Read Spark: The Definitive Guide: Big Data Processing Made Simple

Spark: The Definitive Guide: Big Data Processing Made Simple

Unknown Author

4.9/5 (22803 ratings)

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 SparkLearn about DataFrames, SQL, and Datasets--Spark's core APIs--through worked examplesDive into Spark's 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, Spark's stream-processing engineLearn how you can apply MLlib to a variety of problems, including classification or recommendationWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Spark: The Definitive Guide: Big Data Processing Made Simple. To get started finding Spark: The Definitive Guide: Big Data Processing Made Simple, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 606

Format: PDF, EPUB & Kindle Edition

Publisher: O'Reilly Media

Release: 2018

ISBN: 1491912294

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 SparkLearn about DataFrames, SQL, and Datasets--Spark's core APIs--through worked examplesDive into Spark's 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, Spark's stream-processing engineLearn how you can apply MLlib to a variety of problems, including classification or recommendationWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Spark: The Definitive Guide: Big Data Processing Made Simple. To get started finding Spark: The Definitive Guide: Big Data Processing Made Simple, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Spark: The Definitive Guide: Big Data Processing Made Simple

Spark: The Definitive Guide: Big Data Processing Made Simple

More Books