Spark: The Definitive Guide - Big Data Processing Made Simple

Author: Bill Chambers

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    All Indian Reprints of O'Reilly are printed in Grayscale

    Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.

    You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library.

    • Get a gentle overview of big data and Spark
    • Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples
    • Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames
    • Understand how Spark runs on a cluster
    • Debug, monitor, and tune Spark clusters and applications
    • Learn the power of Structured Streaming, Spark’s stream-processing engine
    • Learn how you can apply MLlib to a variety of problems, including classification or recommendation

     

    Books
    Author
    Bill Chambers
    Author
    Matei Zaharia
    Binding
    Paperback
    Condition Type
    New
    Country Origin
    India
    Edition
    First
    Gift Wrap
    N
    Leadtime to ship in days (default)
    ships in 1-2 days
    Pages
    604
    Publication Date
    15/04/2018
    Publisher
    Shroff/O'Reilly
    Year
    2018
    Dimensions
    Dimensions (W x H x D)
    7 x 9.125 x 1 inches

    Table of Contents (9789352137060_toc.pdf, 313 Kb) [Download]

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