<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>Experienced system administrators, system engineers, and system integrators.</p>Overview<p>Configure and manage VMware ESXi? networking and storage for a large and sophisticated enterprise<br />Use VMware vSphereÂ© Client?, VMware vSphereÂ© Web Client, and VMware vSphereÂ© ESXi? Shell to manage vSphere<br />Use VMware vSphereÂ© Auto Deploy? and host profiles to provision ESXi hosts<br />Optimize the performance of all vSphere components<br />Use VMware vRealizeÂ© Log Insight? to monitor system logs<br />Deploy VMware vCenterÂ© Server Appliance? to be highly available and optimized for performance<br />Migrate a Windows vCenter Server system to vCenter Server Appliance 6.5<br />Harden the vSphere environment against security threats<br />Encrypt virtual machines for additional security</p><p>This advanced course provides students with advanced knowledge of configuring and operating a highly available and scalable virtual infrastructure.</p></div><div id="course-pills-2"><h4>Course Introduction</h4><ul><li>Introductions and course logistics</li><li>Course objectives</li><li>Identify additional resources for after this course</li><li>Identify other VMware Education offerings</li><li>Describe the user interfaces available in vSphere 6.5</li></ul><h4>Network Scalability</h4><ul><li>Configure and manage vSphere distributed switches</li><li>Explain distributed switch features such as port mirroring, LACP, QoS tagging, and NetFlow</li></ul><h4>Storage Scalability</h4><ul><li>Explain VMware vSphereÂ© Storage APIs - Array Integration and VMware vSphereÂ© API for Storage Awareness?</li><li>Configure and assign virtual machine storage policies</li><li>Configure VMware vSphereÂ© Storage DRS? and VMware vSphereÂ© Storage I/O Control</li><li>Create and use virtual volumes in vSphere</li></ul><h4>Host and Management Scalability</h4><ul><li>Explain the uses of VMware vCenterÂ© Converter?</li><li>Define and use content libraries</li><li>Describe and use host profiles</li><li>Describe and use VMware vSphereÂ© ESXi? Image Builder CLI and vSphere Auto Deploy</li></ul><h4>CPU Optimization</h4><ul><li>Explain the CPU scheduler operation, NUMA support, and other features that affect CPU performance</li><li>Use esxtop to monitor key CPU performance metrics</li></ul><h4>Memory Optimization</h4><ul><li>Explain ballooning, memory compression, and host-swapping techniques for memory reclamation when memory is overcommitted</li><li>Use esxtop to monitor key memory performance metrics</li></ul><h4>Storage Optimization</h4><ul><li>Describe storage queue types and other factors that affect storage performance</li><li>Use esxtop to monitor key storage performance metrics</li><li>8 Network Optimization</li></ul><h4>Network Optimization</h4><ul><li>Explain the performance features of network adapters</li><li>Explain the performance features of vSphere networking</li><li>Use esxtop to monitor key network performance metrics</li></ul><h4>Analyzing vSphere</h4><ul><li>Explain how Proactive DRS enhances virtual machine availability</li><li>Use vRealize Log Insight to identify and troubleshoot issues</li></ul><h4>vCenter Server Availability and Performance</h4><ul><li>Describe the high availability options for vCenter Server and VMware Platform Services Controller?</li><li>Describe and use VMware vCenter ServerÂ© High Availability</li><li>Identify the factors that influence vCenter Server performance</li><li>Migrate a Windows vCenter Server 5.5 system to vCenter Server Appliance 6.5</li></ul><h4>vSphere Security</h4><ul><li>Configure ESXi host access and authorization</li><li>Secure ESXi, vCenter Server, and virtual machines</li><li>Use VMware Certificate Authority to configure vSphere certificate management</li><li>Configure vSphere to encrypt virtual machines, core dumps</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br />Notes<p>Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC)</p><p>Nexus Humans VMware vSphere 6.5 Optimize and Upgrade 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 VMware vSphere 6.5 Optimize and Upgrade 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

VMware Vsphere

vSphere

Microsoft Virtual Academy (MVA)

