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Learning Spark

By Holden Karau

Learning Spark Computer Science

Learning Spark

Only 1 item left in stock
Description
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. * Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell * Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib * Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm * Learn how to deploy interactive, batch, and streaming applications * Connect to data sources including HDFS, Hive, JSON, and S3 * Master advanced topics like data partitioning and shared variables
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
274
Release Date:
2015-03-16
Publication Date:
2015-11-30
Publisher:
O'Reilly Media
Languages:
Original: English
ISBN10:
1449358624
ISBN13:
9781449358624
Weight:
488 g
Height:
179 cm
Width:
231 cm
Thickness:
17 cm

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Very good
Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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