Analytic data, by its nature, can be large and challenging to maintain and can grow quickly over time. Similarly, its use increases with time as analysts and data scientists find more ways to crunch it. There is a great convenience to having analytic data in close proximity to its underlying transactional sources. Utility is also gained by choosing a location for analytic data that can withstand the test of time, thus avoiding the need for ...
1. Introduction to Analytic Data in a Transactional Database
Get Analytics Optimization with Columnstore Indexes in Microsoft SQL Server: Optimizing OLAP Workloads now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.