VMware vSphere 6.5 Optimize and Upgrade

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This intermediate course is for experienced SQL end users, application programmers, database administrators, and user support staff who need more advanced knowledge of SQL.</p>Overview<p>Discuss basic relational database concepts Use some of the OLAP features of DB2, such as GROUPing and RANKing functions Create tables, views and indexes Use referential integrity, check constraints and triggers Use outer joins, and join tables to themselves Use CASE expressions, and the CAST function Identify the impact of Summary Tables, Materialized Query Tables, and temporary tables Use complex subqueries Use a greater number of scalar SQL functions Use advanced SQL constructs, such as recursive SQL and table expressions Define User-Defined Distinct Types and User-Defined Functions Avoid several of the most common causes for poorly-performing SQL</p><p>This course teaches you how to make use of advanced SQL techniques to access DB2 databases in different environments. This course is appropriate for customers working in all DB2 environments, specifically for z/OS, Linux, UNIX, and Windows.</p></div><div id="course-pills-2"><h4>Introduction</h4><ul><li>Identify the purpose of the clauses in the SELECT statement </li><li>Describe the key differences among the IBM DB2 platforms </li><li>Describe and use some of the OLAP features of DB2, such as GROUPING functions like CUBE and ROLLUP, and the RANK, DENSE_RANK and ROW_NUMBER functions </li></ul><h4>Create Objects </h4><ul><li>Code statements to: Create tables and views, Alter tables, Create indexes, Implement referential integrity (RI), and Define triggers and check constraints </li><li>Identify impacts and advantages of referential integrity, including impacts of delete rules </li><li>Identify considerations when using triggers and check constraints </li><li>Define and make use of INSTEAD OF triggers </li></ul><h4>Join </h4><ul><li>Retrieve data from more than one table via inner and outer joins </li><li>Use outer joins (LEFT, RIGHT, FULL) </li><li>Use ANTI JOINS </li><li>Join a table to itself </li><li>Use UNION and UNION ALL </li><li>Use EXCEPT and INTERCEPT </li></ul><h4>CASE, CAST, Summary Tables, and Materialized Query Tables</h4><ul><li>Identify when CASE expressions can be used </li><li>Code CASE expressions in SELECT list and in the WHERE clause </li><li>Identify when CAST specifications can be used </li><li>Identify the advantages of using Summary (Materialized Query) Tables and Temporary tables </li><li>Identify the advantages of using Materialized Query Tables (MQTs) Identify when and how to use Temporary tables</li></ul><h4>Using Subqueries </h4><ul><li>Code subqueries using the ALL, ANY/SOME, and EXISTS keywords </li><li>Code correlated subqueries </li><li>Choose the proper type of subquery to use in each case</li></ul><h4>Scalar Functions</h4><ul><li>Extend your knowledge of scalar functions which: Manipulate arithmetic data, Manipulate date values, and Manipulate character data </li><li>Examples of scalar functions that are addressed in this course: SUBSTR </li><li>POSSTR </li><li>COALESCE/VALUE </li><li>DECIMAL </li><li>ROUND </li><li>DIGITS </li><li>CHAR </li><li>DATE/TIME </li></ul><h4>Table Expressions and Recursive SQL</h4><ul><li>Identify reasons for using table expressions and recursive SQL </li><li>Use nested and common table expressions </li><li>Identify the difference between views and table expressions </li><li>Code recursive SQL </li><li>Control the depth of recursion when coding recursive SQL </li></ul><h4>UDTs/UDFs and Performance </h4><ul><li>Describe the concepts behind User-Defined Types, User-Defined Functions and Stored Procedures </li><li>Predict when queries will use indexes to get better performance </li><li>Identify concepts of predicate processing </li><li>State introductory concepts about index structure </li><li>State general best practices advice</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans CE131 IBM DB2 SQL Workshop for Experienced Users 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 CE131 IBM DB2 SQL Workshop for Experienced Users 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>

