3591 Courses delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Executives, Project Managers, Business Analysts, Business and IT stakeholders engaged in improving the delivery of products and services that meet user needs through the use of Microsoft SharePoint; Anyone who wants to improve their Business Analysis skills; Project stakeholders concerned with SharePoint requirements. Overview Plan, manage and close requirements for a project in reduced time using good business analysis practices Minimize project uncertainty and risk by applying good techniques Ensure your project delivers required functionality and adds value to the business Create an environment of self-management for your team that will be able to continuously align the delivered product or services with desired business needs, easily adapting to changing requirements throughout the process. Requirements can change frequently during a SharePoint project, and therefore projects need a streamlined, flexible approach to requirements change management. SharePoint professionals want to develop systems and services which are both high-quality and high-value, and the easiest way to achieve this is to implement the highest priority requirements first. This enables the projects to maximize value for their stakeholders. Introduction ? Roles involved in a SharePoint project The opportunities and challenges of a SharePoint project The business analysis process BA role vs. project manager role BA / PM competencies Case Study Exercise Understanding SharePoint Requirements Business, User, Functional, Quality-of-service and implementation requirements Requirements vs. specifications Requirements vs. business rules Risk management and risk response strategies Analyzing requirements Characteristics of effective requirements Case Study Exercise SharePoint Requirements Modeling Identify high level scope Identify initial requirements stack Identify an architectural vision Plan your iteration Iteration modeling Model storming Test driven development Case Study Exercise The Change Management Process Managing the Solution Scope and Requirements Capturing the Requirements Traceability Maintaining the Requirements for re-use Managing Requirements Conflicts Preparing the Requirements Package Building the Requirements communications plan Case Study Exercise Assessing & Validating Requirements Validating and verifying SharePoint Requirements Creating a master test plan Create test scenarios and test cases Case Study Exercise Additional Information Useful books and links on managing requirements and projects for SharePoint initiatives

Duration 5 Days 30 CPD hours This course is intended for Senior Linux system administrators responsible for maximizing resiliency though high-availability clustering services and using fault-tolerant shared storage technologies. Overview As a result of attending this course, students should be able to create, manage, and troubleshoot highly available network services and tightly coupled cluster storage for business-critical applications. Students should be able to demonstrate the following skills: Improve application uptime by using high-availability clustering Manage storage in a high-availability environment using iSCSI initiators, HA-LVM or CLVM as appropriate, and GFS2 cluster file systems Implement strategies to identify single points of failure in high-availability clusters, and eliminate them This course will guide you through an intensive, hands-on experience with the Pacemaker component of the Red Hat Enterprise Linux High-Availability Add-On, as well as cluster storage components from the Resilient Storage Add-On, including Cluster Logical Volume Manager (CLVM), Red Hat Global File System 2 (GFS2), and Device-Mapper Multipath.This course covers the same material as RH436, but includes the Red Hat Certified Specialist in High Availability Clustering exam (EX436). This course is based on Red Hat Enterprise Linux 7.1. Clusters and storage Get an overview of storage and cluster technologies. Create high-availability clusters Review and create the architecture of Pacemaker-based high-availability clusters. Nodes and quorum Review cluster node membership and how quorum is used to control clusters. Fencing Understand fencing and fencing configuration. Resource groups Create and configure simple resource groups to provide high-availability services to clients. Troubleshoot high-availability clusters Identify and troubleshoot cluster problems. Complex resource groups Control complex resource groups by using constraints. Two-node clusters Identify and work around two-node clusters issues. ISCSI initiators Manage iSCSI initiators for access to shared storage. Multipath Storage Configure redundant storage access. Logical volume manager (LVM) clusters Manage clustered LVM. Global File System 2 Create symmetric shared file systems. Eliminate single points of failure Eliminate single points of failure to increase service availability. Comprehensive review Set up high-availability services and storage.

