March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Big Data Cleaning and Wrangling with Spark Notebooks
In this chapter, we will learn about big data cleaning and wrangling with Spark Notebooks. We will also look at how using Spark on a Notebook application allows us to use RDDs effectively. We will use Spark Notebooks for quick iteration of ideas and carry out sampling/filtering RDDs to pick out relevant data points. We will also learn how to split datasets and create new combinations with set operations.
In this chapter, we will discuss the following topics:
- Using Spark Notebooks for quick iteration of ideas
- Sampling/filtering RDDs to pick out relevant data points
- Splitting datasets and creating some new combinations
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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.