Computing Skills

AWS Certified Database

Oracle 1Z0-819

Trainers Course

CE131 IBM DB2 SQL Workshop for Experienced Users

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>The target audience for the SRE Practitioner course are professionals including:<br />Anyone focused on large-scale service scalability and reliability<br />Anyone interested in modern IT leadership and organizational change approaches<br />Business Managers<br />Business Stakeholders<br />Change Agents<br />Consultants<br />DevOps Practitioners<br />IT Directors<br />IT Managers<br />IT Team Leaders<br />Product Owners<br />Scrum Masters<br />Software Engineers<br />Site Reliability Engineers<br />System Integrators<br />Tool Providers</p>Overview<p>After completing this course, students will have learned:<br />Practical view of how to successfully implement a flourishing SRE culture in your organization.<br />The underlying principles of SRE and an understanding of what it is not in terms of anti-patterns, and how you become aware of them to avoid them.<br />The organizational impact of introducing SRE.<br />Acing the art of SLIs and SLOs in a distributed ecosystem and extending the usage of Error Budgets beyond the normal to innovate and avoid risks.<br />Building security and resilience by design in a distributed, zero-trust environment.<br />How do you implement full stack observability, distributed tracing and bring about an Observability-driven development culture?<br />Curating data using AI to move from reactive to proactive and predictive incident management. Also, how you use DataOps to build clean data lineage.<br />Why is Platform Engineering so important in building consistency and predictability of SRE culture?<br />Implementing practical Chaos Engineering.<br />Major incident response responsibilities for a SRE based on incident command framework, and examples of anatomy of unmanaged incidents.<br />Perspective of why SRE can be considered as the purest implementation of DevOps<br />SRE Execution model<br />Understanding the SRE role and understanding why reliability is everyone's problem.<br />SRE success story learnings</p><p>This course introduces a range of practices for advancing service reliability engineering through a mixture of automation, organizational ways of working and business alignment. Tailored for those focused on large-scale service scalability and reliability.</p></div><div id="course-pills-2"><h4>SRE Anti-patterns</h4><ul><li>Rebranding Ops or DevOps or Dev as SRE</li><li>Users notice an issue before you do</li><li>Measuring until my Edge</li><li>False positives are worse than no alerts</li><li>Configuration management trap for snowflakes</li><li>The Dogpile: Mob incident response</li><li>Point fixing</li><li>Production Readiness Gatekeeper</li><li>Fail-Safe really?</li></ul><h4>SLO is a Proxy for Customer Happiness</h4><ul><li>Define SLIs that meaningfully measure the reliability of a service from a user?s perspective</li><li>Defining System boundaries in a distributed ecosystem for defining correct SLIs</li><li>Use error budgets to help your team have better discussions and make better data-driven decisions</li><li>Overall, Reliability is only as good as the weakest link on your service graph</li><li>Error thresholds when 3rd party services are used</li></ul><h4>Building Secure and Reliable Systems</h4><ul><li>SRE and their role in Building Secure and Reliable systems</li><li>Design for Changing Architecture</li><li>Fault tolerant Design</li><li>Design for Security</li><li>Design for Resiliency</li><li>Design for Scalability</li><li>Design for Performance</li><li>Design for Reliability</li><li>Ensuring Data Security and Privacy</li></ul><h4>Full-Stack Observability</h4><ul><li>Modern Apps are Complex &amp; Unpredictable</li><li>Slow is the new down</li><li>Pillars of Observability</li><li>Implementing Synthetic and End user monitoring</li><li>Observability driven development</li><li>Distributed Tracing</li><li>What happens to Monitoring?</li><li>Instrumenting using Libraries an Agents</li></ul><h4>Platform Engineering and AIOPs</h4><ul><li>Taking a Platform Centric View solves Organizational scalability challenges such as fragmentation, inconsistency and unpredictability.</li><li>How do you use AIOps to improve Resiliency</li><li>How can DataOps help you in the journey</li><li>A simple recipe to implement AIOps</li><li>Indicative measurement of AIOps</li></ul><h4>SRE &amp; Incident Response Management</h4><ul><li>SRE Key Responsibilities towards incident response</li><li>DevOps &amp; SRE and ITIL</li><li>OODA and SRE Incident Response</li><li>Closed Loop Remediation and the Advantages</li><li>Swarming ? Food for Thought</li><li>AI/ML for better incident management</li></ul><h4>Chaos Engineering</h4><ul><li>Navigating Complexity</li><li>Chaos Engineering Defined</li><li>Quick Facts about Chaos Engineering</li><li>Chaos Monkey Origin Story</li><li>Who is adopting Chaos Engineering</li><li>Myths of Chaos</li><li>Chaos Engineering Experiments</li><li>GameDay Exercises</li><li>Security Chaos Engineering</li><li>Chaos Engineering Resources</li></ul><h4>SRE is the Purest form of DevOps</h4><ul><li>Key Principles of SRE</li><li>SREs help increase Reliability across the product spectrum</li><li>Metrics for Success</li><li>Selection of Target areas</li><li>SRE Execution Model</li><li>Culture and Behavioral Skills are key</li><li>SRE Case study</li></ul><h4>Post-class assignments/exercises</h4><ul><li>Non-abstract Large Scale Design (after Day 1)</li><li>Engineering Instrumentation- Instrumenting Gremlin (after Day 2)</li></ul></div>

DevOps

Certified SAFe Agilist

Service Design Courses (SDC)

