Learn IT - Books tags mapreduce

HBase in Action

Manning Publications, 2012

I got my start with HBase in the fall of 2008. It was a young project then, released only in the preceding year. As early releases go, it was quite capable, although not without its fair share of embarrassing warts. Not bad for an Apache subproject with fewer than 10 active committers to its name! That was the height of the NoSQL...

Principles of Distributed Database Systems

Springer, 2019

The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF...

Hadoop in Action

Manning Publications, 2010

Hadoop in Action teaches readers how to use Hadoop and write MapReduce programs. The intended readers are programmers, architects, and project managers who have to process large amounts of data offline. Hadoop in Action will lead the reader from obtaining a copy of Hadoop to setting it up in a cluster and writing data...

Pentaho for Big Data Analytics

Packt Publishing, 2013

With your knowledge of Java and this guide, you can take the analysis of your big data to new levels using Pentaho. Covers all the essentials tools, techniques, tips, and tricks in one handy volume.

Overview

A guide to using Pentaho Business Analytics for big data analysis

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Pro Hadoop

Apress, 2009

You’ve heard the hype about Hadoop: it runs petabyte–scale data mining tasks insanely fast, it runs gigantic tasks on clouds for absurdly cheap, it’s been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it’s completely open source (thus free). But what exactly is it, and more...

Raspberry Pi Super Cluster

Packt Publishing, 2013

As a Raspberry Pi enthusiast have you ever considered increasing their performance with parallel computing? Discover just how easy it can be with the right help - this guide takes you through the process from start to finish.

Overview

Learn about parallel computing by building your own system using...

Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2

Addison Wesley, 2014

“This book is a critically needed resource for the newly released Apache Hadoop 2.0, highlighting YARN as the significant breakthrough that broadens Hadoop beyond the MapReduce paradigm.”
—From the Foreword by Raymie Stata, CEO of Altiscale

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Beginning Apache Pig: Big Data Processing Made Easy

Apress, 2016

Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively little time to develop big data...

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