7603 Courses

Duration 2 Days 12 CPD hours This course is intended for The audience for this course includes professionals who are new to Looker who are interested in leveraging Looker for data analysis, visualization, and reporting. The course is designed for individuals seeking to gain a comprehensive understanding of Looker's functionalities and apply these skills in their organizations to drive data-driven decision-making. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert facilitator, you'll explore and gain: Comprehensive understanding of Looker's platform: Gain a solid foundation in Looker's key features, functionality, and interface, enabling you to navigate and utilize the platform effectively for your data analysis and visualization needs. Mastery of LookML and data modeling: Develop proficiency in Looker's unique data modeling language, LookML, to create customized and efficient data models that cater to your organization's specific requirements. Expertise in creating insightful Explores: Learn to build, customize, and save Explores with dimensions, measures, filters, and calculated fields, empowering you to analyze your data and uncover valuable insights. Proficiency in dashboard design and sharing: Acquire the skills to design visually appealing and informative dashboards, share them with different user roles, and schedule exports to keep stakeholders informed and up-to-date. Enhanced content organization with folders and boards: Understand how to effectively use folders and boards to organize, manage, and discover content within Looker, making it easily accessible for you and your team. Optional: Advanced visualization techniques for impactful storytelling: Master advanced visualization techniques, including customizations with HTML, CSS, and JavaScript, and interactive visualizations using Looker's API, to create compelling data stories that resonate with your audience. Discover the power of data analytics and visualization with our hands-on, two-day introductory course Looker Bootcamp: Analyzing and Visualizing Data with Looker. Designed for professionals who want to unlock valuable insights from their data, this immersive training experience will guide you through Looker's cutting-edge features and provide you with the essential skills to create engaging, interactive, and insightful reports and dashboards. Our experienced trainers will take you on a journey from the fundamentals of Looker and its unique data modeling language, LookML, to advanced visualization techniques and content organization strategies, ensuring you leave the course equipped to make data-driven decisions with confidence. Throughout the course, you will have the opportunity to participate in practical exercises and workshops that will help you apply the concepts and techniques learned in real-world scenarios. You will explore the potential of Looker's Explores, dive into LookML's capabilities, and master the art of dashboard design and sharing. Learn how to organize and manage your content with folders and boards and harness the power of advanced visualization techniques to make your data come alive. Getting Started with Looker Overview of Looker and its key features Navigating the Looker interface Looker terminology and basic concepts Connecting to Data Sources Setting up and managing data connections Exploring database schemas Understanding LookML: Looker's data modeling language Creating and Customizing Explores Building and customizing Explores Adding dimensions, measures, and filters Creating calculated fields Saving and organizing Explores Data Visualization Creating visualizations using Looker's visualization library Customizing chart types, colors, and labels Displaying visualizations in dashboards Introduction to Looker's API for custom visualizations Advanced Explores and LookML LookML refresher and best practices Creating derived tables and data transformations Managing access controls and data permissions Organizing and Sharing Content with Folders and Boards Introduction to folders and boards in Looker Creating and managing folders for organizing content Setting up boards for easy content discovery Sharing folders and boards with different user roles and permissions Dashboard Design and Sharing Best practices for dashboard design Adding, arranging, and resizing visualizations Scheduling and exporting dashboard data Advanced Visualization Techniques Customizing visualizations with HTML, CSS, and JavaScript Creating interactive visualizations using Looker's API Integrating Looker visualizations with other tools Hands-on Workshop and Project Participants work on a guided project to apply the skills learned Trainer provides individual support and guidance Project Presentations, Q&A, and Training Wrap-up Additional course details: Nexus Humans Looker Bootcamp: Analyzing and