Query Non-traditional Data with T-SQL

Modern SQL Server applications frequently handle data that doesn't conform to traditional relational structures. This includes formats like JSON documents, historical audit trails, delimited lists, and external CSV files. Effectively querying and transforming this diverse data with T-SQL demands specialized expertise.

In the course, Query Non-traditional Data with T-SQL, you'll gain the confidence to work with flexible, semi-structured, and evolving datasets—all within SQL Server.

Here's what you'll master:

• Ingesting Semi-structured Data: Learn to efficiently bring in JSON, CSV, and other semi-structured files using built-in T-SQL tools.
• Data Extraction & Transformation: Discover how to extract and transform embedded data – including arrays, key-value structures, and delimited values – into a usable relational format.
• Temporal Data Analysis: Analyze data changes over time using temporal tables. Reconstruct point-in-time state and effectively recover deleted information.

By the end of this course, you'll possess the essential skills and knowledge to query non-traditional data in SQL Server. This empowers you to support modern applications, reporting systems, and real-world data pipelines—all leveraging the power of Transact SQL on SQL Server.