SIA Training

INCOSE Systems Engineering Professional Certification

Site Reliability Engineering (SRE) Practitioner (DevOps Institute)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Red Hat Certified System Administrator (RHCSA) who wants to learn how to provision and configure IdM technologies across both Linux and Windows applications<br />Identity management specialist or engineer<br />Access management specialist or engineer<br />Web application developer<br />DevOps specialist</p>Overview<p>As a result of attending this course, you will gain an understanding of the architecture of an identity management realm and trusted relationships using both Red Hat Enterprise Linux Identity Management and Microsoft Active Directory. You will be able to create, manage, and troubleshoot user management structures, security policies, local and remote secure access methods, and implementation technologies such as Kerberos, PKI, and certificates.<br />You should be able to demonstrate these skills:<br />Create and manage a scalable, resilient Identity Management realm, including both Linux and Microsoft Windows clients and servers.<br />Create and manage secure access configurations, including managing and troubleshooting Kerberos, certificate servers, and access control policies.<br />Integrate IdM as the back end for other major enterprise tools in the Red Hat portfolio, including Satellite Server and Tower.</p><p>This course will empower you with the skills to configure and manage IdM, the comprehensive Identity Management solution bundled with Red HatÂ© Enterprise Linux.You will master these skills on the most requested Red Hat Identity Management (IdM) capabilities, including Active Directory trusts, multi-product federation, configuration management with Ansible, integrated certificate management, single sign-on, one-time passwords, and cybersecurity policy conformance. This course covers the same material as RH362, but includes the Red Hat Certified Specialist in Identity Management exam (EX362).</p></div><div id="course-pills-2"><h4>Install Red Hat Identity Management</h4><ul><li>Describe and install Red Hat Identity Management (IdM).</li></ul><h4>Centralize Identity Management</h4><ul><li>Explain the IdM server services, explore IdM clients access methods, and install an IdM client.</li></ul><h4>Authenticate identities with Kerberos</h4><ul><li>Define the Kerberos protocol and configure services for Kerberos authentication.</li></ul><h4>Integrate IdM with Active Directory</h4><ul><li>Create a trust relationship with Active Directory.</li></ul><h4>Control user access</h4><ul><li>Configure users for authorized access to services and resources.</li></ul><h4>Manage a public key infrastructure</h4><ul><li>Manage certificate authorities, certificates, and storing secrets.</li></ul><h4>Maintain IdM operations</h4><ul><li>Troubleshoot and recover Identity Management.</li></ul><h4>Integrate Red Hat products with IdM</h4><ul><li>Configure major services to share the IdM authentication database.</li></ul><h4>Install scalable IdM</h4><ul><li>Construct a resilient and scalable Identity Management topology.</li></ul></div>

Microsoft Certification

RHCE

Identity & Access Management

IT Certifications

LPIC-1:Linux Administrator

Microsoft AZ-303

Red Hat Identity Management and Active Directory Integration with exam (RH363)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>The primary audience for this course is as follows:<br />Network operations center (NOC) operators<br />System administrators<br />System engineers<br />Technical support personnel<br />Channel partners, resellers</p>Overview<p>Upon completing this course, the learner will be able to meet these overall objectives:<br />Cisco IOS XR general architecture<br />Introduction to the Cisco IOS XR command line interface (CLI)<br />Basic system configuration<br />Tracing the switch fabric data path<br />Monitoring the Cisco IOS XR system<br />Working within the Cisco IOS XR configuration file system<br />Interpreting Cisco IOS XR error messages and log file messages<br />Creating system core dumps</p><p>This 4-day course, Introduction to Cisco IOSÂ© XR (IOSXR100), is an instructor led, lab-based, hands-on course, where you learn the fundamental concepts on which the operating system is based and Cisco IOS XR basic operations for configuration, software, file system configuration, and monitoring. Basic troubleshooting for how to troubleshoot problems relating to process failures, frozen processes, and high CPU and memory consumption is also covered. This course introduces you to the features and functions of the Cisco IOS XR Software operating system. Through a combination of lecture and hands-on lab exercises, you gain an understanding of all major aspects of the operating system, including the architecture, high-availability components, scalability features, configuration basics, switch fabric data path, basic software operations, configuration file overview, monitoring the Cisco IOS XR operating system, and working with error messages and core dumps.</p></div><div id="course-pills-2"><h4>Module 1: Cisco IOS XR Software Overview</h4><ul><li>Cisco IOS XR Architecture</li><li>High Availability</li><li>Scalability</li></ul><h4>Module 2: Cisco IOS XR Configuration Basics</h4><ul><li>Configuration Operations</li><li>Initial Configuration</li><li>Reviewing the Configuration</li><li>Route Processor Redundancy</li></ul><h4>Module 3: Switch Fabric Architecture</h4><ul><li>Cisco IOS XR Architecture, High Availability, and Scalability Review</li><li>Verifying the Fabric Data Path</li></ul><h4>Module 4: Cisco IOS XR Software Operations</h4><ul><li>Examining the Operation Basics</li><li>Examining Configuration Operations</li><li>Examining Configuration Rollback and Recovery</li><li>Examining Process Management</li></ul><h4>Module 5: Configuration File System Overview</h4><ul><li>Configuration File System</li></ul><h4>Module 6: Monitoring the Cisco IOS XR Operating System</h4><ul><li>Cisco IOS XR Architecture</li><li>System Monitoring Commands</li></ul><h4>Module 7: Error Messages and Core Dumps</h4><ul><li>System Error Messages</li><li>Logging System Messages</li><li>Cisco IOS XR Core Dumps</li></ul></div>

