SQL views make accessing multiple data types and storing complex queries easier whereas materialized views can help you improve efficiency and boost performance.

Spark SQL: Apache’s Spark project is for real-time, in-memory, parallelized processing of Hadoop data. Spark SQL builds on top of it to allow SQL queries to be written against data.

Probably for a query that your application runs occasionally, in-memory processing of JSON data might still be an option. In general, though, querying through JSON-dedicated functions and letting SQL ...

If you find yourself taking the same subset of data from a big table and running smaller queries against it, you can speed things up for yourself and others by persisting the subset elsewhere, and ...

does not take up any space in the database. In fact, a view really doesn’t do anything until you query it. Indexed views In SQL Server 2000 and 2005, you have the ability to add indexes to views.

One of the most common problems when running SQL Servers is slow queries. The help desk or database team usually hears that described as the application is slow or the database is slow. In the ...

Denny's SQL Secrets Troubleshoot Slow-Running Queries In SQL Server Denny breaks down how to identify and fix speed issues in multiple versions of SQL Server. By Denny Cherry 12/11/2013 ...