Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.

This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.

Implement SQL Server-based options for authentication and authorization, as well as Azure options for securing Azure SQL databases. Explore encryption, firewalls and advanced threat protection.

This learning path takes analysts through visualizing data in Power BI. You'll learn about visuals in Power BI reports, using Power BI to visualize real-time data, and visualizing data in paginated reports. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

Learn how to work with Azure Arc enabled servers, data services and Kubernetes.

Azure Synapse Link for SQL enables low-latency synchronization of operational data in a relational database to Azure Synapse Analytics.

Explore data classification capabilities and degrees of confidentiality. Implement security options to maintain private data safe, including Azure SQL auditing, Microsoft Defender for SQL, row-level security, Dynamic Data Masking and Azure SQL Database Ledger.

Transact-SQL is a powerful declarative language that lets you explore and manipulate your database. As the complexity of your programs increase, so does the risk of errors occurring.

In this learning path, the student is exposed to various ways to:

Row-level security (RLS) allows you to create a single or a set of reports that targets data for a specific user. In this module, you'll learn how to implement RLS by using either a static or dynamic method and how Microsoft Power BI simplifies testing RLS in Power BI Desktop and Power BI service.

Learn how to construct transactions to control the behavior of multiple Transact-SQL statements. You'll learn how to determine whether an error has occurred, and when to roll back statements.

Charts allow any audience to understand a topic and quickly make decisions. This course will teach you how to use chart elements to your advantage while creating visualizations based on various types of data.