February 2017
Intermediate to advanced
274 pages
5h 58m
English
Content preview from Learning PySpark
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Spark 2.0 architecture
The introduction of Apache Spark 2.0 is the recent major release of the Apache Spark project based on the key learnings from the last two years of development of the platform:
Source: Apache Spark 2.0: Faster, Easier, and Smarter http://bit.ly/2ap7qd5
The three overriding themes of the Apache Spark 2.0 release surround performance enhancements (via Tungsten Phase 2), the introduction of structured streaming, and unifying Datasets and DataFrames. We will describe the Datasets as they are part of Spark 2.0 even though they are currently only available in Scala and Java.
Note
Refer to the following presentations by key Spark committers ...
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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.