Duration 2 Days 12 CPD hours This course is intended for Develop for experienced IT Professionals familiar with Citrix Virtual Apps and Desktops 7.1x in an on-premises environment. Potential students include administrators, engineers, and architects designing or deploying Citrix Virtual Apps and Desktops workloads on Microsoft Azure. Overview Prepare the Azure environment for secure integration with Citrix Virtual Apps and Desktops Deploy and manage Virtual Delivery Agent machines in Microsoft Azure using Machine Creation Services Integrate Citrix Cloud and Citrix Virtual Apps and Desktops with Microsoft Azure Active Directory Design Machine Catalogs and virtual machines on Microsoft Azure Resource Manager Provide remote access with Citrix StoreFront and Citrix Gateway on Microsoft Azur Students learn to deploy and manage the Citrix Virtual Apps and Desktops apps and desktops in Microsoft Azure. Students gain the skills to plan the machine catalog and virtual machine design based in Microsoft?s public cloud and get hands-on practice deploying those machines using Machine Creation Services. Students will also learn about additional Azure considerations including maintenance and power management which are critical in a cloud environment. For remote access, students will learn to configure Citrix StoreFront and Citrix Gateway on the Azure platform. This course focuses on Microsoft Azure as a Citrix Cloud resource location however concepts are relevant to both Citrix Cloud and fully managed Citrix Virtual Apps and Desktops sites. Citrix Virtual Apps and Desktops on Azure Overview Defining IAAS Citrix Virtual Apps and Desktops Azure Deployment Models Azure Fundamentals Review Azure Management Azure Locations Citrix Virtual Apps and Desktops Integration with Azure Active Directory Active Directory Basics Active Directory Usage Connecting On-premises Active Directory to Azure Azure Role Based Access Control Connecting to Microsoft Azure Azure Connectivity Cloud Connectors in Azure Creating Citrix Virtual Apps and Desktops Host Connections to Azure Deploying Apps and Desktops using Machine Creation Services Master Image Preparation Machine Creation Services in Azure Considerations for Deploying onto Azure Providing Access to End Users StoreFront Locations Citrix ADC Locations Multiple Citrix Virtual Apps and Desktops Zones in Azure Regions Maintaining Infrastructure and VDAs in Microsoft Azure Maintaining Infrastructure Maintaining Resources Power Management Plan for a Successful POC Planning your next steps

Duration 3 Days 18 CPD hours This course is intended for In order to be successful in this class, incoming attendees are required to have current, hands-on experience in developing basic web applications, and be versed in HTML5, CSS3 and JavaScript. This is an introductory level Angular development course but an intermediate level web development class, designed for experienced web developers that need to further extend their skills in web development Overview Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to: What Angular is and why should you use it How Angular reduces the amount of code that you must write to add rich functionality to both existing and new web pages What TypeScript is, why it is useful, and how to use it with Angular How to facilitate development and deployment using Angular CLI How to work with the various aspects of the Angular architecture to implement clean, responsive web interfaces How Routers can support navigation within a Single Page Application What the best practices are for using Angular so that it works unobtrusively and performs well How to use Angular with HTTP to support JSON, REST, and other services Best practices for Angular so that it works unobtrusively and performs well Angular is one of the most popular JavaScript frameworks for creating web and native mobile applications. This introductory course thoroughly explores the latest Angular features and advances, demonstrating how to solve the traditional challenges of JavaScript web application development. You will build custom components, using application routes, form validation, and unit-testing and delve into component-driven development with Angular components. Angular Overview Overview of Angular Architecture Getting Started with Angular Getting Started with TypeScript Bootstrapping with Angular CLI Angular Project Structure Unit Testing with Angular Testing and Angular Working with Angular Components and Events Third Party Libraries Dynamic Views Pipes Angular Forms Forms and the Forms API Single Page Applications and Routes Single Page Applications Services and Dependency Injection Modules Using RESTful Services Overview of REST Angular and REST Angular Best Practices Angular Style Guide What is New in Angular 9 Additional Topics (Time Permitting) Lesson: ES6+ Sass and SCSS for Angular and Material

