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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 Determine steps and requirements to deploy or upgrade Horizon Cloud Service on Microsoft Azure Recognize Horizon Cloud Service console controls that are available for 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 Identify how to access desktops and application from Horizon Cloud Service on Microsoft Azure Discuss and create Remote Desktop Session Host Farms Explain power management options in the RDSH farm Create VDI desktop assignments and entitlements Manage assignable images on Horizon Cloud Service on Microsoft Azure Describe and Use Image management service for Horizon Cloud Service on Microsoft Azure Describe the integration of Dynamic Environment Manger with Horizon Cloud Service on Microsoft Azure Manage user personalization and application configurations using the Dynamic Environment Manager management console and application profiler Discuss the usage of App Volumes for Horizon Cloud Service on Microsoft Azure Discuss the integration of Workspace ONE Access with Horizon Cloud Service on Microsoft Azure Interpret scalability considerations for Horizon Cloud Service on Microsoft Azure Determine the process of deploying, configuring, and paring Horizon Cloud Connector into your pod's environment 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 achieve competence in deploying and managing VMware Horizon© Cloud Service? on Microsoft Azure. This training increases your skills and competence in using 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 VDI and RDSH assignments. You also learn how to configure and use the Universal Broker function, VMware App Volumes?, 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 Identify Horizon Cloud Service on Microsoft Azure features, benefits, and licensing options Interpret Horizon Cloud Service on Microsoft Azure architecture components to identify configuration prerequisite Interpret Horizon Cloud Service on Microsoft Azure deployment models Discuss the initial Microsoft Azure configurations required for the Horizon Cloud Service on Microsoft Azure deployment Microsoft Azure Networking Requirements Summarize Horizon Cloud connectivity considerations and tasks Discuss Horizon Cloud on Microsoft Azure networking concepts Identify ports required for local connections, remote connections, and endpoint operating system firewall rules Active Directory List the features and limitations of supported AD configurations Discuss Horizon Cloud Service on Microsoft Azure AD integration best practices Determine Horizon Cloud Service on Microsoft Azure AD requirements Deployment and Upgrades Determine steps and requirements to deploy Horizon Cloud Service on Microsoft Azure Discuss the features and benefits of using multiple tenant subnets for desktops and RDSH Discuss the features and benefits of using Internal and External UAG Recognize Horizon Cloud Service console controls that are available for administrators Identify Horizon Cloud upgrade features and benefits Creating Images Outline the process and choices to set up primary VMs Identify the configuration choices for importing primary VMs List steps to install the user software on the primary VM Identify steps to convert a configured primary VM to an assignable image Access Desktops and Applications Use Horizon Client to access desktops and remote applications Compare the remote display protocols that are available for Horizon Cloud Remote Desktop Session Host Farms List the steps and considerations to take when creating an RDSH farm List the actions that can be performed on farms listed on the console?s Farms page List the actions to assign an application to a user or group List the prerequisites and steps to create an RDSH session assignment VDI Desktops Compare a dedicated assignment to floating assignment Outline steps to create a VDI desktop assignment Explain the entitlement of desktops Managing Assignable Images Describe and manage assignable images Describe and Use Image management service for Horizon Cloud Service on Microsoft Azure VMware Dynamic Environment Manager Identify the VMware Dynamic Environment Manager functional areas and their benefits Prepare an infrastructure for VMware Dynamic Environment Manager Outline the steps that are required to install and configure Dynamic Environment Manager components Manage user personalization and application configurations using the Dynamic Environment Manager management console and application profiler 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 Install and configure App Volumes in Horizon Cloud Service on Microsoft Azure Workspace ONE Access Describe the benefits of integrating VMware Horizon Cloud service with Workspace ONE Access. Describe how a user obtains access to an entitled virtual desktop or application from the Intelligent Hub catalog. Describe the importance of binding directory with Workspace ONE Access and setting up custom user attribute synchronization. Describe the importance of configuring the Remote App Access Client in Workspace ONE Access. Summarize the steps of configuring the Access settings in Horizon Cloud control panel. Access an entitled Horizon virtual desktop or application in the Intelligent Hub catalog. Scalability Considerations Discuss the Horizon Cloud Service on Microsoft Azure scalability cost and settings Describe the usage of Universal Broker in Horizon Cloud Service on Microsoft Azure Horizon Cloud Connector Describe the features and benefits of Horizon Cloud Connector List the prerequisites and requirements to connect a Horizon pod with Horizon Cloud Connector Determine the process of deploying, configuring, and paring Horizon Cloud Connector into your pod?s environment Troubleshooting Horizon Cloud Service on Microsoft Azure Discuss Horizon Cloud Service on Microsoft Azure troubleshooting basics Discuss Horizon Cloud Service troubleshooting basics Summarize the analytics and monitoring capabilities in Horizon Cloud Service on Microsoft Azure

