10761 Mac courses

Duration 5 Days 30 CPD hours This course is intended for Storage and virtual infrastructure consultants, solution architects, and administrators who are responsible for production support and administration of VMware vSAN [v7] Overview By the end of the course, you should be able to meet the following objectives: Describe vSAN concepts Detail the underlying vSAN architecture and components Explain the key features and use cases for vSAN Identify requirements and planning considerations for vSAN clusters Describe the different vSAN deployment options Explain how to configure vSAN fault domains Detail how to define and create a VM Storage policy Discuss the impact of vSAN storage policy changes Describe vSAN storage space efficiency Explain how vSAN encryption works Identify requirements to configure vSAN iSCSI target Detail HCI Mesh technology and architecture Detail vSAN file service architecture and configuration Explain the use cases of vSAN Direct Describe how to setup stretched and two-node vSAN clusters Explain the importance vSAN node hardware compatibility Describe the use of VMware vSphere Lifecycle Manager™ to automate driver and firmware installations Detail vSAN resilience and data availability Discuss the vSAN cluster backup methodology Describe the vSAN maintenance mode and data evacuation options Define the steps to shut down a vSAN cluster for maintenance Explain how to use proactive tests to check the integrity of a vSAN cluster Use VMware Skyline Health™ for monitoring vSAN health Apply a structured approach to troubleshoot vSAN cluster configuration and operational problems During this five-day, intensive course, you gain the knowledge, skills, and tools to plan and deploy a VMware vSAN? cluster. You learn about managing and operating vSAN. This course focuses on building the required skills for common Day-2 vSAN administrator tasks such as vSAN node management, cluster maintenance, security operations, and advanced vSAN cluster operations.You also focus on learning the tools and skills necessary to troubleshoot vSAN 7 implementations and gain practical experience with vSAN troubleshooting concepts through the completion of instructor-led activities and hands-on lab exercises.This course is a combination of the following courses: VMware vSAN: Plan and Deploy, VMware vSAN: Management and Operations, and VMware vSAN: Troubleshooting. Course Introduction Introductions and course logistics Course objectives Introduction to vSAN Describe vSAN architecture Describe the vSAN software components: CLOM, DOM, LSOM, CMMDS, and RDT Identify vSAN objects and components Describe the advantages of object-based storage Describe the difference between All-Flash and Hybrid vSAN architecture Explain the key features and use cases for vSAN Discuss the vSAN integration and compatibility with other VMware technologies Planning a vSAN Cluster Identify requirements and planning considerations for vSAN clusters Apply vSAN cluster planning and deployment best practices Determine and plan for storage consumption by data growth and failure tolerance Design vSAN hosts for operational needs Identify vSAN networking features and requirements Describe ways of controlling traffic in a vSAN environment Recognize best practices for vSAN network configurations Deploying a vSAN Cluster Recognize the importance of hardware compatibility Ensure the compatibility of driver and firmware versioning Use tools to automate driver validation and installation Apply host hardware settings for optimum performance Use vSphere Life Cycle Manager to perform upgrades Deploy and configure a vSAN Cluster using Cluster Quickstart wizard Manually configure a vSAN Cluster using vSphere Client Explain and configure vSAN fault domains Using vSphere HA with vSAN Understand vSAN Cluster maintenance capabilities Describe the difference between implicit and explicit fault domains Create explicit fault domains vSAN Storage Policies Describe a vSAN Object Describe how objects are split into components Explain the purpose of witness components Explain how vSAN stores large objects View object and component placement on the vSAN Datastore Explain how storage policies work with vSAN Define and create a virtual machine storage policy Apply and modify virtual machine storage policies Change virtual machine storage policies dynamically Identify virtual machine storage policy compliance status vSAN Resilience and Data Availability Describe and configure the Object Repair Timer advanced option Plan disk