Cisco Certified Network Associate (CCNA)

Cisco Certified Network Professional certification (CCNP)

Certificate in Information Security Management Principles (CISMP)

Cisco Certified Entry Networking Technician (CCENT)

Cisco

Cisco Certified Internetwork Expert (CCIE)

Cisco Introduction to Cisco IOS XR (IOSXR100)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>DevOps engineers<br />Integration engineers<br />Network and software architects<br />Network engineers<br />Software engineers<br />System administrators</p>Overview<p>After completing this course, you should be able to:<br />Describe network and IT convergence<br />Describe Cisco NSO architecture<br />Describe Linux<br />Configure Cisco NSO<br />Set up access control to Cisco NSO system<br />Describe Cisco NSO Integration Options<br />Explain version control systems and basic git concepts<br />Describe the purpose of continuous integration and continuous delivery<br />Implement Cisco NSO high availability<br />Describe scalable system management<br />Describe software development methodologies<br />Describe service maintenance<br />Perform NED upgrades<br />Use Cisco NSO for managing services and their associated device configurations<br />Describe Cisco NSO change management<br />Explain service problem management<br />Use Cisco NSO for service monitoring and compliance reporting<br />Describe Cisco NSO inventory management<br />Describe Cisco NSO use cases</p><p>The Cisco Network Services Orchestrator (NSO) Administration and DevOps (NSO303) v4.0 course continues the learning journey of the NSO Essentials for Programmers and Network Architects (NSO201) v4.0 and NSO Advanced for Python Programmers (NSO300) v4.0 courses by introducing you to the system administration and DevOps focusing on NSO; the robust bridge linking network automation and orchestration tools, examining the development, operation, and administration task functions. You will learn how to set up, configure, deploy, and maintain a Cisco Network Services Orchestrator solution, and learn best practices for using DevOps. The examples shown in this course demonstrate real-world scenarios to prepare you for deployment and management of new or existing NSO instances. The course guides you through the setup of a production ready NSO instances using system installation with access control settings, the deployment of NSO in Docker containers, and introduces modern DevOps concepts and tools such as Git and Continuous Delivery/Continuous Deployment (CI/CD). You will learn how to migrate CDM devices, how to build NETCONF NEDs from the NSO CLI, how to handle NSO Alarms, and many more features that benefit you in your journey with Cisco NSO.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Introducing Network and IT Convergence</li><li>Introducing Cisco NSO Architecture</li><li>Introducing Linux</li><li>Explaining Cisco NSO Setup</li><li>Exploring Access Control</li><li>Describing Integration Options</li><li>Explaining Version Control System</li><li>Describing Continuous Integration and Continuous Delivery</li><li>Introducing Scalability and High Availability</li><li>Describing Scalable System Management</li><li>Describing Software Development Methodologies</li><li>Introducing Service Maintenance</li><li>Performing Network Element Driver (NED) Upgrades</li><li>Introducing Configuration Management</li><li>Describing Change Management</li><li>Explaining Service Problem Management</li><li>Explaining Service Monitoring and Compliance Reporting</li><li>Introducing Inventory Management</li><li>Describing Cisco NSO Use Cases</li></ul></div>

