by O'Reilly Media Team
The Big Data Now anthology is relevant to anyone who creates, collects or relies upon data. It's not just a technical book or just a business guide. Data is ubiquitous and it doesn't pay much attention to borders, so we've calibrated our coverage to follow it wherever it goes.In the first edition of Big Data Now, the O'Reilly team tracked the birth and early development of data tools and...
Publisher: O'Reilly Media | Release: 2012
by Mark Pollack, Oliver Gierke, Thomas Risberg, Jon Brisbin, Michael Hunger
You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop.Through several sample projects, you'll learn how Spring Data provides a cons...
Price: $24.99 | Publisher: O'Reilly Media | Release: 2012
by Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi
Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete real-world scenario, you'll learn how to build fast, fault-tolerant solutions that process results as so...
Price: $16.99 | Publisher: O'Reilly Media | Release: 2012
by Donald Miner, Adam Shook
Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you're using.Each pattern is explained in context, with pitfalls and caveats clearly identified to he...
Price: $19.90 | Publisher: O'Reilly Media | Release: 2012
by Nick Dimiduk, Amandeep Khurana
HBase is a NoSQL storage system designed for fast, random access to large volumes of data. It runs on commodity hardware and scales smoothly from modest datasets to billions of rows and millions of columns.HBase in Action is an experience-driven guide that shows you how to design, build, and run applications using HBase. First, it introduces you to the fundamentals of handling big data. Then, you'll ex...
Price: $8.99 | Publisher: Manning | Release: 2012
by Q. Ethan McCallum, Stephen Weston
It's tough to argue with R as a high-quality, cross-platform, open source statistical software product - unless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You'll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they wor...
Price: $19.99 | Publisher: O'Reilly Media | Release: 2011
Functional Programming for Java Developers 
by Dean Wampler
Software development today is embracing functional programming (FP), whether it's for writing concurrent programs or for managing Big Data. Where does that leave Java developers? This concise book offers a pragmatic, approachable introduction to FP for Java developers or anyone who uses an object-oriented language.Dean Wampler, Java expert and author of Programming Scala (O'Reilly), shows you how ...
Price: $10.99 | Publisher: O'Reilly Media | Release: 2011
by Pete Warden
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 glossary also includes a chapter of key terms that help define many of these tool categories...
Price: $14.99 | Publisher: O'Reilly Media | Release: 2011
by O'Reilly Radar Team
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 later, we can look back over all we've covered and identify a number of...
Publisher: O'Reilly Media | Release: 2011