Cisco Multicast (MCAST) v2.0 course teaches you the fundamentals of IP multicasting, including multicast applications, sources, receivers, group management, and IP multicast routing protocols such as Protocol Independent Multicast (PIM) used within a single administrative domain. You will learn about issues in switched LAN environments and reliable IP multicasting, and technical solutions for simple deployments of IP multicast within a provider or customer network. The course reviews the configuration and troubleshooting guidelines for implementation of IP multicast on CiscoÂ© routers. Labs offer hands-on experience to help you prepare to deploy IP multicast successfully.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Module 1: IP Multicast Concepts and Technologies</li><li>Module 2: Multicast on the LAN</li><li>Module 3: PIM Sparse Mode</li><li>Module 4: Rendezvous Point Engineering</li><li>Module 5: PIM Sparse Mode Protocol Extensions</li><li>Module 6: Multiprotocol Extensions for BGP</li><li>Module 7: Interdomain IP Multicast</li><li>Module 8: IP Multicast Security</li><li>Module 9: Multicast Optimization and High-Availability Features</li><li>Module 10: Applications of Multicast</li></ul></div>

Certificate in Information Security Management Principles (CISMP)

Commercial & Contract Management Certification Program (CCM)

Cisco Implementing Cisco Multicast v2.0 (MCAST)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This in an Introductory and beyond level course is geared for experienced Java developers seeking to be proficient in Apache Kafka.  Attendees should be experienced developers who are comfortable with Java, and have reasonable experience working with databases.</p>Overview<p>Working in a hands-on learning environment, students will explore<br />Overview of Streaming technologies<br />Kafka concepts and architecture<br />Programming using Kafka API<br />Kafka Streams<br />Monitoring Kafka<br />Tuning / Troubleshooting Kafka</p><p>Apache Kafka is a real-time data pipeline processor. It high-scalability, fault tolerance, execution speed, and fluid integrations are some of the key hallmarks that make it an integral part of many Enterprise Data architectures.  In this lab intensive two day course, students will learn how to use Kafka to build streaming solutions.</p></div><div id="course-pills-2"><h4>Introduction to Streaming Systems</h4><ul><li>Fast data</li><li>Streaming architecture</li><li>Lambda architecture</li><li>Message queues</li><li>Streaming processors</li></ul><h4>Introduction to Kafka</h4><ul><li>Architecture</li><li>Comparing Kafka with other queue systems (JMS / MQ)</li><li>Kaka concepts : Messages, Topics, Partitions, Brokers, Producers, commit logs</li><li>Kafka &amp; Zookeeper</li><li>Producing messages</li><li>Consuming messages (Consumers, Consumer Groups)</li><li>Message retention</li><li>Scaling Kafka</li></ul><h4>Programming With Kafka</h4><ul><li>Configuration parameters</li><li>Producer API (Sending messages to Kafka)</li><li>Consumer API (consuming messages from Kafka)</li><li>Commits , Offsets, Seeking</li><li>Schema with Avro</li></ul><h4>Kafka Streams</h4><ul><li>Streams overview and architecture</li><li>Streams use cases and comparison with other platforms</li><li>Learning Kafka Streaming concepts (KStream, KTable, KStore)</li><li>KStreaming operations (transformations, filters, joins, aggregations)</li></ul><h4>Administering Kafka</h4><ul><li>Hardware / Software requirements</li><li>Deploying Kafka</li><li>Configuration of brokers / topics / partitions / producers / consumers</li><li>Security: How secure Kafka cluster, and secure client communications (SASL, Kerberos)</li><li>Monitoring : monitoring tools</li><li>Capacity Planning : estimating usage and demand</li><li>Trouble shooting : failure scenarios and recovery</li></ul><h4>Monitoring and Instrumenting Kafka</h4><ul><li>Monitoring Kafka</li><li>Instrumenting with Metrics library</li><li>Instrument Kafka applications and monitor their performance</li></ul></div>

