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Spark: The Definitive Guide: Big Data Processing Made Simple


Huge Savings Item! Save 20% on the Spark: The Definitive Guide: Big Data Processing Made Simple by O'Reilly Media at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing


Product Description

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

Additional Information

Manufacturer:O'Reilly Media
Publisher:O'Reilly Media
Studio:O'Reilly Media
EAN:9781491912218
Item Size:1.2 x 9.1 x 9.1 inches
Package Weight:2.07 pounds
Package Size:7.01 x 1.3 x 1.3 inches

Spark: The Definitive Guide: Big Data Processing Made Simple by O'Reilly Media

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Spark: The Definitive Guide: Big Data Processing Made Simple

Brand: O'Reilly Media
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