Data Engineering
Showing 793–804 of 809 results
Windows Server 2022: Implement and Manage Windows Server High Availability
Windows Server failover clustering is a built-in server role to provide high availability to key services. This course will teach you how to plan, deploy, and maintain Windows Server failover clusters both on-premises and in Microsoft Azure.
Windows Server 2022: Implement Disaster Recovery
You need to protect your Windows Server workloads both on-premises and in Microsoft Azure. This course teaches you how to implement disaster recovery in a hybrid cloud environment.
Windows Server 2022: Migrate Servers and Workloads
How can you help your business migrate local Windows Server workloads to Microsoft Azure? This course teaches you everything you need to know to migrate the most common server roles and services to the cloud.
Windows Server 2022: Monitor and Troubleshoot Server Environments
How do you keep your Windows Server systems in tip-top shape on-premises and in the cloud? This course teaches you how to monitor and troubleshoot your servers in a Microsoft Azure hybrid cloud environment.
Winning Friends and Influencing People for Successful Data Governance
To be successful at Data Governance you need to invest a lot of effort in managing and influencing stakeholders in your organisation at all levels. In this session, Nicola will share tips to help you be successful in your Data Governance initiative.
Work with Data Warehouses using Azure Synapse Analytics
Relational data warehouses are at the heart of many business intelligence and enterprise analytics solutions. You can use Azure Synapse Analytics to implement highly scalable data warehouses in the cloud.
Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics
Hybrid Transactional and Analytical Processing (HTAP) is a technique for near real time analytics without a complex ETL solution. In Azure Synapse Analytics, HTAP is supported through Azure Synapse Link.
Work with MySQL Databases on Azure
Azure Database for MySQL is a fully managed database platform. In this learning path you'll find out how to manage and optimize Azure Database for MySQL. After completing this learning path, you'll be able to:
Working with Azure Databricks Programmatically
To carry out large-scale operations on Databricks, you'll need to develop apps or scripts which can interact with this big data service. This course looks into the Databricks CLI, its REST API, and the dbutils library to automate such interactions.
Working with Collections in Oracle PL/SQL
In this course, we will take an in-depth look at the collection types available in PL/SQL, namely Associative Arrays, Varrays, and Nested Tables. We'll also talk about the bulk fetch and collect features which greatly enhance the performance our PL/SQL code.
Working with Data in PowerShell
PowerShell is versatile and can work with common data structures such as JSON, XML, and CSV. PowerShell also provides cmdlets for interacting with web endpoints natively. This course will teach you the fundamentals of working with data in PowerShell.
Working with Hierarchies in SQL Server
In this course, you will learn to work with hierarchical data in SQL Server using hierarchyid. You will master techniques to create, query, optimize, and traverse hierarchies efficiently.