Abstract

Managing and moving data efficiently requires a reliable system for detecting changes, and in some cases, for tracking the history of those changes. For data stored in SQL Server, there are two easy-to-use methods for this: change tracking and temporal tables. In this session, we'll take a look at SQL Server change tracking and SQL Server temporal tables. We'll cover the basics of each of these and will review some ideal use cases for each. We'll go through several demos to show how these can be used through normal T-SQL operations as well as ETL tools such as SSIS.

Speaker Bio

Tim Mitchell is a business intelligence architect, author, and trainer. He has been building data solutions for over 17 years, specializing in data warehousing, ETL/SSIS, and reporting. He holds a bachelor’s degree in Computer Science from Texas A&M at Commerce and has been recognized as a Microsoft Data Platform MVP each year since 2010. Tim is the founder and principal data architect at Tyleris Data Solutions, a consulting firm focused on delivering on-premises and cloud-based solutions on the Microsoft data platform.