Visualizing Data with Looker (TTDVLK02) 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 Looker Bootcamp: Analyzing and Visualizing Data with Looker (TTDVLK02) 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 4 Days 24 CPD hours This course is intended for This is an intermediate course for experienced DBAs and technical individuals, with experience on other relational database platforms, who plan, implement, and maintain Db2 11.1 for Linux, UNIX, and Windows databases. These skills can also be utilize to support cloud based databases using Db2 on Cloud or Db2 Hosted environments. Overview Please refer to course overview This course teaches you to perform, basic and advanced, database administrative tasks using Db2 11.1. These tasks include creating and populating databases and implementing a logical design to support recovery requirements. The access strategies selected by the Db2 Optimizer will be examined using the Db2 Explain tools. Various diagnostic methods will be presented, including using various db2pd command options. Students will learn how to implement automatic archival for database logs and how to plan a redirected database restore to relocate either selected table spaces or an entire database. The REBUILD option of RESTORE, which can build a database copy with a subset of the tablespaces, will be discussed. We will also cover using the TRANSPORT option of RESTORE to copy schemas of objects between two Db2 databases. The selection of indexes to improve application performance and the use of SQL statements to track database performance and health will be covered. This course provides a quick start to Db2 database administration skills for experienced relational Database Administrators (DBA). Overview of Db2 11Command Line Processor (CLP) and GUI UsageThe Db2 EnvironmentCreating Databases and Data PlacementCreating Database ObjectsMoving DataBackup and RecoveryLocks and ConcurrencyDatabase Maintenance, Monitoring and Problem DeterminationSecurityDatabase Rebuild SupportDb2 Database and Table Space RelocationUsing Explain ToolsUsing Indexes for PerformanceAdvanced Monitoring

Duration 5 Days 30 CPD hours This course is intended for Data Warehouse Administrator Database Administrators Database Designers Support Engineer Technical Administrator Overview Back up, restore, and patch DBCS database deployments Describe the DBaaS and on-premises Oracle Database architectures Manage database instances Manage UNDO data Move data between databases Implement basic backup and recovery procedures Monitor and tune database performance Tune SQL to improve performance Manage resources with Oracle Database Resource Manager Create pluggable databases (PDBs) Configure the Oracle network environment Administer user security and implement auditing Create and manage tablespaces Manage storage space Create and manage Database as a Cloud Service (DBCS) database deployments Register databases and manage performance with Enterprise Manager Cloud Control The Oracle Database 12c R2: Administration Workshop Ed 3 course is designed to provide students with a firm foundation in administration of an Oracle Database. In this course students will gain a conceptual understanding of Oracle Database architecture and learn how to manage an Oracle Database in an effective and efficient manner. Exploring Oracle Database Architecture Introducing Oracle Database Relation Database Models Oracle SQL and PL/SQL Oracle Database Server Architecture Connecting to Oracle Databases Oracle Database Tools Oracle-Supplied User Accounts Querying the Oracle Data Dictionary Managing Database Instances Initialization Parameter Files Starting Up Oracle Databases Shutting Down Oracle Databases Opening and Closing PDBs Working with the Automatic Diagnostic Repository (ADR) Querying Dynamic Performance Views Creating PDBs Methods and Tools to Create PDBs Creating PDBs from Seed with SQL*Plus Cloning PDBs with SQL*Plus Unplugging and Pluggin In PDBs with SQL*Plus Dropping PDBs with SQL*Plus Configuring the Oracle Network Environment Oracle Net Services How Listeners Work Configuring Listeners for Dynamic Service Registration Configuring Listeners for Static Service Registration Configuring Local Naming for Connections Testing Oracle Net Connectivity with tnsping Configuring Communication Between Databases Dedicated Versus Shared Server Configurations Administering User Security Creating Users Granting Privileges Creating and Granting Roles Revoking Privileges and Roles Creating and Assigning Profiles Authenticating Users Assigning Quotas to Users Applying the Principal of Least Privilege Creating and Managing Tablespaces How Table Data is Stored Creating Tablespaces in SQL*Plus Altering and Dropping Tablespaces in SQL*Plus Viewing Tablespace Information in SQL*Plus Implementing Oracle Managed Files Moving and Renaming