Learn advanced analytical techniques and leverage existing toolkits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems which go beyond the basics of classification, clustering, and recommendation. In Pro Hadoop Data Analytics best practices are emphasized to ensure coherent, efficient development. A git contribution will be provided as an end-to-end example of the techniques described in the book.
The book emphasizes four important topics:
A complete example system will be developed using standard third-party components, to be submitted to git, which will consist of the toolkits, libraries, visualization and reporting code, and support glue to provide a working and extensible end-to-end system.
Effective data analytics, particularly when the data is complex, high-volume, or unstructured, is particularly challenging. Distributed solutions have recently become available—but the ability to build end-to-end analytical systems using Hadoop and its ecosystem has remained extremely challenging.
What You'll Learn
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