Process big data with Big SQL in InfoSphere BigInsights

Run complex queries on non-tabular data and query it with a SQL-like language

From the developerWorks archives

Martin Brown

Date archived: January 13, 2017 | First published: December 03, 2013

SQL is a practical querying language, but is has limitations. Big SQL enables you to run complex queries on non-tabular data and query it with an SQL-like language. The difference with Big SQL is that you are accessing data that may be non-tabular, and may in fact not be based upon a typical SQL database structure. Using Big SQL, you can import and process large volume data sets, including by taking the processed output of other processing jobs within InfoSphere BigInsights™ to turn that information into easily query-able data. In this article, we look at how you can replace your existing infrastructure and queries with Big SQL, and how to take more complex queries and convert them to make use of your Big SQL environment.

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