Advanced OLAP Optimization with Columnstore Indexes

Columnstore indexes provide an excellent solution to storing large analytic data in SQL Server. They can tame tables with millions or billions of rows with ease. Understanding their architecture, compression, and best practices can allow for significantly faster workloads while saving computing resources. This session dives into the details of how columnstore indexes work. Topics discussed will include: Columnstore encoding, optimization, and compression algorithms Segment and rowgroup elimination Optimization of secondary indexes Best practices for data load processes This is an advanced dive into columnstore indexes that will allow anyone interested in this technology to make the most of its features in SQL Server 2019+