Spark in Action
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Spark in Action
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Narrado por:
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Kyle Jackson
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Mark Thomas
Acerca de esta escucha
Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. You'll get comfortable with the Spark CLI as you work through a few introductory examples. Then, you'll start programming Spark using its core APIs. Along the way, you'll work with structured data using Spark SQL, process near-real-time streaming data, apply machine learning algorithms, and munge graph data using Spark GraphX. For a zero-effort startup, you can download the preconfigured virtual machine ready for you to try the book's code. Fully updated for Spark 2.0.
Big data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. Spark can help. It is a processing system designed specifically for distributed data. It provides easy-to-use interfaces, along with the performance you need for production-quality analytics and machine learning. Spark 2 also adds improved programming APIs, better performance, and countless other upgrades.
Created for experienced programmers with some background in big data or machine learning. Petar Zecevic and Marko Bonaci are seasoned developers heavily involved in the Spark community.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2016 Manning Publications (P)2016 Manning PublicationsLos oyentes también disfrutaron...
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Lo que los oyentes dicen sobre Spark in Action
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- 07-02-24
Talks about indeterminate figures
There’s usually no way to determine which figure in the pdf the narrator is talking about. Sometimes the narrator references visuals that aren’t in the pdf. Chapters in the audible table of contents don’t correspond to chapters in the book or chapters in the pdf, making it hard to follow along.
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