March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Putting Structure on Your Big Data with SparkSQL
In this chapter, we'll learn how to manipulate DataFrames with Spark SQL schemas, and use the Spark DSL to build queries for structured data operations. By now we have already learned to get big data into the Spark Environment using RDDs and carried out multiple operations on that big data. Let us now look that how to manipulate our DataFrames and build queries for structured data operations.
In particular, we will cover the following topics:
- Manipulating DataFrames with Spark SQL schemas
- Using Spark DSL to build queries
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.