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Spark: The Definitive Guide - Big Data Processing Made Simple

MRP: Rs.1,600.00
Price in points: 1600 points
9789352137060
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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:
Matei Zaharia
Author 2:
Bill Chambers
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Lead time to ship in days (if not in stock):
15
Leadtime to ship in days (default):
1 - 2
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]