menu
{ "item_title" : "Spark", "item_author" : [" Bill Chambers", "Matei Zaharia "], "item_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.Youll explore the basic operations and common functions of Sparks 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, Sparks scalable machine-learning library.Get a gentle overview of big data and SparkLearn about DataFrames, SQL, and DatasetsSparks core APIsthrough worked examplesDive into Sparks low-level APIs, RDDs, and execution of SQL and DataFramesUnderstand how Spark runs on a clusterDebug, monitor, and tune Spark clusters and applicationsLearn the power of Structured Streaming, Sparks stream-processing engineLearn how you can apply MLlib to a variety of problems, including classification or recommendation", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/49/191/221/1491912219_b.jpg", "price_data" : { "retail_price" : "69.99", "online_price" : "69.99", "our_price" : "69.99", "club_price" : "69.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Spark|Bill Chambers

Spark : The Definitive Guide: Big Data Processing Made Simple

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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

This item is Non-Returnable

Details

  • ISBN-13: 9781491912218
  • ISBN-10: 1491912219
  • Publisher: O'Reilly Media
  • Publish Date: April 2018
  • Dimensions: 9.1 x 6.9 x 1.2 inches
  • Shipping Weight: 2 pounds
  • Page Count: 603

Related Categories

You May Also Like...

    1

BAM Customer Reviews