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 Data Warehouse AdministratorDatabase AdministratorsDatabase DesignersSupport EngineerTechnical Administrator Overview Monitor the DatabaseManage Database PerformanceImplement Database AuditingConfigure the Database Instance Such That Resources Are Appropriately Allocated Among Sessions and TasksSchedule Jobs to Run Inside or Outside of the DatabaseConfigure Oracle Net ServicesConfigure your Database For Backup and Recovery OperationsDescribe Oracle Database ArchitectureManage the Oracle Database InstanceManage Oracle Database Storage structuresCreate and Administer User Accounts The Oracle Database 12c: Administration Workshop will teach you about the Oracle Database architecture. You will discover how to effectively manage an Oracle Database instance, configure the Oracle Network Environment and perform database maintenance. The Oracle Database 12c: Administration Workshop will teach you about the Oracle Database architecture. You will discover how to effectively manage an Oracle Database instance, configure the Oracle Network Environment and perform database maintenance.

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Data Warehouse Administrator, Database Administrator, Database Designer, Support Engineer, and Technical Administrator. Overview Upon successful completion of this course, students will be able to Install Oracle Grid Infrastructure for a Standalone Server, Configure ASMLIB and create ASM disk groups, Apply the latest patch set updates to the Grid Infrastructure software, Install Oracle Database software, Use Oracle Restart to manage components, Prepare the Linux operating system for Oracle software installation, Upgrade Oracle Database, Create a container database, Install Oracle Grid Infrastructure for an Independent Server, Create an Oracle Database using DBCA, and Install the latest patch set updates to the Oracle database software. This Oracle Database: Deploy, Patch and Upgrade Workshop gives you detailed information to help you install Oracle Database software. In this course, you will be introduced to Oracle Database Cloud Service. Oracle Database Overview Oracle Database Introduction Oracle Database Architecture Overview Oracle Database Instance Configurations Oracle Database Memory Structures Process Structures Database Storage Architecture Logical and Physical Database Structures Container and Pluggable Database Overview Installing Oracle Grid Infrastructure for a Standalone Server Overview of Oracle Grid Infrastructure for a Standalone Server System Requirements for Oracle Grid Infrastructure Configuring Storage for Oracle Automatic Storage Management (ASM) Installing Oracle Grid Infrastructure for a Standalone Server Upgrading Oracle Grid Infrastructure for a Standalone Server Installing Oracle Database Software Planning Your Installation System Requirements for Oracle Database Preparing the Operating System Using 4 KB Sector Disks Setting Environment Variables Checking the System Requirements Using the Oracle Universal Installer (OUI) Performing a Silent Mode Installation Creating an Oracle Database by Using DBCA Planning the Database Storage Structure Choosing non-CDB or CDB Types of Databases (based on workload) Choosing the Appropriate Character Set Understanding How Character Sets are Used Setting the NLS_LANG Initialization Parameter Using the Database Configuration Assistant (DBCA) Using Oracle Restart Oracle Restart Overview Oracle Restart Process startup Controlling Oracle Restart Choosing the Correct SRVCTL Utility Oracle Restart Configuration Using the SRVCTL Utility Obtaining Help for the SRVCTL Utility Starting Components by Using the SRVCTL Utility Introduction to Upgrading to Oracle Database Upgrade Methods Data Migration Methods Supported Releases for Direct Upgrade Overview of Upgrade Process Performing a Rolling Upgrade Upgrading a CBD Preparing to Upgrade to Oracle Database Developing a Test Plan Performance Testing Requirements for Databases Using Oracle Label Security or Oracle Database Vault Requirement for Databases Using Oracle Warehouse Builder Using the Pre-Upgrade Information Tool Backing Up the Database Installing the Oracle Database Software Preparing the New Oracle Home Upgrading to Oracle Database Upgrading by Using the Database Upgrade Assistant (DBUA) Manually Upgrading to Oracle Database Migrating a non-CDB to a CDB Performing Post-Upgrade Tasks Migrating to Unified Auditing Performing Post-Upgrade Tasks Following a Manual Upgrade Migrating Data by Using Oracle Data Pump Data Pump Overview Migrating by Using Data Pump Importing by Using a Network Link

