Learning Spark: Lightning-Fast big Data Analysis [Audiobook] download free by Holden Karau

Learning Spark: Lightning-Fast big Data Analysis Audiobook download free by Holden Karau
  • Listen audiobook: Learning Spark: Lightning-Fast big Data Analysis
  • Author: Holden Karau
  • Release date: 2015/1/31
  • Publisher: O'REILLY MEDIA, INC, USA
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9781449358624
  • Rating: 9.22 of 10
  • Votes: 891
  • Review by: Breanna Biddle
  • Review rating: 9.92 of 10
  • Review Date: 2018/11/5
  • Duration: 3H28M35S in 256 kbps (54.8 MB)
  • Date of creation of the audiobook: 2018-08-12
  • You can listen to this audiobook in formats: WAV, FLAC, MP3, WMA Lossless, MPEG4, WMA, AC3 (compression ZIP, RAR, TZO, TAR, ACE)
  • Total pages original book: 274
  • Includes a PDF summary of 31 pages
  • Duration of the summary (audio): 23M51S (6.2 MB)
  • Description or summary of the audiobook: Data in all domains is getting bigger. How can you work with it efficiently? 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. 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
  • Other categories, genre or collection: Web Programming, Computer Science, Database Design & Theory, Business Applications, Enterprise Software
  • Download servers: Microsoft OneDrive, Tresorit, Mediafire, FileServe, FreakShare, MEGA, FilePup.net. Compressed in ZIP, RAR, TZO, TAR, ACE
  • Format: Paperback
  • Approximate value: 32.57 USD
  • Dimensions: 178x233x14.73mm
  • Weight: 445.43g
  • Printed by: Not Available
  • Published in: Sebastopol, United States

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