Big Data Glossary

Big Data Glossary

To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment. This handy…

Big Data Now

Big Data Now

This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year…

HBase: The Definitive Guide

HBase: The Definitive Guide

If you’re looking for a scalable storage solution to accommodate a virtually endless amount of data, this book shows you how Apache HBase can fulfill your needs. As the open source implementation of Google’s BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring…

Learning SPARQL

Learning SPARQL

Get hands-on experience with SPARQL, the RDF query language that’s become a key component of the semantic web. With this concise book, you will learn how to use the latest version of this W3C standard to retrieve and manipulate the increasing amount of public and private data available…

Programming Pig

Programming Pig

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…

Tika in Action

Tika in Action

Tika in Action is the ultimate guide to content mining using Apache Tika. You’ll learn how to pull usable information from otherwise inaccessible sources, including internet media and file archives. This example-rich book teaches you to build and extend applications based on real-world experience with search engines, digital…

Data-Intensive Text Processing with MapReduce

Data-Intensive Text Processing with MapReduce

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial…

Hadoop: The Definitive Guide, 2nd Edition

Hadoop: The Definitive Guide, 2nd Edition

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…

Pro Hadoop

Pro Hadoop

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. But what exactly is…