Apache Kafka

Kafka

Working with Apache Kafka (for Developers) (TTDS6760)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>A Dynamics 365 Business Central core Functional Consultant is responsible for implementing core application setup processes for small and medium businesses.</p>Overview<p>Understand use cases for Business Central modules<br />Set up Business Central<br />Configure Financials<br />Configure Sales and Purchasing<br />Configure Operations<br />Understand Integrationa nd Automation scenarios</p><p>Built and optimized for small and medium businesses, Dynamics 365 Business Central is an application for companies that have outgrown their entry-level business applications. Growing businesses often outgrow their basic accounting software or legacy enterprise resource planning (ERP) systems that are unable to handle increased inventory and transactions, lack integration with other line-of-business systems, and have reporting limitations. Businesses are also challenged with the logistics of providing services that have more scalability, increased mobility, and availability in the cloud. With Business Central, you can manage your financials, automate and secure your supply chain, sell smarter, improve customer service and project performance, and optimize your operations.</p></div><div id="course-pills-2"><h4>Introduction to Business Central Modules</h4><ul><li>Introduction to Business Central</li><li>Technology overview</li><li>Navigate the user interface</li><li>Master data for the Sales and Purchase process</li></ul><h4>Application Setup</h4><ul><li>Create and configure a new company</li><li>Migrate data to Business Central</li><li>Manage Security</li><li>Set up core app functionality</li><li>Set up dimensions</li></ul><h4>Configure Financials</h4><ul><li>Set up Finance Management</li><li>Set up the Chart of Accounts</li><li>Set up posting groups</li><li>General Journals</li><li>Set up Cash Management</li><li>Set up Accounts Payables</li><li>Set up Accounts Receivables</li></ul><h4>Configure Sales and Purchasing</h4><ul><li>Set up Inventory</li><li>Configure prices and discounts</li></ul><h4>Operations</h4><ul><li>Purchase items</li><li>Sell items</li><li>Process financial transactions</li><li>Inventory costing</li></ul><h4>Integration and Automation</h4><ul><li>Set up and use approvals with workflows</li><li>Connect Power Apps</li><li>Connect Power Automate</li><li>Connect Power BI</li></ul></div>

Microsoft BI

Microsoft AZ-303

Microsoft AZ-700

Microsoft Dynamics

Business Admin

Business Data Analysis

MB-800T00 Microsoft Dynamics 365 Business Central Functional Consultant

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Data center systems engineers<br />Field engineers<br />Architects<br />Cisco partners using Cisco Nexus Series switch platforms</p>Overview<p>After taking this course, you should be able to:<br />Describe the platforms that make the Cisco Nexus 9000, 7000, 3000, and 2000 product families<br />Describe Cisco Nexus platform implementations<br />Explain Cisco Nexus platform management<br />Describe Port Channels and Virtual Port Channels<br />Configure First Hop Redundancy protocols<br />Configure security features of Cisco Nexus devices<br />Describe the Cisco Nexus devices routing and forwarding<br />Describe Virtual Extensible LAN (VXLAN)<br />Describe Quality of Service (QoS) on Cisco Nexus Devices<br />Explain system management and monitoring processes<br />Describe Cisco NX-OS programmability<br />Describe Cisco Nexus storage services<br />Configure device aliases and zoning<br />Configure FCoE<br />Configure NPIV and NPV modes</p><p>The Implementing Cisco NX-OS Switches and Fabrics in the Data Center (DCNX) v1.0 course gives you a detailed understanding of the CiscoNexus switch platform and teach you how to install, configure, and manage Cisco Nexusswitch platforms in a scalable, highly available environment. Through a combination of lectures and hands-on labs, you will learn how to describe various aspects of the Cisco Nexus product families and platforms, including implementation, management, security, programmability and storage. Additionally, you will learn how to configure device aliases and zoning, Fibre Channel over Ethernet (FCoE), and N-Port Identifier Virtualization (NPIV), and N-Port Virtualization (NPV) modes.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Describing Cisco Nexus Series Switches</li><li>Describing Cisco Nexus Platforms Implementation</li><li>Describing Cisco Nexus Platforms Management</li><li>Describing Port Channels and Virtual Port Channels</li><li>Configuring First Hop Redundancy Protocols</li><li>Configuring Cisco Nexus Security Features</li><li>Describing Cisco NX-OS Routing and Forwarding</li><li>Describing Virtual Extensible LAN</li><li>Describing QoS on Cisco Nexus Devices</li><li>Configuring System Management and Monitoring</li><li>Describing Cisco NX-OS Programmability</li><li>Describing Cisco Nexus Storage Services</li><li>Configuring Fibre Channel Over Ethernet</li><li>Describing Device Aliases and Zoning</li><li>Configuring NPIV and NPV Modes</li></ul></div>

