Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.
%0 Book
%1 KarauKonwinskiEtAl15
%A Karau, Holden
%A Konwinski, Andy
%A Wendell, Patrick
%A Zaharia, Matei
%C Beijing
%D 2015
%I O'Reilly
%K 01841 103 book safari apache ai software development data pattern recognition analysis middleware learn zzz.big
%T Learning Spark
%U https://www.safaribooksonline.com/library/view/learning-spark/9781449359034/
%X Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.
%@ 978-1-4493-5862-4
@book{KarauKonwinskiEtAl15,
abstract = {Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.},
added-at = {2017-04-30T14:16:15.000+0200},
address = {Beijing},
author = {Karau, Holden and Konwinski, Andy and Wendell, Patrick and Zaharia, Matei},
biburl = {https://www.bibsonomy.org/bibtex/2a1903b40c283e7113ec008f9b5c27f6c/flint63},
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isbn = {978-1-4493-5862-4},
keywords = {01841 103 book safari apache ai software development data pattern recognition analysis middleware learn zzz.big},
publisher = {O'Reilly},
timestamp = {2018-04-16T11:46:48.000+0200},
title = {Learning Spark},
url = {https://www.safaribooksonline.com/library/view/learning-spark/9781449359034/},
username = {flint63},
year = 2015
}