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

Today's enterprise architects need to understand how the Hadoop frameworks and APIs fit together, and how they can be integrated to deliver real-world solutions. This book is a practical, detailed guide to building and implementing those solutions, with...

MongoDB is an open source, non-relational database system designed to meet the needs of modern Web 2.0 applications. It is currently being used by some of the most popular websites in the world. This book introduces MongoDB to the web developer who has some background building web applications using PHP. This book teaches what MongoDB...

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...

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by...

Let Hadoop For Dummies help harness the power of your data and rein in the information overload

Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this...

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
• ...

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...

• 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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