June 2020
Intermediate to advanced
576 pages
15h 41m
English
Content preview from Spark in Action, Second Edition
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12 Transforming your data
This chapter covers
- Learning the data transformation process
- Performing record-level data transformation
- Learning data discovery and data mapping
- Implementing a data transformation process on a real-world dataset
- Verifying the result of data transformations
- Joining datasets to get richer data and insights
This chapter is probably the cornerstone of the book. All the knowledge you gathered through the first 11 chapters has brought you to these key questions: “Once I have all this data, how can I transform it, and what can I do with it?”
Apache Spark is all about data transformation, but what precisely is data transformation? How can you perform such transformations in a repeatable and procedural way? Think of it as ...
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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.