Online Data Files in SQL*Plus Managing Storage Space Oracle Database Space Management Features Block Space Management Row Chaining and Migration Free Space Management Within Segments Types of Segments Allocating Extents Understanding Deferred Segment Creation Space-Saving Features Managing UNDO Data Undo Data: Overview Transactions and Undo Data Storing Undo Information Comparing Undo Data and Redo Data Managing Undo Local Undo Mode Versus Shared Undo Mode Configuring Undo Retention Categories of Undo Moving Data Moving Data: General Architecture Oracle Data Pump: Overview Oracle Data Pump: Benefits Data Pump Export and Import Clients Data Pump Utility: Interfaces and Modes Data Pump Import: Transformations SQL*Loader Overview Loading Methods Backup and Recovery Concepts DBA Responsibilities Categories of Failure Understanding Instance Recovery Understanding Types of Backups Comparing Complete and Incomplete Recovery Oracle Data Protection Solutions Flashback Technology Monitoring and Tuning Database Performance Managing Performance Activities Performance Planning Considerations Database Maintenance Automatic Workload Repository (AWR) Automatic Database Diagnostic Monitor Performance Monitoring Performance Tuning Methodology Database Server Statistics and Metrics SQL Tuning SQL Tuning Process Oracle Optimizer Optimizer Statistics SQL Plan Directives Adaptive Execution Plans SQL Tuning Advisor SQL Access Advisor SQL Performance Analyzer Oracle Database Resource Manager Oracle Database Resource Manager: Overview Resource Manager Elements Using Resource Manager to Allocate Resources Creating a Simple Resource Plan Creating a Complex Resource Plan Using the Active Session Pool Feature Limiting CPU Utilization at the Database Level Limiting CPU Utilization at the Server Level Enterprise Manager Cloud Control Controlling the Enterprise Manager Cloud Control Framework Starting the Enterprise Manager Cloud Control Framework Stopping the Enterprise Manager Cloud Control Framework Introduction to Oracle Database Cloud Service Oracle Cloud: Overview Database Cloud Service Offerings DBCS Architecture Features and Tooling Additional Database Configuration Options Creating DBCS Database Deployments Automated Database Provisioning Creating a Database Deployment How SSH Key Pairs are Used Creating an SSH Key Pair Storage Used for Database Files Managing DBCS Database Deployments Cloud Tooling Accessing Tools and Features from the DBCS Console Managing the Compute Node Associated With a Database Deployment Managing Network Access to DBCS Enabling Access to a Compute Node Port Scaling a Database Deployment Backing Up and Restoring DBCS Database Deployments Backing Up and Recovering Databases on DBCS Backup Destination Choices Backup Configuration Creating an On-Demand Backup Customizing the Backup Configuration Performing Recovery by Using the Console Performing Recovery by Using the dbaascli Utility Patching DBCS Database Deployments Patching DBCS Using the DBCS Console to Manage Patches Using the dbaascli Utility to Manage Patches Creating Master Encryption Keys for PDBs CDB and PDB Master Encryption Keys Determining Whether You Need to Create and Activate and Encryption Key for a PDB Creating and Activating an Encryption Key Tablespace Encryption by Default Tablespace Encryption by Default in DBCS Transparent Data Encryption (TDE) Overview Components of TDE Using TDE Defining the Keystore Location Controlling Tablespace Encryption by Default Managing the Software Keystore and Master Encryption Key Managing the Keystore in CDBs and PDBs Additional course details: Nexus Humans Oracle Database 12c R2 - Administration Workshop Ed 3 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 Oracle Database 12c R2 - Administration Workshop Ed 3 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 Individuals preparing for the Cisco Customer Success ManagerSpecialist certification Individuals who have experience working with customers to determine, measure, and deliver business outcomes through the implementation of technology Overview After taking this course, you should be able to: Describe the role of the Customer Success Manager Describe the tools that the Customer Success Manager uses to ensure customer experience Describe the lifecycle approach to customer experience The Cisco Customer Success Manager (DTCSM) v2.2 course gives you the confidence and competence to fulfill the Customer Success Manager (CSM) role successfully, helping your customers realize value from their solutions and achieve their business outcomes. The course offers experiential learning through practical exercises using situations based on real-life use cases and case studies. In this highly interactive course, you can practice and gain confidence in fulfilling core tasks using best-practice tools and methodologies while receiving