replacement in a vSAN cluster Plan maintenance tasks to avoid vSAN object failures Recognize the importance of managing snapshot utilization in a vSAN cluster Configuring vSAN Storage Space Efficiency Discuss Deduplication and Compression techniques Understand Deduplication and Compression overhead Discuss Compression only mode Configure Erasure Coding Configure swap object Thin Provisioning Discuss Reclaiming Storage Space with SCSI UNMAP Configure TRIM/UNMAP vSAN Security Operations Identify differences between VM encryption and vSAN encryption Perform ongoing operations to maintain data security Describe the workflow of Data-in Transit encryption Identify the steps involved in replacing Key Management Server Introduction to Advanced vSAN Configurations Identify requirements to configure vSAN iSCSI target Detail HCI Mesh technology and architecture Detail vSAN File Service architecture and configuration Explain the use cases of vSAN Direct vSAN Cluster Maintenance Perform typical vSAN maintenance operations Describe vSAN maintenance modes and data evacuation options Assess the impact on cluster objects of entering maintenance mode Determine the specific data actions required after exiting maintenance mode Define the steps to shut down and reboot hosts and vSAN clusters Use best practices for boot devices Replace vSAN Nodes vSAN Stretched and Two Node Clusters Describe the architecture and uses case for stretched clusters Detail the deployment and replacement of a vSAN Witness node Describe the architecture and uses case for two-node clusters Explain the benefits of vSphere HA and vSphere Site Recovery Manager in a vSAN stretched cluster Explain storage policies for vSAN stretched cluster vSAN Cluster Monitoring Describe how the Customer Experience Improvement Program (CEIP) enables VMware to improve products and services Use vSphere Skyline Health for monitoring vSAN Cluster Health Manage alerts, alarms, and notifications related to vSAN in vSphere Client Create and configure custom alarms to trigger vSAN health issues Use IO Insight metrics for monitoring vSAN performance Analyse vsantop performance metrics Use vSAN Proactive Test to detect and diagnose cluster issues vSAN Troubleshooting Methodology Use a structured approach to solve configuration and operational problems Apply troubleshooting methodology to logically diagnose faults and optimize troubleshooting efficiency vSAN Troubleshooting Tools Use Skyline Health for vSAN to identify and correct issues in VMware vSAN Discuss the ways to run various command-line tools Discuss the ways to access VMware vSphere ESXi Shell Use commands to view, configure, and manage your VMware vSphere environment Discuss the esxcli vsan namespace commands Use log files to help vSAN troubleshooting Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSAN: Fast Track (v7) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the VMware vSAN: Fast Track (v7) 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. 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.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT professionals who will be responsible for the support of guests and other virtual machines running in the z/VM environment. It assumes that these persons will have little or no experience in the z/VM environment. Additionally anyone responsible for installing, customizing, and maintaining Linux on System z. Overview Describe the process of running guests under z/VM Define virtual machines to z/VM and reload the directory Customize the CP component of the z/VM system Customize the TCP/IP files on z/VM Apply service to the z/VM system Install SUSE Linux on System z Install additional packages Describe zLinux system management process Describe zLinux backup and recovery procedures Manage and update zLinux network connectivity issues Implement the z/VM Performance Toolkit Prerequisite to z/VM and Linux Connectivity and Management (ZV100) Prerequisite to z/VM RACF and DirMaint Implementation (ZV200) Introduces system programmers to the tasks required to support a z/VM operating system; providing an overview of the processes required to install z/VM & perform the required tailoring steps to support guest operating system virtual machines & CMS users. z/VM and zLinux overview . Installation . Directory . CP system configuration . z/VM networking . VMSES/E . Installing SUSE Linux on System z . Installing additional packages . Network connectivity . System management . Backup and recovery . z/VM Performance Toolkit configuration .