Implementing Cisco NX-OS Switches and Fabrics in the Data Center (DCNX)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>Built for experienced IT Professionalsworking with Citrix Virtual Appsand Desktops who need to plan for,implement, or manage a ProvisioningServices environment. Potential studentsinclude administrators, engineers, andarchitects.</p>Overview<p>#NAME?</p><p>In this course, students will learn to install and configure a highly available Citrix Provisioning farm according to leading practices. In this course, students will learn about the architecture, communication, and processes that make up Citrix Provisioning to be successful with deploying and managing a farm. Manage and integrate vDisks and target devices with Citrix Virtual Apps and Desktops for easy rollback, upgrades, and performance of Virtual Delivery Agent machines. At the end of this course students will be able to install, configure and manage the CitrixProvisioning 7 solution.</p></div><div id="course-pills-2"><h4>Advanced Provisioning</h4><ul><li>Learning Objectives</li><li>Introduction to Citrix Provisioning (PVS)</li><li>Getting Started with Citrix Provisioning</li><li>Citrix Provisioning Architecture</li></ul><h4>Citrix Provisioning Infrastructure</h4><ul><li>Lab VM Power Management</li><li>Learning Objectives</li><li>The Citrix Provisioning Server</li><li>The Farm Database</li><li>The Store</li></ul><h4>Streaming the vDisk</h4><ul><li>Lab VM Power Management</li><li>Learning Objectives</li><li>vDisk Introduction</li><li>Master Target Device Preparation</li><li>Streaming Introduction</li><li>Boot Methods</li></ul><h4>Target Devices</h4><ul><li>Lab VM Power Management</li><li>Learning Objectives</li><li>Target Devices Introduction</li><li>Reads and Writes</li><li>Machine and User Data</li></ul><h4>Integrating Citrix Provisioning with Citrix Virtual Apps and Desktops</h4><ul><li>Lab VM Power Management</li><li>Learning Objectives</li><li>The Complete Architecture Overview</li><li>The Citrix Virtual Desktops Setup Wizard</li><li>Manage the Target Devices through Creating</li><li>Device Collections</li><li>Using Provisioned Services with Citrix Virtual</li><li>Apps and Desktops</li><li>Managing Citrix Provisioning from Citrix Cloud</li></ul><h4>Advanced Architecture</h4><ul><li>Lab VM Power Management</li><li>Learning Objectives</li><li>Farm Component Scalability</li><li>Store Redundancy</li><li>Farm Database Redundancy</li></ul><h4>Supporting Citrix Provisioning</h4><ul><li>Lab VM Power Management</li><li>Learning Objectives</li><li>vDisk Updates</li><li>Delegate Administration</li><li>Audit and Support</li><li>Alternative vDisk Update Methods</li></ul></div>

