June 2020
Intermediate to advanced
576 pages
15h 41m
English
Content preview from Spark in Action, Second Edition
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3. The majestic role of the dataframe
This chapter covers
- Using the dataframe
- The essential (majestic) role of the dataframe in Spark
- Understanding data immutability
- Quickly debugging a dataframe’s schema
- Understanding the lower-level storage in RDDs
In this chapter, you will learn about using the dataframe. You’ll learn that the dataframe is so important in a Spark application because it contains typed data through a schema and offers a powerful API.
As you saw in previous chapters, Spark is a marvelous distributed analytics engine. Wikipedia defines an operating system ( OS ) as “system software that manages computer hardware [and] software resources, and provides common services for computer programs.” In chapter 1, I even qualify Spark ...
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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.
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.