Programming Pig / Alan Gates.
Material type:
TextPublication details: Sebastopol, CA : Oreilly & Associates Inc 2011.Description: xiv, 203 p. : ill. ; 24 cmISBN: - 9781449302641 (pbk.)
- 1449302645 (pbk.)
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| Standard Loan | Thurles Library Main Collection | 005.7565 GAT (Browse shelf(Opens below)) | Available | 30026000068121 |
Enhanced descriptions from Syndetics:
This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application--making it easy for you to experiment with new datasets.
Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig.
Delve into Pig's data model, including scalar and complex data types Write Pig Latin scripts to sort, group, join, project, and filter your data Use Grunt to work with the Hadoop Distributed File System (HDFS) Build complex data processing pipelines with Pig's macros and modularity features Embed Pig Latin in Python for iterative processing and other advanced tasks Create your own load and store functions to handle data formats and storage mechanisms Get performance tips for running scripts on Hadoop clusters in less timeIncludes index.
Dataflow scripting with hadoop--cover.
Includes bibliographical references and index.
Table of Contents; Preface; Data Addiction; Who Should Read This Book; Conventions Used in This Book; Code Examples in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments; Chapter 1. Introduction; What Is Pig?; Pig on Hadoop; MapReduce\'s hello world; Pig Latin, a Parallel Dataflow Language; Comparing query and dataflow languages; How Pig differs from MapReduce; What Is Pig Useful For?; Pig Philosophy; Pig\'s History; Chapter 2. Installing and Running Pig; Downloading and Installing Pig; Downloading the Pig Package from Apache; Downloading Pig from Cloudera
Author notes provided by Syndetics
Alan is an original member of the engineering team that took Pig from a Yahoo! Labs research project to a successful Apache open source project. In this role he oversaw the implementation of the language, including programming interfaces and the overall design. He has presented Pig at numerous conferences and user groups, universities, and companies. Alan is a member of the Apache Software Foundation and a co-founder of Hortonworks. He has a BS in Mathematics from Oregon State University and a MA in Theology from Fuller Theological Seminary.