AWS Certified Cloud Practitioner

Citrix

CWS-316 Citrix Provisioning 7 Administration

<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 application administrators, developers, IT leaders, and application architects.</p>Overview<p>As a result of attending this course, students should be able to configure, secure, and manage a Red Hat JBoss AMQ 7.0 broker to create and integrate message-driven applications.</p><p>Red HatÂ© AMQ Administration (AD440) helps system administrators, architects, and developers acquire the skills they need to administer the message broker, Red Hat JBoss AMQ. Through numerous hands-on exercises, the student will create, configure, manage, and monitor broker instances including hardened, clustered brokers that provide high availability and failover.<br />This course is based on Red Hat JBoss AMQ 7.0. Red Hat JBoss AMQ, part of the Red Hat application integration suite, provides application administrators, software architects, and developers the ability to integrate disparate applications in a decoupled manner using enterprise messaging paradigms. Providing a highly performant and robust message broker, router, and client libraries for numerous languages, Red Hat JBoss AMQ is the solution for asynchronous and synchronous messaging. Red Hat AMQ Administration (AD440) helps system administrators, architects, and developers acquire the skills they need to administer Red Hat JBoss AMQ. Through numerous hands-on exercises, the student will create, configure, manage, and monitor broker instances including hardened, clustered brokers that provide high availability and failover.</p></div><div id="course-pills-2"><h4>Course introduction</h4><ul><li>Introduce and review the course.</li></ul><h4>Install the broker</h4><ul><li>Install JBoss AMQ, create a broker instance, and verify connectivity to the instance.</li></ul><h4>Configuration</h4><ul><li>Configure message addresses and queues.</li></ul><h4>Secure access to the broker</h4><ul><li>Configure authentication, authorization, and encryption on the broker.</li></ul><h4>Configure broker persistence</h4><ul><li>Configure zero, file-based, and database-backed persistence.</li></ul><h4>Manage broker resource consumption</h4><ul><li>Configure the broker to limit memory and other resource consumption.</li></ul><h4>Implement broker clustering, high availability, and failover</h4><ul><li>Create a scalable and highly available cluster of brokers.</li></ul><h4>Monitor and manage the broker</h4><ul><li>Monitor and manage broker resources using logging and the web console.</li></ul><h4>Route messages to brokers</h4><ul><li>Install JBoss AMQ interconnect and configure routes to brokers.</li></ul><h4>Comprehensive review of Red Hat AMQ administration</h4><ul><li>Configure Red Hat JBoss AMQ brokers and verify proper operation.</li></ul></div>

IBM MQ

Red Hat JBoss AMQ Administration (AD440)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Software Engineers and DevOps professionals working in an Enterprise developing mission critical line of business applications.</p>Overview<p>By the end of this course, students will be able to:<br />Assess the advantages of a containerized software development &amp; deployment<br />Use Docker engine features necessary for running containerized applications<br />Utilize Swarm and Kubernetes orchestrators to deploy, maintain, and scale a distributed application<br />Describe the essential patterns used in a highly distributed EE application<br />Understand how to configure EE applications for different environments without code changes<br />Produce and containerize scalable, accessible, and fault-tolerant EE applications<br />Apply different debugging and testing techniques to containerized EE applications</p><p>The Docker Fundamentals + Enterprise Operations Bundle includes the full Docker for Enterprise Operations course as well as the prerequisite Docker Fundamentals course run back to back in a single intensive training experience. The Docker Fundamentals training course features the foundational concepts and practices of containerization on a single Docker node. The course offers learners the opportunity to assimilate basic container orchestration and how to scale Docker across multiple nodes in a simple swarm cluster. This course provides essential foundational knowledge for subsequent Docker courses. As the follow-on to the Docker Fundamentals course, Docker for Enterprise Operations is a role-based course is designed for Docker Operations teams to accelerate their Docker journey in the enterprise. The course covers in-depth core advanced features of Docker EE and best practices to apply these features at scale with enterprise workloads. Platform Availability: Linux, Windows (Fundamentals Only).</p></div><div id="course-pills-2"><h4></h4><ul><li>Introducing Docker</li><li>Containerization Fundamentals</li><li>Creating Images</li><li>Docker Volumes</li></ul><h4></h4><ul><li>Docker Networking Basics</li><li>Introduction to Docker Compose</li><li>Introduction to Swarm Mode</li><li>Introduction to Kubernetes</li><li>Secrets</li><li>Fundamentals Signature Assignment</li></ul><h4></h4><ul><li>Distributed Application Architecture</li><li>Sample Application</li><li>Edit and Continue</li><li>Debugging</li><li>Docker Compose</li><li>Testing</li><li>Service Discovery</li><li>Defensive Programming</li><li>Logging and Error Handling</li></ul><h4></h4><ul><li>Health Checks</li><li>Secrets</li><li>Configuration Management</li><li>Development Pipeline Overview</li><li>Universal Control Plane</li><li>Docker Trusted Registry</li><li>Repository Automation</li><li>Build Server</li></ul></div>

Docker

Software Containerization

Docker Fundamentals  Plus Enterprise Operations Bundle

<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

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

Teaching & Training

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>

376 Scala courses

Cisco Configuring Cisco MDS 9000 Series Switches v3.6 (DCMDS)

By Nexus Human

JIR - Junos Intermediate Routing

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Cisco Video Infrastructure Implementation VII

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