Duration 1 Days 6 CPD hours This course is intended for To ensure success, students should have completed Excel Essentials and Excel Functions Including Pivot Tables and Lookups or have the equivalent knowledge and experience. Overview Upon successful completion of this course, students will understand the programming environment of Visual Basic for applications and know how to create custom procedures and functions that can expand their ability to use Excel more effectively. This course is intended for the experienced Excel users that want to gain knowledge of visual basic for applications (VBA). Introduction to Macros Recording Macros Absolute and Relative How to Run a Macro Basics of Code Writing The VBA Environment (the ?VBE? window) Essential Tips, Tricks, Shortcuts Understanding VBA and Best Practice Crucial VBA Objects and Structures Variables and Data Types Conditionals (If, Select Case) Loops (For, Do) Interaction Interact with Data, Sheets, the Excel Application Interact with User (Message Box, Input Box) Errors Run Editing Debuging Handeling Errors Additional course details: Nexus Humans Excel - VBA Bootcamp training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the Excel - VBA Bootcamp 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. 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.

Duration 2 Days 12 CPD hours This course is intended for NetApp Customers, IT Generalists, Academic Alliance Students Overview Explain ONTAP operation system, Use the CLI and OnCommand System Manager to identify storage components, configure storage systems and storage virtual machines for NAS and SAN client access, create FlexVol volumes, qtrees, and LUNs, manage snapshot copies Introduces introductory concepts covered through instructor led discussions and hands-on labs are how to create aggregates, virtual interfaces, snapshots, volumes, qtrees, and storage virtual machines. Getting Started with Data ONTAP List basic storage concepts such as aggregates, RAID groups, volumes, qtrees, and LUNs Describe Data ONTAP features such as Snapshot copies, unified storage, and storage efficiency Describe the similarities and differences between the 7-Mode and clustered Data ONTAP operating systems Use the CLI and GUI for administrative purposes Hardware Basics Describe the NetApp storage system hardware platforms and the types of disks that they support Describe the hardware components of NetApp storage controllers Use OnCommand System Manager or the CLI to identify hardware components in Data ONTAP operating in 7-Mode and the clustered Data ONTAP operating system Creating & Managing Aggregates Describe aggregates and RAID groups Create aggregates in Data ONTAP operating in 7-Mode Create aggregates in the clustered Data ONTAP operating system Manage aggregates Managing NAS Client Access Configure NAS client access in Data ONTAP operating in 7-Mode Configure data storage virtual machines (SVMs*) for NAS client access in clustered Data ONTAP Create FlexVol volumes and qtrees Managing SAN Client Connections Describe SAN protocol implementation in Data ONTAP operating in 7-Mode and the clustered Data ONTAP operating system Use OnCommand System Manager to create iSCSI-attached LUNs Use NetApp SnapDrive for Windows to create and format iSCSI-attached LUNs Access and manage a LUN from a Windows host Managing Volumes Explain the relationship between space guarantees, volumes, and aggregates Define thin provisioning and explain how it is used Define deduplication and describe the benefits that it provides Use OnCommand System Manager to set quotas Managing Snapshot Copies Define the function of Snapshot copies Create and delete a Snapshot copy Create Snapshot policies in the clustered Data ONTAP operating system Restore a volume from a Snapshot copy Create FlexClone volume clones that are backed by Snapshot copies Steps to Certification Recall the steps to NetApp Certification

Duration 3 Days 18 CPD hours This course is intended for Professionals who want unparalleled creative freedom, productivity, and precision for producing superb 3D modeling. Overview Fundamental concepts and workflows for creating 3D models using AutoCAD, Represent a design by creating solid primitives, solid or surface models from cross-sectional geometry, or composite models from multiple solid models, Complete a solid model design by adding the necessary features to detail, duplicate, and position 3D models, Convert 2D objects to 3D objects, Document a 3D design by creating 2D drawings for production and visualization, Communicate design ideas using visual styles, lights, model walk-through tools, and renderings. In this course, you will learn the fundamental concepts and workflows for creating 3D models using AutoCAD. IntroductionAdvanced Text Objects Annotation Scale