Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Spark: The Definitive Guide: Big Data Processing Made Simple

Spark: The Definitive Guide: Big Data Processing Made Simple

Chambers, Bill
Zaharia, Matei

Paperback

DatabasesGeneral Computers

ISBN10: 1491912219
ISBN13: 9781491912218
Publisher: O'Reilly Media
Published: Apr 3 2018
Pages: 603
Weight: 2.00
Height: 1.20 Width: 6.90 Depth: 9.10
Language: English

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.

Youâ ll explore the basic operations and common functions of Sparkâ 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, Sparkâ s scalable machine-learning library.

  • Get a gentle overview of big data and Spark
  • Learn about DataFrames, SQL, and Datasetsâ Sparkâ s core APIsâ through worked examples
  • Dive into Sparkâ 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, Sparkâ s stream-processing engine
  • Learn how you can apply MLlib to a variety of problems, including classification or recommendation

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