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Platform Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing,storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This 1-day instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for Azure system administrators, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Identify the purpose of projects on Google Cloud. Understand how Azure's resource hierarchy differs from Google Cloud's Understand the purpose of and use cases for Identity and Access Management. Understand how Azure AD differs from Google Cloud IAM. List the methods of interacting with Google Cloud. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine Understand the basics of networking in Google Cloud. Understand how Azure VPC differs from Google VPC. Understand the similarities and differences between Azure VM and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure. Deploy applications using Google Compute Engine Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Azure Blob compares to Cloud Storage. Compare Google Cloud?s managed database services with Azure SQL. Learn how to choose among the various storage options on Google Cloud. Load data from Cloud Storage into BigQuery Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Azure Kubernetes Service differs from from Google Kubernetes Engine. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Azure App Service. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Google Cloud Deployment Manager differs from Azure Resource Manager. Understand the purpose of integrated monitoring, alerting, and debugging Understand how Google Monitoring differs from Azure Application Insights and Azure Log Analytics. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from Azure Data Lake. Understand how Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from Azure's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from Azure to Google Cloud.

Duration 2 Days 12 CPD hours This course is intended for This course is intended for experienced Oracle Database Administrators, System Administrators, and Developers. Overview Upon completion of this course, the student should be able to: Understand the concept, benefits, configuration, and usage of the new features and enhancements in database overall area, security area, availability area, performance area, big data and data warehousing area and enhancements in diagnosability area and in sharding area. The course provides the Oracle Database 19c new features and enhancements related to database overall, security, availability, performance, data warehousing, and diagnosability. The course provides the Oracle Database 19c new features and enhancements related to database overall, security, availability, performance, data warehousing, and diagnosability.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for Database Administrators, Database Developers, BI professionals, and Business reporting users. Overview Upon successful completion of this course, students will be able to run Queries and retrieve results, perform conditional searches, and retrieve data from multiple tables. Before starting this course, make sure you meet at least one of the following prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality. Basic working knowledge of Relational Databases. In this course, students will gain a good understanding of the Transact-SQL language. They will be able to create queries, sort, filter the data, execute procedures with T-SQL. Course Outline 1.Introduction to Microsoft SQL Server 2.Introduction to T-SQL Querying 3.Writing SELECT Queries 4.Querying Multiple Tables 5.Sorting and Filtering Data 6.Working with SQL Server Data Types 7.Using DML to Modify Data 8.Using Built-In Functions 9.Grouping and Aggregating Data 10.Using Subqueries 11.Using Table Expressions 12.Using Set Operators 13.Using Windows Ranking, Offset, and Aggregate Functions 14.Pivoting and Grouping Sets 15.Executing Stored Procedures 16.Programming with T-SQL

Duration 2 Days 12 CPD hours This course is intended for Oacle Database Administrators System Administrators Developers Overview Understand the concept, benefits, configuration, and usage of the new features and enhancements in database overall area Understand the concept, benefits, configuration, and usage of the new features and enhancements in the security area Understand the concept, benefits, configuration, and usage of the new features and enhancements in the availability area Understand the concept, benefits, configuration, and usage of the new features and enhancements in the performance area Understand the concept, benefits, configuration, and usage of the new features and enhancements in big data and data warehousing area Understand the concept, benefits, configuration, and usage of the new features and enhancements in diagnosability area Understand the concept, benefits, configuration, and usage of the new features and enhancements in sharding area The course provides the Oracle Database 19c new features and enhancements related to database overall, security, availability, performance, data warehousing, and diagnosability. In the lessons, you learn the new and enhanced features of Oracle Database 19c amongst different areas such as database overall, security, availability, performance, big data and warehousing, and diagnosability. Using General Database Overall EnhancementsUsing Security EnhancementsUsing Availability EnhancementsUsing Performance EnhancementsUsing Big Data and Data Warehousing EnhancementsUsing Diagnosability EnhancementsSharding Enhancements

