February 2017
Intermediate to advanced
274 pages
5h 58m
English
Content preview from Learning PySparkBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
In this chapter, we reviewed what is Apache Spark and provided a primer on Spark Jobs and APIs. We also provided a primer on Resilient Distributed Datasets (RDDs), DataFrames, and Datasets; we will dive further into RDDs and DataFrames in subsequent chapters. We also discussed how DataFrames can provide faster query performance in Apache Spark due to the Spark SQL Engine's Catalyst Optimizer and Project Tungsten. Finally, we also provided a high-level overview of the Spark 2.0 architecture including the Tungsten Phase 2, Structured Streaming, and Unifying DataFrames and Datasets.
In the next chapter, we will cover one of the fundamental data structures in Spark: The Resilient Distributed Datasets, or RDDs. We will show you how to create ...
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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.