Overview Using Fields Controlling the Draw Order Working with Tables Working with Linked Tables Creating Table Styles Projects - Advanced AnnotationDynamic Blocks Working with Dynamic Blocks Creating Dynamic Block Definitions Dynamic Block Authoring Tools Additional Visibility Options Attributes Inserting Blocks with Attributes Editing Attribute Values Defining Attributes Redefining Blocks with Attributes Extracting Attributes Projects - Advanced Blocks & AttributesOutput and Publishing Output For Electronic Review Autodesk Design Review Publishing Drawing Sets Other Tools for Collaboration eTransmit Hyperlinks Cloud Collaboration and 2D Automation Connecting to the Cloud Sharing Drawings in the Cloud Attach Navisworks Files Attach BIM 360 Glue Models Introduction to Sheet Sets Overview of Sheet Sets Creating Sheet Sets Creating Sheets in Sheet Sets Adding Views to Sheets Importing Layouts to Sheet Sets Publishing & Customizing Sheet Sets Transmitting and Archiving Sheet Sets Publishing Sheet Sets Customizing Sheet Sets Custom Blocks for Sheet Sets Projects - Sheet SetsManaging Layers Working in the Layer Properties Manager Creating Layer Filters Setting Layer States CAD Standards CAD Standards Concepts Configuring Standards Checking Standards Layer Translator System Setup Options Dialog Box System Variables Dynamic Input Settings Drawing Utilities Managing Plotters Plot Styles Introduction to Customization Why Customize? Creating a Custom Workspace Customizing the User Interface Using the Customize User Interface (CUI) Dialog Box Customizing the Ribbon Customizing the Quick Access Toolbar Customizing Menus Keyboard Shortcuts Macros & Custom Routines Custom Commands & Macros Running Scripts Action Recorder Editing Action Macros Loading Custom Routines

Duration 2 Days 12 CPD hours This course is intended for The audience for this course is data professionals and data architects who want to learn about migrating data platform technologies that exist on Microsoft Azure and how existing SQL based workloads can be migrated and modernized. The secondary audience for this course is individuals who manage data platforms or develop applications that deliver content from the existing data platform technologies. Overview Understand Data Platform Modernization Choose the right tools for Data Migration Migrate SQL Workloads to Azure Virtual Machines Migrate SQL Workloads to Azure SQL Databases Migrate SQL Workloads to Azure SQL Database Managed Instance In this course, the students will explore the objectives of data platform modernization and how it is suitable for given business requirements. They will also explore each stage of the data platform modernization process and define what tasks are involved at each stage, such as the assessment and planning phase. Students will also learn the available migration tools and how they are suitable for each stage of the data migration process. The student will learn how to migrate to the three target platforms for SQL based workloads; Azure Virtual Machines, Azure SQL Databases and Azure SQL Database Managed Instances. The student will learn the benefits and limitations of each target platform and how they can be used to fulfil both business and technical requirements for modern SQL workloads. The student will explore the changes that may need to be made to existing SQL based applications, so that they can make best use of modern data platforms in Azure. Introducing Data Platform Modernization Understand Data Platform Modernization Understanding the stages of migration Data Migration Paths Choose the right tools for Data Migration Discover the Database Migration Guide Build your data estate inventory using Map Toolkit Identify Migration candidates using Data Migration Assistant Evaluate a Data workload using Database Experimentation Assistant Data Migration using Azure Database Migration Service Migrate non-SQL Server workloads to Azure using SQL Migration Assistant Migrating SQL Workloads to Azure Virtual Machines Considerations of SQL Server to Azure VM Migrations SQL Workloads to Azure VM Migration Options Implementing High Availability and Disaster Recovery Scenarios Migrate SQL Workloads to Azure SQL Databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL DB offline Migrate SQL Server to Azure SQL DB online Load and Move data to Azure SQL Database Migrate SQL Workloads to Azure SQL Database Managed Instance Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed instance Load and Move data to SQL Database Managed instance Application Configuration and Optimization

