Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and...

• Understand the principles of Bayesian Inference with less mathematical equations
• Learn state-of-the art Machine Learning methods
• Familiarize...

Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Data Science For Dummies is the perfect starting point for IT professionals...

• Explore how to analyze your data in various innovative ways and turn them into insight
• Learn to use the D3.js visualization tool for exploratory data analysis
• ...

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

Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been...

• A step-by-step guide that explains how to use Mongoid through lots of examples and code
• ...

• 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...

• Step-by-step guidance to get you started with Impala on your Hadoop cluster
• Manipulate your data rapidly by writing proper SQL statements
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