feedback from the facilitator and your peers.This course is based on understanding the customer lifecycle and how to optimize that journey, increasing the value realized by the customer, and maximizing your likelihood to maintain their loyalty and renew or expand their business opportunities. The course helps you prepare for the 820-605 Cisco Customer Success Manager (CSM) exam. By passing this exam, you earn the Cisco Customer Success Manager Specialist certification. Course Outline Transition to Subscription Economy Customer and Industry Trends Defining Customer Success and the CSM Role Engaging the Customer for Success Engaging the Customer for Success Addressing Barriers Customer Success Management Activities Success Plan Elements Customer Success Management Activities Additional course details: Nexus Humans Cisco Customer Success Manager v2.2 (DTCSM) 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 Cisco Customer Success Manager v2.2 (DTCSM) 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 This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 5 Days 30 CPD hours This course is intended for Horizon Cloud Service on Microsoft Azure administrators, system integrators, account managers, solutions architects, solutions engineers, sales engineers, and consultants. Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture of Horizon Cloud Service on Microsoft Azure Discuss the initial Microsoft Azure configurations required for the Horizon Cloud Service on Microsoft Azure deployment Discuss Horizon Cloud Service on Microsoft Azure networking concepts Discuss Horizon Cloud Service on Microsoft Azure AD requirements and integration best practices Discuss the integration of Workspace ONE Access with Horizon Cloud Service on Microsoft Azure Discuss the requirements for deploying Horizon Cloud Service on Microsoft Azure Demonstrate how to deploy or upgrade Horizon Cloud Service on Microsoft Azure Identify the Horizon Cloud Service console controls that are available to administrators Identify Horizon Cloud upgrade features and benefits List the steps and considerations to take when setting up a primary VM to be used as an assignable image List the steps to install the user software on the primary VM Describe pools and pool groups Explain the creation process and configuration options for single-session and multisession pools and pool groups Create single-session and multisession assignments and entitlements Explain power management options in the multisession pool groups Manage assignable images on Horizon Cloud Service on Microsoft Azure Identify how to access desktops and application from Horizon Cloud Service on Microsoft Azure Describe the integration of VMware Dynamic Environment Manager with Horizon Cloud Service on Microsoft Azure Manage user personalization and application configurations using the VMware Dynamic Environment Manager management console and application profiler Discuss the usage of App Volumes for Horizon Cloud Service on Microsoft Azure Interpret scalability considerations for Horizon Cloud Service on Microsoft Azure Apply troubleshooting techniques relevant to Horizon Cloud Service and Microsoft Azure Summarize the analytics and monitoring capabilities in Horizon Cloud Service on Microsoft Azure This five-day, hands-on training provides you with the knowledge, skills, and abilities to successfully deploy and manage VMware Horizon© Cloud Service? on Microsoft Azure. This training also teaches you how to use the VMware Horizon Cloud administration console and Microsoft Azure portal. Through a combination of hands-on labs and interactive lectures, you learn how to import and manage images for single and multisession assignments. You also learn how to configure and use the Universal Broker function, VMware App Volumes?, VMware Workspace ONE© Access?, and VMware Dynamic Environment Manager? in the Horizon Cloud Service on Microsoft Azure deployment. Course Introduction Introduction and course logistics Course objectives Introduction to Horizon Cloud Service on Microsoft Azure Discuss the features and benefits of Horizon Cloud Service on Microsoft Azure Identify the available Horizon Cloud and Microsoft licensing options Identify the system architecture components of Horizon Cloud Service on Microsoft Azure Explain how VMware Dynamic Environment Manager is used in Horizon Cloud profile management Describe Horizon Cloud application management using App Volumes Identify the Microsoft Azure configuration prerequisites for a Horizon Cloud integration Identify the main Microsoft Azure components required for a Horizon Cloud deployment Review the virtual machines supported in Horizon Cloud Service on Microsoft Azure Microsoft Azure Networking Requirements Discuss Horizon Cloud connectivity considerations and tasks Explain the networking concepts for Horizon