Fast Data Processing with Spark 2, 3rd Edition.pdf下载

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Fast Data Processing with Spark 2, 3rd Edition

Learn how to use Spark to process Big Data at speed and scale for sharper analytics. Put the principles into practice for a faster, slicker Big Data projects

Fast Data Processing with Spark 2, 3rd Edition
Author:
Holden Karau, Kris
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Security Software Fast Data Processing with Spark 2, 3rd Edition Learn how to use Spark to process Big Data at speed and scale for sharper analytics. Put the principles into practice for a faster, slicker Big Data projects Fast Data Processing with Spark 2, 3rd Edition Author: Holden Karau, Krishna Sankar Isbn: 1785889273 Year: 2017 Pages: 224 Language: English File size: 32.1 MB File format: PDF Category: Web Development Book Description: When people want a way to process Big Data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it’s unsurprising that it’s becoming popular with data analysts and engineers everywhere. Beginning with the fundamentals, we’ll show you how to get set up with Spark with minimum fuss. You’ll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we’ll make sure you know exactly how to apply your knowledge. You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that’s not enough, you’ll also learn some useful Machine Learning algorithms with the help of Spark MLib and integrating Spark with R. We’ll also make sure you’re confident and prepared for graph processing, as you learn more about the GraphX API. What You Will Learn Install and set up Spark in your cluster Prototype distributed applications with Spark’s interactive shell Perform data wrangling using the new DataFrame APIs Get to know the different ways to interact with Spark’s distributed representation of data (RDDs) Query Spark with a SQL-like query syntax See how Spark works with Big Data Implement machine learning systems with highly scalable algorithms Use R, the popular statistical language, to work with Spark Apply interesting graph algorithms and graph processing with GraphX

Fast Data Processing With Spark (3rd Edition) PDF

Fast Data Processing with Spark 2(3rd) 英文mobi 第3版本资源转载自网络，如有侵权，请联系上传者或csdn删除本资源转载自网络，如有侵权，请联系上传者或csdn删除

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[b]Hadoop.The.Definitive.Guide.2nd.Edition 第二版[/b] Hadoop：The.Definitive.Guide(3rd,Early.Release).Tom.White Hadoop: The Definitive Guide, 4th Edition http://www.iteblog.com/archives/1417 htt...

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