Learning Spark / Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia.

Format:

Book

Author/Creator:

Karau, Holden, author.

Konwinski, Andy, author.

Wendell, Patrick, author.

Zaharia, Matei, author.

Contributor:

Class of 1932 Fund.

Language:

English

Subjects (All):

Spark (Electronic resource : Apache Software Foundation).

Big data.

Data mining--Computer programs.

Data mining.

Computer programs.

Physical Description:

xvi, 256 pages : illustrations ; 24 cm

Edition:

First edition.

Place of Publication:

Beijing ; Sebastopol : O'Reilly, [2015]

Summary:

This book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.-- Source other than Library of Congress.

Contents:

Introduction to data analysis with Spark

Downloading Spark and getting started

Programming with RDDs

Working with key/value pairs

Loading and saving your data

Advanced Spark programming

Running on a cluster

Tuning and debugging Spark

Spark SQL

Spark streaming

Machine learning with MLlib.

Notes:

Subtitle on cover: Lightning-fast data analysis.

Includes index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Class of 1932 Fund.

ISBN:

1449358624

9781449358624

OCLC:

844872440

Publisher Number:

99964949884