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.

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.

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.

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.

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:

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.

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.

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.

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.

Snowflake offers full support for semi-structured data. This course will teach you how to apply schema on read, loading, and writing to semi-structured file formats, working with the variant data type to interpret semi-structured fields and more.

Nothing beats the experience of writing your own Puppet modules from scratch. In this course, you will learn how to setup Puppet Enterprise, use the Puppet console, write simple RSpec tests, and deploy your modules to the Forge.

Hive is a data warehouse that runs on top of the Hadoop distributed computing framework. It works on huge datasets, so this course is useful for understanding its features so you can write efficient, fast, and optimal queries.