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Duration 1 Days 6 CPD hours This course is intended for This course is designed for business leaders and decision makers, including C-level executives, project and product managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who have a vested interest in the representation of ethical values in technology solutions. Other individuals who want to know more about data ethics are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus DEBIZ™ (Exam DEB-110) credential. The power of extracting value from data utilizing Artificial Intelligence, Data Science and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we train them to apply ethical principles as they learn from decisions they make? This course provides business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data driven technologies and the impact to an organization which ignores ethical use of technology. Introduction to Data Ethics Defining Data Ethics The Case for Data Ethics Identifying Ethical Issues Improving Ethical Data Practices Ethical Principles Ethical Frameworks Data Privacy Accountability Transparency and Explainability Human-Centered Values and Fairness Inclusive Growth, Sustainable Development, and Well-Being Applying Ethical Principles to Emerging Technology Improving Ethical Data Practices Sources of Ethical Risk Mitigating Bias Mitigating Discrimination Safety and Security Mitigating Negative Outputs Data Surveillance Assessing Risk Ethical Risks in sharing data Applying professional critical judgement Business Considerations Data Legislation Impact of Social and Behavioral Effects Trustworthiness Impact on Business Reputation Organizational Values and the Data Value Chain Building a Data Ethics Culture/Code of Ethics Balancing organizational goals with Ethical Practice Additional course details: Nexus Humans CertNexus Data Ethics for Business Professionals (DEBIZ) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the CertNexus Data Ethics for Business Professionals (DEBIZ) 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. 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.

Duration 3 Days 18 CPD hours This course is intended for Senior Executives CIOs and CTOs Business Intelligence Executives Marketing Executives Data & Business Analytics Specialists Innovation Specialists & Entrepreneurs Academics, and other people interested in Big Data Overview More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection. Big Data Architecture Workshop (BDAW) is a learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, students apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for students to learn techniques for architecting big data systems, not only from Cloudera?s experience but also from the experiences of fellow students. Workshop Application Use Cases Oz Metropolitan Architectural questions Team activity: Analyze Metroz Application Use Cases Application Vertical Slice Definition Minimizing risk of an unsound architecture Selecting a vertical slice Team activity: Identify an initial vertical slice for Metroz Application Processing Real time, near real time processing Batch processing Data access patterns Delivery and processing guarantees Machine Learning pipelines Team activity: identify delivery and processing patterns in Metroz, characterize response time requirements, identify Machine Learning pipelines Application Data Three V?s of Big Data Data Lifecycle Data Formats Transforming Data Team activity: Metroz Data Requirements Scalable Applications Scale up, scale out, scale to X Determining if an application will scale Poll: scalable airport terminal designs Hadoop and Spark Scalability Team activity: Scaling Metroz Fault Tolerant Distributed Systems Principles Transparency Hardware vs. Software redundancy Tolerating disasters Stateless functional fault tolerance Stateful fault tolerance Replication and group consistency Fault tolerance in Spark and Map Reduce Application tolerance for failures Team activity: Identify Metroz component failures and requirements Security and Privacy Principles Privacy Threats Technologies Team activity: identify threats and security mechanisms in Metroz Deployment Cluster sizing and evolution On-premise vs. Cloud Edge computing Team activity: select deployment for Metroz Technology Selection HDFS HBase Kudu Relational Database Management Systems Map Reduce Spark, including streaming, SparkSQL and SparkML Hive Impala Cloudera Search Data Sets and Formats Team activity: technologies relevant to Metroz Software Architecture Architecture artifacts One platform or multiple, lambda architecture Team activity: produce high level architecture, selected technologies, revisit vertical slice Vertical Slice demonstration Additional course details: Nexus Humans Big Data Architecture Workshop training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the Big Data Architecture Workshop 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. 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.