Network Engineer

Cisco NSO Administration and DevOps v4.0 (NSO303)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This course is designed for network and software engineers interested in automation and programmability and who hold job roles such as:<br />Account manager<br />Consulting systems engineer<br />Network administrator<br />Network engineer<br />Network manager<br />Sales engineer<br />Systems engineer<br />Technical solutions architect<br />Wireless design engineer<br />Wireless engineer</p>Overview<p>This course will help you: Gain the high-demand knowledge and skills to implement automation, streamline container orchestration, and enhance scalability<br />Learn the skills to maximize the lightweight design of containers to scale more quickly and allow more responsiveness to website traffic load<br />Prepare for the 300-910 DEVOPS exam<br />What to expect in the exam<br />The 300-910 DEVOPS exam certifies your knowledge and skills with DevOps. Key DevOps practices include deployment automation that enables configuration, management, and scalability of cloud microservices and infrastructure processes on Cisco platforms.</p><p>This course teaches you how to automate application deployment, enable automated configuration, enhance management, and improve scalability of cloud microservices and infrastructure processes on CiscoÂ© platforms. You will also learn how to integrate Docker and Kubernetes to create advanced capabilities and flexibility in application deployment. This course prepares you for the 300-910 Implementing DevOps Solutions and Practices Using Cisco Platforms (DEVOPS) certification exam.</p></div><div id="course-pills-2"><h4>Course Outlines</h4><ul><li>ITRODUCING THE DEVOPS MODEL</li><li>INTRODUCING CONTAINERS</li><li>PACKAGING AN APPLICATION USING DOCKER</li><li>DEPLOYING A MULTITIER APPLICATION</li><li> INTRODUCING CI/CD</li><li>BUILDING THE DEVOPS FLOW</li><li>VALIDATING THE APPLICATION BUILD PROCESS</li><li>BUILDING AN IMPROVED DEPLOYMENT FLOW</li><li>EXTENDING DEVOPS PRACTICES TO THE ENTIRE INFRASTRUCTURE</li><li>IMPLEMENTING ON-DEMAND TEST ENVIRONMENTS AT THE INFRASTRUCTURE LEVEL</li><li>MONITORING IN NETDEVOPS</li><li>ENGINEERING FOR VISIBILITY AND STABILITY</li><li>SECURING DEVOPS WORKFLOWS</li><li>EXPLORING MULTICLOUD STRATEGIES</li><li>EXAMINING APPLICATION AND DEPLOYMENT ARCHITECTURES</li><li>DESCRIBING KUBERNETES</li><li>INTEGRATING MULTIPLE DATA CENTER DEPLOYMENTS WITH KUBERNETES</li><li>MONITORING AND LOGGING IN KUBERNETES</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0 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 Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0 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>

