Programming Pig (e-bog) af Dai, Daniel
Dai, Daniel (forfatter)

Programming Pig e-bog

223,05 DKK (inkl. moms 278,81 DKK)
For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can batch-process data without having to create a full-fledged application, making it easy to experiment with new datasets.Updated with use cases and programming examples, this second edition is the idea...
E-bog 223,05 DKK
Forfattere Dai, Daniel (forfatter)
Udgivet 9 november 2016
Længde 368 sider
Genrer Computer programming / software engineering
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781491937068
For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can batch-process data without having to create a full-fledged application, making it easy to experiment with new datasets.Updated with use cases and programming examples, this second edition is the ideal learning tool for new and experienced users alike. Youll find comprehensive coverage on key features such as the Pig Latin scripting language and the Grunt shell. When you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig.Delve into Pigs data model, including scalar and complex data typesWrite Pig Latin scripts to sort, group, join, project, and filter your dataUse Grunt to work with the Hadoop Distributed File System (HDFS)Build complex data processing pipelines with Pigs macros and modularity featuresEmbed Pig Latin in Python for iterative processing and other advanced tasksUse Pig with Apache Tez to build high-performance batch and interactive data processing applicationsCreate your own load and store functions to handle data formats and storage mechanisms