Duration 4 Days 24 CPD hours This course is intended for This course is designed for those who have little or no experience with Linux and whoare seeking a fundamental understanding of the SUSE Linux Enterprise 15 operatingsystem. It is also ideal for those who want to begin preparing for the SUSE CertifiedAdministrator in Enterprise Linux 15 certification exam. Overview Attendees will be taught the following concepts and skills that are fundamental inadministering the SLES Operating System:Install SLES 15 and perform basic Linux configurationBecome familiar with the command line interface & commonly usedcommandsConfigure and use Remote AdministrationManage the boot process and understand systemsManage processes and jobsManage users and permissionsManage softwareConfigure basic networkingManage storageMonitor SUSE Linux Enterprise This course is designed for those who are seeking a fundamental understanding of the SUSE Linux Enterprise Server (SLES) operating system.Students will be able to install and configure a SLES 15 server and integrate it into an existing network. They will be able to perform the most important system administration tasks. Overview of SUSE Linux Enterprise Flavors of SUSE Linux SLE Maintenance Model YaST The Linux Filesystem Understand the Filesystem Hierarchy Standard (FHS) Understand the Linux File Types Work with the Command Line Getting Help at the Command Line Understand the Shell Environment The Vim EditorRemote Administration Understand Remote Administration with OpenSSH Understand Remote Administration with VNC System Initialization Understand the Boot Process Understand the GRUB2 Boot Loader Define and Describe systems Process Management Understand Process Administration Understand Background Processes Understand Process Scheduling Understand xinet Identify and Security Understand User Management Understand Filesystem Permissions Understand Privilege Delegation Software Management Understand Compiling Software from Source Understand Management of RPM Packages Understand Software Management with Libzypp Network Management Understand Network Management in SLE Understand Network Management with Wicked Understand firewall Storage Management Understand the Linux I/O Stack Recognize Traditional Linux File Systems Configure Logical Volume Management (LVM) Configure Software RAID Define and Describe BtrFS Understand NFSv4 Administration and Monitoring Understand Time Sync with chrony Configure System Logging Understand Supportconfig Installing SUSE Linux Enterprise Understand the Unified Installer Understand Extensions and Modules Understand AutoYaST

Duration 4 Days 24 CPD hours This course is intended for This intermediate course is designed for technical support personnel who implement, operate, and perform day-to-day administration of IBM MQ V8 on z/OS. Overview Describe message-oriented middleware and the capabilities it must provideIdentify the key components of IBM MQ for z/OSSummarize the responsibilities of the IBM MQ administratorConfigure IBM MQ IBM V8 for z/OSEnable IBM MQ for z/OS eight-byte RBA and buffers above 2 GBDemonstrate how to create and change queues and place and retrieve messages from a queueDefine and demonstrate how to set up and work with distributed queuingDifferentiate between an IBM MQ queue manager and an IBM MQ clientDescribe and demonstrate how to set up an IBM MQ clusterContrast point-to-point and publish/subscribe messaging stylesDescribe shared queues and queue sharing groupsSummarize IBM MQ for z/OS recovery and restart activitiesDemonstrate how to use IBM MQ events for monitoringSummarize performance considerationsDescribe security considerations for IBM MQ for z/OSDescribe and implement connection authentication and channel authorizationIdentify correct problem determination techniques for IBM MQ for z/OSSummarize basic use and configuration of IBM MQ Managed File TransferDescribe IBM MQ support for CICS and IMS interfaces This course provides the skills that are necessary to configure and manage an IBM MQ V8 queue manager on z/OS. Through lectures and hands-on lab exercises, students learn how to install, customize, operate, and administer IBM MQ V8. Course Outline Course introduction IBM MQ review IBM MQ architecture, installation, and configuration Exercise: Configuring an IBM MQ for z/OS queue manager IBM MQ for z/OS administrative interface options Exercise: Working with queues Distributed queuing Exercise: Working with channels IBM MQ clients Exercise: Working with IBM MQ clients IBM MQ cluster basics Exercise: Working with IBM MQ clusters Publish/subscribe basics Exercise: Publish/subscribe basics Queue sharing groups Using IBM MQ events and the dead-letter queue utility Exercise: Working with IBM MQ events Security considerations Exercise: Security Problem determination IBM MQ Managed File Transfer Exercise: IBM MQ Managed File Transfer configuration for z/OS IBM MQ for z/OS backup, recovery, and related file tasks Exercise: Working with file handling utilities Support for CICS, IMS, and HTTP applications Course summary