Cloud Service on Microsoft Azure Identify the ports required for local connections, remote connections, and endpoint OS firewall rules Identity Management Explain computer identity type and user identity type Discuss the best practices for Horizon Cloud Service on Microsoft Azure AD integrations Determine the requirements for Horizon Cloud Service on Microsoft Azure AD Describe the benefits of integrating Horizon Cloud with Workspace ONE Access Explain how a user obtains access to an entitled virtual desktop or application from the VMware Workspace ONE© Intelligent Hub catalog Discuss the importance of binding directory with Workspace ONE Access and setting up custom user attribute synchronization Discuss the importance of configuring the Remote App Access client in Workspace ONE Access Demonstrate how to access an entitled Horizon virtual desktop or application in the Workspace ONE Intelligent Hub catalog Deployment and Upgrades Explain the steps and requirements for deploying Horizon Cloud Service on Microsoft Azure Describe the features and benefits of Horizon Edge Describe the differences between internal and external gateways Outline the Horizon Universal Console controls available for administrators Identify the features and benefits of the Horizon Cloud upgrades Creating Images Outline the process and configuration choices for setting up primary VMs Identify the configuration choices for importing primary VMs List the steps to install the user software on the primary VM Explain how to convert a configured primary VM to an assignable image Describe pools and pool groups List the steps for configuring an image to a pool List the steps for configuring an image to a pool group Pool Groups Compare dedicated assignments to floating assignments Outline the steps for creating single-session and multisession assignment Explain the entitlement of pool groups Outline the creation process and configuration options for multisession pools and pool groups Explain the power management selections in the multisession pool groups Compare the rolling maintenance and loadbalancing options Identify the actions related to the multisession groups page Identify the actions to add and assign applications to a user or group Outline the prerequisites for entitling a multisession assignment Access Desktops and Applications Identify the different versions of Horizon Client Describe how to access desktops and remote applications with Horizon Client Describe how to access desktops and remote applications with a browser Compare the remote display protocols that are available for Horizon Cloud Describe the Blast Extreme display protocol codecs List the ideal applications for each Blast Extreme codec Describe the Blast Extreme policy configurations Managing Images Describe images Explain how to manage images VMware Dynamic Environment Manager on Horizon Cloud Service on Microsoft Azure Identify the functional areas of VMware Dynamic Environment Manager and their benefits Explain how to use the VMware Dynamic Environment Manager console and application profiler to manage user personalization and application configurations App Volumes for Horizon Cloud Service on Microsoft Azure Explain how App Volumes works with Horizon Cloud Service on Microsoft Azure Identify the features and benefits of App Volumes in Horizon Cloud Service on Microsoft Azure Identify the interface elements of App Volumes in Horizon Cloud Service on Microsoft Azure Demonstrate how to configure App Volumes in Horizon Cloud Service on Microsoft Azure Scalability Considerations Recognize the scalability settings for Horizon Cloud Service on Microsoft Azure Troubleshooting Horizon Cloud Service on Microsoft Azure Explain the troubleshooting basics for Horizon Cloud Service on Microsoft Azure Identify the analytics and monitoring capabilities of Horizon Cloud Service on Microsoft Azure Explain the troubleshooting basics for Horizon Cloud Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Horizon Cloud Service Next Gen on Microsoft Azure: Deploy and Manage 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 Horizon Cloud Service Next Gen on Microsoft Azure: Deploy and Manage 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 1 Days 6 CPD hours This course is intended for Software Engineers Overview The objective of this course is to learn the key language concepts to machine learning, Spark MLlib, and Spark ML. This course will teach you the key language concepts to machine learning, Spark MLlib, and Spark ML. The course includes coverage of collaborative filtering, clustering, classification, algorithms, and data volume. This course will teach you the key language concepts to machine learning, Spark MLlib, and Spark ML. The course includes coverage of collaborative filtering, clustering, classification, algorithms, and data volume.

