Data Partitioning for Database Architects and Mere Mortals
Application & Database Development
Data partitioning is an essential technique that simplifies database administration tasks, improves system availability and reduces the cost of the solution. Contrary to popular belief, data partitioning is not limited to partitioned tables and the Enterprise Edition of SQL Server.
This session demonstrates the data partitioning techniques available in the various editions of SQL Server. It discusses benefits, downsides and the best use-cases for partition tables, local and distributed partitioned views and stretch databases. The session will also demonstrate how data partitioning helps boost performance of systems handling a mixed workload, improves cardinality estimations with large tables, and reduces the system’s storage cost.
Finally, the session provides a set of guidelines on how to split the data between relational and non-relational storages in OLTP and IoT systems hosted in the Cloud.
The audience needs to know how SQL Server stores data; be familiar with views, constraints and linked servers and be able to read execution plans.
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