Duration 1 Days 6 CPD hours Overview Understand problems and the creative problem solving processIdentify types of information to gather and key questions to ask in problem solving Identify the importance of defining a problem correctlyIdentify and use four different problem definition toolsWrite concrete problem statementsUse basic brainstorming tools to generate ideas for solutionsEvaluate potential solutions against criteria, including cost/benefit analysis and group votingPerform a final analysis to select a solutionUnderstand the roles that fact and intuition play in selecting a solutionUnderstand the need to refine the shortlist and redefine itUnderstand how to identify the tasks and resources necessary to implement solutionsEvaluate and adapt solutions to reality This workshop will give students an overview of the creative problem solving process, as well as key problem solving tools that they can use every day. Skills such as brainstorming, information gathering, & analyzing data will be covered during class. Getting Started Workshop Objectives The Problem Solving Method What is a Problem? What is Creative Problem Solving? What are the Steps in the Creative Solving Process? Case Study Module Two: Review Questions Information Gathering Understanding Types of Information Identifying Key Questions Methods of Gathering Information Case Study Module Three: Review Questions Problem Definition Defining the Problem Determining Where the Problem Originated Defining the Present State and the Desired State Stating and Restating the Problem Analyzing the Problem Writing the Problem Statement Case Study Module Four: Review Questions Preparing for Brainstorming Identifying Mental Blocks Removing Mental Blocks Stimulating Creativity Case Study Module Five: Review Questions Generating Solutions (I) Identifying Mental Blocks Removing Mental Blocks Stimulating Creativity Case Study Module Five: Review Questions Generating Solutions (II) The Morphological Matrix The Six Thinking Hats The Blink Method Case Study Module Seven: Review Questions Analyzing Solutions Developing Criteria Analyzing Wants and Needs Using Cost/Benefit Analysis Case Study Module Eight: Review Questions Selecting a Solution Doing a Final Analysis Paired Comparison Analysis Analyzing Potential Problems Case Study Module Nine: Review Questions Planning Your Next Steps Identifying Tasks Identifying Resources Implementing, Evaluating, and Adapting Case Study Module Ten: Review Questions Creating a Performance Plan Planning the Follow-Up Meeting Celebrating Successes Identifying Improvements Case Study Module Eleven: Review Questions Wrapping Up Words from the Wise Lessons Learned

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for developers and administrators who intend to use HBase. Overview Skills learned on the course include:The use cases and usage occasions for HBase, Hadoop, and RDBMSUsing the HBase shell to directly manipulate HBase tablesDesigning optimal HBase schemas for efficient data storage and recoveryHow to connect to HBase using the Java API, configure the HBase cluster, and administer an HBase clusterBest practices for identifying and resolving performance bottlenecks Cloudera University?s four-day training course for Apache HBase enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second. Introduction to Hadoop & HBase What Is Big Data? Introducing Hadoop Hadoop Components What Is HBase? Why Use HBase? Strengths of HBase HBase in Production Weaknesses of HBase HBase Tables HBase Concepts HBase Table Fundamentals Thinking About Table Design The HBase Shell Creating Tables with the HBase Shell Working with Tables Working with Table Data HBase Architecture Fundamentals HBase Regions HBase Cluster Architecture HBase and HDFS Data Locality HBase Schema Design General Design Considerations Application-Centric Design Designing HBase Row Keys Other HBase Table Features Basic Data Access with the HBase API Options to Access HBase Data Creating and Deleting HBase Tables Retrieving Data with Get Retrieving Data with Scan Inserting and Updating Data Deleting Data More Advanced HBase API Features Filtering Scans Best Practices HBase Coprocessors HBase on the Cluster How HBase Uses HDFS Compactions and Splits HBase Reads & Writes How HBase Writes Data How HBase Reads Data Block Caches for Reading HBase Performance Tuning Column Family Considerations Schema Design Considerations Configuring for Caching Dealing with Time Series and Sequential Data Pre-Splitting Regions HBase Administration and Cluster Management HBase Daemons ZooKeeper Considerations HBase High Availability Using the HBase Balancer Fixing Tables with hbck HBase Security HBase Replication & Backup HBase Replication HBase Backup MapReduce and HBase Clusters Using Hive & Impala with HBase Using Hive and Impala with HBase Appendix A: Accessing Data with Python and Thrift Thrift Usage Working with Tables Getting and Putting Data Scanning Data Deleting Data Counters Filters Appendix B: OpenTSDB

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files