Duration 5 Days 30 CPD hours This course is intended for Administrator Architect Database Administrator Overview To provide an acceptable response time to users and manage resources effectively, you learn how to monitor performance and manage resources within the multitenant container database and its pluggable databases, and within each pluggable database. Another important aspect is the data movement between non-CDBs and pluggable databases, and between pluggable databases. It is also important to understand the procedures of upgrading an Oracle Database multitenant container database or an Oracle Database pluggable database. Finally, students discover the way multitenant container database and pluggable databases are created and monitored in the Cloud. This course covers all aspects of the multitenant architecture, providing detailed information on the components of an Oracle multitenant container database and its regular and application pluggable databases. You learn why and how to create and manage a multitenant container database and its regular and application pluggable databases, with storage structures appropriate for the business applications. You practice cold and hot cloning, plugging unplugged pluggable databases in multitenant container databases using various methods. CDB BasicsCDB and Regular PDBsApplication PDBs and Application InstallationPDB CreationCDB and PDB ManagementStorageSecurityBackup and DuplicateRecovery and FlashbackPerformance MonitoringResources AllocationData MovementUpgrade methods

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 1 Days 6 CPD hours This course is intended for The audience for this course includes professionals who are new to Looker who are interested in leveraging Looker for data analysis, visualization, and reporting. The course is designed for individuals seeking to gain a comprehensive understanding of Looker's functionalities and apply these skills in their organizations to drive data-driven decision-making. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore and gain: Solid foundation in Looker's platform: Acquire a comprehensive understanding of Looker's key features, functionality, and interface, enabling you to effectively utilize the platform for your data analysis and visualization needs. Proficiency in LookML and data modeling: Develop essential skills in Looker's unique data modeling language, LookML, to create efficient and customized data models tailored to your organization's specific requirements. Expertise in creating Explores: Learn how to build, customize, and save Explores with dimensions, measures, filters, and calculated fields, empowering you to analyze your data and uncover valuable insights in a short amount of time. Mastery of dashboard design and visualization: Gain the skills to design visually appealing and informative dashboards, create various types of visualizations, and customize them to effectively communicate your data story. Improved content organization with folders and boards: Understand how to effectively use folders and boards in Looker to organize, manage, and discover content, making your data insights easily accessible for you and your team. Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker is a one day, hands-on course designed to equip professionals from a variety of backgrounds with the knowledge and skills needed to harness the full potential of their data using Looker's powerful platform. With the guidance of our expert trainers, you will gain a basic understanding of Looker's features, enabling you to create visually engaging, interactive, and insightful reports and dashboards to drive informed decision-making. Throughout this interactive workshop, you will explore Looker's key functionalities, including connecting to data sources, mastering LookML, building custom Explores, and designing captivating dashboards. With about 40% of the course dedicated to hands-on labs and a guided project, you will have ample opportunity to apply the skills you've learned in real world scenarios. Don't miss this opportunity to elevate your data analysis and visualization capabilities, enhance your professional skill set, and unlock the power of data-driven decision making. Getting Started with Looker Overview of Looker and its key features Navigating the Looker interface Connecting to Data Sources and LookML Basics Setting up and managing data connections Exploring database schemas Understanding LookML: Looker's data modeling language Creating and Customizing Explores Building and customizing Explores Adding dimensions, measures, and filters Creating calculated fields Data Visualization and Dashboard Design Creating visualizations using Looker's visualization library Customizing chart types, colors, and labels Displaying visualizations in dashboards Organizing Content with Folders and Boards Introduction to folders and boards in Looker Creating and managing folders for organizing content Setting up boards for easy content discovery Hands-on Workshop and Project Participants work on a guided project to apply the skills learned Wrap-up and Q&A Additional course details: Nexus Humans Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker (TTDVLK01) 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 Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker (TTDVLK01) 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.