Duration 2 Days 12 CPD hours This course is intended for Participants who have actual experience in the data centre and/or IT infrastructures are best suited. Attendance of the CDCP© course is recommended but not a requirement. Overview After completion of the course the participant will be able to: 1. Develop and review their data centre strategy 2. Use different risk assessment methodologies together with practical tips specifically for data centre migrations to reduce the risk during a data centre migration 3. Understand different migration strategies 4. Understand the legal aspects when migrating a data centre 5. Understand the importance of Business Service Reviews and Service Level Objectives 6. Size and design the target data centre 7. Understand the importance of detailed discovery and how dependencies influence migration waves 8. Understand the safety requirements during migration 19. Get lots of practical tips when moving to another data centre This course is designed to expose participants to a step-by-step methodology which will enable them to reduce the risks involved when undertaking a data centre migration. It will also give participants a lot of valuable practical hints and tips by trainers having extensive experience in moving and consolidating mission critical data centre. Data Centre Strategy Data centre lifecycle Reasons to migrate a data centre Alternatives to data centre migration Consolidation Outsourcing Cloud computing Upgrade existing data centre or build new Project Management Project management and methods Scope statement Statement Of Work (SOW) Work Breakdown Structure (WBS) Allocate time to the project Cost and estimation methodology Project communication Risk Management Risk management and methods Risk identification Risk assessment methodologies Qualitative approach Semi-quantitative approach Quantitative approach Risk evaluation Risk treatment Risk in data centre migrations Migration Strategies Different data centre migration strategies Heterogeneous migration Homogeneous migration Physical migration Different IT transformations Pre-migration transformation Migration transformation Post-migration transformation Legal Aspects Regulatory requirements Contractual considerations Legal aspects when decommissioning High Level Discovery & Planning The importance of Business Service Reviews The concept of Availability The concept of Recoverability The importance of Service Level Objectives Requirements on designing the target IT architecture Information needed for high level planning Design Target Data Centre Requirements for the target data centre Sizing the data centre Architectural requirements Cooling requirements Power requirements Security Detailed Discovery and Planning The importance of discovery Automated discovery tools Asset management Network and system dependencies Detailed migration planning Migration waves Staffing Warranties and insurance Safety Safety precautions Technical safety review Electrical safety Lifting Personal safety during migration Fire safety during migration Security Controversy between access and security Access control Managing security during migration Security during migration Key management Practical hints and tips Continuous improvement Implementation Rehearsal Route investigation Resourcing Logistics team Packing Transport Installing the equipment Post migration support End of Project Why project closure Lessons learned Phased completion of project Criteria for project closure The outcome of the project End of project Exam: Certified Data Centre Migration Specialist Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Duration 5 Days 30 CPD hours This course is intended for Database DesignersSupport EngineerTechnical AdministratorDatabase AdministratorsData Warehouse Administrator Overview Use Oracle Restart to manage components.Upgrade database to Oracle Database 12c.Install Oracle Grid Infrastructure for a Standalone Server.Create a container database.Create an Oracle DatabaseInstall Oracle Database 12c software.Monitor the Database.Manage Database Performance.Implement Database Auditing.Configure the Database Instance Such That Resources Are Appropriately Allocated Among Sessions and Tasks.Schedule Jobs to Run Inside or Outside of the Database.Configure Oracle Net Services.Configure your Database For Backup and Recovery Operations.Describe Oracle Database Architecture.Manage the Oracle Database Instance.Manage Oracle Database Storage structures. This course will will teach you about the Oracle Database architecture and you will discover how to effectively manage an Oracle Database instance. You will also be provided key information on how to install and administer Oracle Database 12c. This course will will teach you about the Oracle Database architecture and you will discover how to effectively manage an Oracle Database instance. You will also be provided key information on how to install and administer Oracle Database 12c.