AWS Certified Cloud Practitioner

Cisco Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>Any Managed Service Provider who is designing VMware SD-WAN solutions or managing SD-WAN networks for their customers.</p>Overview<p>By the end of this course, you should be able to meet the following objectives:<br />Explain VMware SD-WAN architecture<br />Outline VMware SD-WAN key components<br />Discuss various Managed Service Provider (MSP) use cases and deployment options<br />Deploy VMware SD-WAN Gateway, and VMware SD-WAN Edge<br />Manage VMware SD-WAN Cloud VPN<br />Design VMware SD-WAN for performance and scalability<br />Configure the Partner Gateway handoff</p><p>Customers demand a scalable, secure, and manageable VMware SD-WAN? by VeloCloudÂ©. To deliver a successful solution you must understand VMware SD-WAN architecture, know how the features can solve customer use cases, and be able to design a VMware SD-WAN that can be easily deployed, managed, and expanded.</p></div><div id="course-pills-2"><h4>Course Introduction</h4><ul><li>Introductions and course logistics</li><li>Course objectives</li></ul><h4>Architecture and Core Features</h4><ul><li>Evaluate the current state of the enterprise WAN and limitations for growth</li><li>Describe the key components and features of the VMware SD-WAN architecture</li><li>Explain VMware SD-WAN component placement and interactions between components</li><li>List VMware SD-WAN core value differentiators</li><li>Describe VMware SD-WAN core features</li><li>Evaluate the effect of VMware SD-WAN differentiators on a SD-WAN site deployment</li></ul><h4>VMware SD-WAN MSP use Cases, Deployment Models, and License Models</h4><ul><li>Compare VMware SD-WAN use cases</li><li>List VMware SD-WAN deployment models</li><li>Describe each VMware SD-WAN license model</li></ul><h4>Zero Touch Provisioning</h4><ul><li>Provision VMware SD-WAN Edges</li><li>Describe the workflow of a VMware SD-WAN Edge activation.</li><li>Provision a VMware SD-WAN Virtual Edge on VMware ESXi</li></ul><h4>VMware SD-WAN Cloud VPN</h4><ul><li>Configure the VMware SD-WAN Cloud VPN</li><li>Consider the availability settings when deploying a Cloud VPN</li><li>Describe the packet flow in a Cloud VPN</li></ul><h4>Routing and Branch Design</h4><ul><li>Control SD-WAN overlay and underlay route advertisement</li><li>Overlay flow control</li><li>Describe best practices when designing VMware SD-WAN with BGP</li><li>Evaluate branch design options</li></ul><h4>VMware SD-WAN Security</h4><ul><li>Explain VMware SD-WAN security architecture</li><li>Describe VMware SD-WAN Edge security capabilities</li></ul><h4>High Availability Designs</h4><ul><li>Distinguish between Standard and Enhanced High Availability (HA) and Virtual Router Redundancy Protocol (VRRP)</li></ul><h4>Designing for Performance and Scale</h4><ul><li>List the SD-WAN factors that influence scalability and performance</li><li>Describe VMware SD-WAN Edge Clustering</li></ul><h4>Standing up a Partner Gateway</h4><ul><li>Describe VMware SD-WAN Gateway functionality and roles</li><li>Provision a VMware SD-WAN Gateway from VMware SD-WAN Orchestrator</li><li>Demonstrate the procedure to install a VMware SD-WAN Gateway on ESXi</li><li>Describe how BGP works together with a Partner Gateway hand-off</li></ul><h4>MSP Operations and Version Management</h4><ul><li>Identify the appropriate documentation</li><li>Demonstrate account management</li><li>Describe the VMware SD-WAN upgrade sequence</li><li>Demonstrate a VMware SD-WAN Edge and VMware SD-WAN Gateway upgrade</li></ul></div>

VMware SD-WAN by VeloCloud: Design and Deploy [v3.x]

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Experienced system administrators, system engineers, and system integrators</p>Overview<p>By the end of the course, you should be able to meet the following objectives:<br />Configure and manage a VMware Tools Repository<br />Configure vSphere Replication and recover replicated VMs<br />Manage VM resource usage with resource pools<br />Configure and manage vSphere networking and storage for a large and sophisticated enterprise<br />Configure vCenter High Availability<br />Use host profiles to manage VMware ESXi host compliance<br />Use the vSphere Client to manage certificates<br />Monitor the vCenter, ESXi, and VMs performance in the vSphere client<br />Secure vCenter, ESXi, and VMs in your vSphere environment<br />Use VMware vSphere Trust Authority to secure the infrastructure for encrypted VMs<br />Use Identity Federation to configure the vCenter to use external identity sources</p><p>This five-day course teaches you advanced skills for configuring and maintaining a highly available and scalable virtual infrastructure. Through a mix of lecture and hands-on labs, you configure and optimize the VMware vSphere 8 features that build a foundation for a truly scalable infrastructure. You also discuss when and where these features have the greatest effect. Attend this course to deepen your understanding of vSphere and learn how its advanced features and controls can benefit your organization.</p></div><div id="course-pills-2"><h4>Course Introduction</h4><ul><li>Introductions and course logistics</li><li>Course objectives</li></ul><h4>Virtual Machine Operations</h4><ul><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><li>Identify the components in the vSphere Replication architecture</li><li>Deploy and configure vSphere Replication</li><li>Recover replicated VMs</li></ul><h4>vSphere Cluster Operations</h4><ul><li>Create and manage resource pools in a cluster</li><li>Describe how scalable shares work</li><li>Describe the function of the vCLS</li><li>Recognize operations that might disrupt the healthy functioning of vCLS VMs</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>Explain distributed switch features such as port mirroring and NetFlow</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>Discuss vSphere support for NVMe and iSER technologies</li><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><h4>vCenter and ESXi Operations</h4><ul><li>Create a vCenter backup schedule</li><li>Recognize the importance of vCenter High Availability</li><li>Explain how vCenter High Availability works</li><li>Use host profiles to manage ESXi configuration compliance</li><li>Use the vSphere client to manage vSphere certificates</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>vSphere Security and Access Control</h4><ul><li>Recognize strategies for securing vSphere components, such as vCenter, ESXi hosts, and virtual machines</li><li>Describe vSphere support for security standards and protocols</li><li>Describe identity federation and recognize its use cases</li><li>Configure identity federation to allow vCenter to use an external identity provider</li></ul><h4>vSphere Trusted Environments and VM Encryption</h4><ul><li>Configure ESXi Host Access and Authentication</li><li>Describe virtual machine security features</li><li>Describe the components of a VM encryption architecture</li><li>Create, manage, and migrate encrypted VMs</li><li>List VM encryption events and alarms</li><li>Describe the benefits and use cases of vSphere Trust Authority</li><li>Configure vSphere Trust Authority</li></ul></div>

