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Best Book Learning Spark: Lightning-Fast Big Data Analysis

Best Book Learning Spark: Lightning-Fast Big Data Analysis

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Product 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

  • Sales Rank: #2863 in Books
  • Published on: 2015-02-27
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.17" h x .58" w x 7.01" l, .0 pounds
  • Binding: Paperback
  • 276 pages

1449358624

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Learning Spark: Lightning-Fast Big Data Analysis WOW ... eBook Details: Paperback: 274 pages; Publisher: OReilly Media; 1st edition (February 22, 2015) Language: English; ISBN-10: 1449358624; ISBN-13: 978-1449358624 Is Apache Spark the Next Big Thing in Big Data? - Dice ... In any article or blog post, any mention of Big Data usually includes something about Hadoop. When it comes to Big Data, Apache Hadoop has been the big elephant in ... Spark and Shark: Lightning-Fast Analytics over Hadoop and ... Spark is an open source cluster computing framework that can outperform Hadoop by 30x through a combination of in-memory computation and a richer execution ... Review: Spark lights a fire under big data processing ... Apache Spark got its start in 2009 at UC Berkeleys AMPLab as a way to perform in-memory analytics on large data sets. At that time, Hadoop MapReduce was focused on ... Introduction to Big Data - Course 1250 - Learning Tree Introduction to Big Data Defining Big Data. The four dimensions of Big Data: volume, velocity, variety, veracity; Introducing the Storage, MapReduce and Query Stack Learning Spark - O'Reilly Media Python for Data Analysis; Machine Learning for Hackers; R Cookbook; R in a Nutshell, 2nd Edition; and 4 more > Get all 13 ebooks for a 60% savings. See the Full Kit Learning Spark: Lightning-Fast Big Data Analysis - BookDL Download Free: Learning Spark: Lightning-Fast Big Data Analysis - 978-1449358624 O'Reilly Media February 2015. Apache Spark - Wikipedia, the free encyclopedia Apache Spark is an open-source cluster computing framework originally developed in the AMPLab at UC Berkeley. In contrast to Hadoop's two-stage disk-based MapReduce ... - Learning Spark: Lightning-Fast Big Data Analysis ... Description: keywords:big data analysis tools,big data data mining,big data data mining,big data analysis techniques,big data sql server, Advanced Analytics with Spark: Patterns for Learning from ... Related Books. Elasticsearch: The Definitive Guide (Early Release) by Clinton Gormley; Learning Spark: Lightning-Fast Big Data Analysis by Holden Karau

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