Duration 5 Days 30 CPD hours This course is intended for Developed for experienced IT Professionals working with Citrix Virtual Apps and Desktops 7.1x. Potential students include administrators, engineers, and architects responsible for the end user workspace, provisioning services environment, and overall health and performance of the solution. Overview How to configure Workspace Environment Management to improve the end user environment and virtual resource consumption Understand Zones in Citrix Virtual Apps and Desktops 7.1x and how to account for user and desktop locations and optimal connection and registration How to build and manage App Layers to minimize image sprawl with Citrix Virtual Apps and Desktops 7.1x Understand and configure HDX channels and protocols for improved performance delivering multimedia and data over network connections Get more value out of your Citrix Virtual Apps and Desktops 7.1x investment through the use of Workspace Environment Management, Provisioning Services, Application Layering, and advanced features. Students leave this course with a good understanding of how to manage more complex solutions such as multizone environments spanning multiple locations with configurations around StoreFront, the Delivery Controllers, and HDX. Students will gain the skills to improve logon times, user personalization, and resource performance through Workspace Environment Management. Also, learn to optimize management of your app and desktop images by building and combining App Layers. End the course by learning to install, configure, and manage Provisioning Services in accordance with leading practices.This course includes a voucher to take the related exam (1Y0-311 Citrix XenApp and XenDesktop 7.15 Advanced Administration) and earn your Citrix Certified Professional - Virtualization (CCP-V) certification. Implementing Redundancy and Scalability StoreFront and Citrix Gateway Site Infrastructure Machines Running the Virtual Delivery Agent Managing a Virtual Apps and Desktops Environment with Multiple Locations Zones VDA Registration in a Multi-Zone Environment Zone Preference Optimal Gateway Routing and Zones Managing StoreFront Store Subscriptions in a Multi- Location Environment StoreFront and Citrix ADC Branding Implementing Backups and Disaster Recovery Backups Disaster Recovery Considerations Disaster Recovery Process Implementing Advanced Authentication Methods Multi-factor Authentication - RADIUS & OTP Multi-factor Authentication - Smart Card Authentication Federated Authentication - ADFS, SAML, and FAS Improving App and Data Security Introduction to Application Security Preventing Jailbreak Attacks Minimizing the Impact of Attacks Securing Machines Running the Virtual Delivery Agent TLS to VDA Encryption GPOs and Citrix Policies Image Management Introduction to Troubleshooting Troubleshooting Methodology Process (Standard Slide) Resource Tools and Utilities Introduction to PowerShell Troubleshooting Access Issues Troubleshooting StoreFront Troubleshooting Citrix Gateway Troubleshooting Delivery Controller Issues Validating FMA Services Troubleshooting VDA Registration Issues Troubleshooting VDA Registration Troubleshooting HDX Connection Issues Troubleshooting HDX Connections Introduction to App Layering App Layering Introduction Architecture and How it Works Creating an OS Layer The OS Layer Creating a Platform Layer The Platform Layer Creating App Layers The App Layers Creating Elastic App and User Layers Elastic App Layering User Layers Deploying a Layered Image using Citrix Virtual Apps and Desktops Using Templates in App Layering Using Layered Images in a Citrix Virtual Apps and Desktops Site Exploring Layer Priority Layer Priority Maintaining an App Layering Environment Updating Layers Maintaining and Updating the App Layering Environment Common App Layering Considerations and Additional Resources Introduction to Workspace Environment Management (WEM) Workspace Environment Management (WEM) Introduction WEM Administration Using WEM to Centralize Managing User Resources with WEM Managing Profiles with WEM Managing Endpoints with the WEM Transformer Feature Using WEM for Performance Optimization Optimizing Machine Performance with WEM Optimizing User Experience with WEM Using WEM to Secure Environments WEM Environments Migrating and Upgrading WEM Migrating to WEM Upgrading a WEM Deployment WEM Multi-Location Considerations