 Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as... |  | Deploying Node.js
Learn how to build, test, deploy, monitor, and maintain your Node.js applications at scale
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Gain comprehensive information on scaling Node.js both vertically and horizontally in the cloud and across virtual machines
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Learn how to use Gulp, Mocha, Chai, PhantomJS, Git,...
| | Elasticsearch Blueprints
A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch
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Discover the power of Elasticsearch by implementing it in a variety of real-world scenarios such as restaurant and e-commerce search
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Discover...
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