March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Summary
In this chapter, we looked at Spark Notebooks for quick iterations. We then used sampling or filtering to pick out relevant data points. We also learned how to split datasets and create new combinations with set operations.
In the next chapter, we will cover aggregating and summarizing data into useful reports.
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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.