Title Statements
- Full title :Learning Spark / Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia
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.
Read More ↓Edition Statements
- Publication Date:2015
- Edition:First edition
Publication Statements
- Publisher(s):O'Reilly
- Place of Publication:Beijing
- Language:eng
- Publication Date:2015
Notes
Subtitle on cover: Lightning-fast data analysis
Includes index
The Physical Object
- Description:xvi, 254 pages : : illustrations ; : 24 cm
Edition Identifiers
- ISBN:9781449358624, 1449358624
- oclc:ocn928686176
- LC Classification:QA76.9.D343
- Dewey Decimal:006.3 12
Table of 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
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