September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Summary
Users of Spark have three different APIs to interact with distributed collections of data: the RDD API, the DataFrames API, and the new Dataset API. Traditional RDD APIs provide type safety and powerful lambda functions but not optimized performance. The Dataset API and the DataFrame API provide easier ways to work with domain-specific language and provide superior performance over RDDs. The Dataset API combines both RDDs and DataFrames. Users have a choice to work with RDDs, DataFrames, or Datasets depending on their needs. But, in general, DataFrame or Dataset are preferred over conventional RDDs for better performance. Spark SQL uses a catalyst optimizer under the hood to provide optimization.
Dataset/DataFrame APIs provide optimization, ...
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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.