Veeam

VMware vSphere: Operate, Scale and Secure [V8]

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is ideal for those who regularly deploy or manage Meraki networks and want to deepen their technical expertise and understanding of the full Meraki product suite and features. This may include professionals with job titles or in roles such as:<br />Consulting Systems Engineer<br />Deployment Engineer<br />Network Administrator<br />Network Manager<br />Network Engineer<br />Site Reliability Engineer<br />Systems Engineer<br />Technical Solutions Architect<br />Wireless Design Engineer<br />Wireless Engineer</p>Overview<p>After completing the course, you should be able to:<br />Plan new Cisco Meraki architectures and expand existing deployments<br />Design the network for scalable management and high availability<br />Describe how to automate and scale Meraki deployments with dashboard tools<br />Use dynamic routing protocols to expand networks and improve WAN performance<br />Describe proper QoS, policy and performance-based routing configurations across a Cisco Meraki network and WAN optimization through traffic shaping<br />Describe Virtual Private Network (VPN) and Wide Area Network (WAN) topologies and how to integrate them<br />Secure, expand, and shape the network<br />Implement switched network concepts and practices, and configure guests networks<br />Implement wireless configurations concepts and practices<br />Describe endpoint management concepts and practices using Cisco Meraki Systems Manager<br />Describe physical security concepts and practices<br />Gain network insight by monitoring applications<br />Describe how to prepare monitoring, logging, and alerting services<br />Set up reporting and auditing capabilities in the Cisco Meraki dashboard<br />Monitor and troubleshoot issues using Cisco Meraki tools</p><p>The course, Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 elevates your knowledge of CiscoÂ© Meraki? technology suite. In this advanced technical training course, you?ll learn how to plan for network deployments and integrations using the Cisco Meraki platform. Through practical hands-on instruction and experiences, you will learn how to operate Meraki networks and troubleshoot complex network incidents using the Meraki Dashboard and analytics. You will also learn how to design Meraki architectures for redundancy, high-density, and scalability by implementing comprehensive Meraki product features to meet design objectives. This course is the second of two courses that prepares you for Cisco Meraki certification.</p></div><div id="course-pills-2"><h4>Course Outline </h4><ul><li>Planning new Cisco Meraki architectures and expanding existing deployments</li><li>Designing for scalable management and high availability</li><li>Automating and scaling Meraki deployments</li><li>Designing routing and practices on the Meraki platform</li><li>Describing Quality of Service (QoS) and traffic shaping design</li><li>Building VPN and WAN topologies</li><li>Securing, expanding, and shaping the network</li><li>Describing network concepts and practices</li><li>Implementing wireless configuration practices and concepts</li><li>Describing Endpoint management concepts and practices</li><li>Describing physical security concepts and practices</li><li>Gaining network insight through monitoring applications</li><li>Preparing monitoring, logging, and alerting services</li><li>Setting up reporting and auditing capabilities in the Cisco Meraki Dashboard</li><li>Gaining visibility and resolving issues using Meraki features and built-in troubleshooting tools</li><li></li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 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 Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 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>

Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1

<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-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

<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

Teaching & Training

DP-080T00 Querying Data with Microsoft Transact-SQL

<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>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

VMware vSphere 6.5 Optimize and Upgrade

By Nexus Human

CE131 IBM DB2 SQL Workshop for Experienced Users

By Nexus Human

Site Reliability Engineering (SRE) Practitioner (DevOps Institute)

By Nexus Human

Red Hat Identity Management and Active Directory Integration with exam (RH363)

By Nexus Human

Cisco Introduction to Cisco IOS XR (IOSXR100)

By Nexus Human

Cisco NSO Administration and DevOps v4.0 (NSO303)

By Nexus Human

Cisco Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0

By Nexus Human

VMware SD-WAN by VeloCloud: Design and Deploy [v3.x]

By Nexus Human

VMware vSphere: Operate, Scale and Secure [V8]

By Nexus Human

Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1

By Nexus Human

Search By Location