Learn IT - Books tags pig

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

Apress, 2014

Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.

As Big Data Made Easy: A Working...

Capitalist Pigs: Pigs, Pork, and Power in America

West Virginia University Press, 2019

Pigs are everywhere in United States history. They cleared frontiers and built cities (notably Cincinnati, once known as Porkopolis), served as an early form of welfare, and were at the center of two nineteenth-century “pig wars.” American pork fed the hemisphere; lard literally greased the wheels of...

HDInsight Essentials

Packt Publishing, 2013

Tap your unstructured Big Data and empower your business using the Hadoop distribution from Windows

Overview

Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting

Build a multi-node Hadoop cluster on Windows servers

...

Hadoop Real World Solutions Cookbook

Packt Publishing, 2013

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

Solutions to common problems when working in the Hadoop...

The Complete Idiot's Guide to Grammar and Style, 2nd Edition

Alpha, 2003

The jokey, conversational style of the Complete Idiot's Guide series is better suited to some of its many subjects than to others, but for the Guide to Grammar and Style, it works. This book might not be appropriate for professional proofreaders in search of the definitive use of the en dash, but it is a solid, amusing volume for...

Field Guide to Hadoop: An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies

O'Reilly, 2015

If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections....

Hadoop MapReduce v2 Cookbook Second Edition

Packt Publishing, 2015

Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets

About This Book

Process large and complex datasets using next generation Hadoop

Install, configure, and administer MapReduce programs and learn what's new in MapReduce v2

More than 90...

Hadoop: The Definitive Guide

Yahoo Press, 2010

Discover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable, scalable, distributed systems with the Hadoop framework -- an open source implementation of MapReduce, the algorithm on which Google built its empire. Programmers will find details for analyzing...

Programming Pig

O'Reilly, 2011

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...

Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem

Apress, 2017

Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm,...

Hadoop: The Definitive Guide

O'Reilly, 2015

Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop...

Programming Elastic MapReduce: Using AWS Services to Build an End-to-End Application

O'Reilly, 2013

Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web...

Result Page: 3 2 1