February 2016
Beginner to intermediate
326 pages
7h 46m
English
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Chapter 8. SQL Query Engine for Spark – Spark SQL
Enabling easy access to data and empowering users to perform quick/fast analysis and take informed decision is the key objective for all modern enterprises.
Interactive analytics using Structured Query Language (SQL) (https://en.wikipedia.org/wiki/SQL) is one such option that has always helped to achieve this critical objective of enterprises. It's needless to mention that SQL has always been a preferred language for analysts because of its several advantages (http://www.moreprocess.com/database/sql/pros-advantages-of-sql-structured-query-language), but with the emergence of Big Data it was difficult to continue using SQL over RDBMS for interactive analytics. There was an urgent need for a framework ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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