Pro Hadoop Data Analytics: Designing and Building Big Data Systems using the Hadoop Ecosystem


Pro Hadoop Data Analytics: Designing and Building Big Data Systems using the Hadoop Ecosystem
by Kerry Koitzsch (Author)
pages 页数: 324 pages
Publisher Finelybook 出版社: Apress; 1st ed. edition (25 Jan. 2017)
Language 语言: English
ISBN-10 书号:1484219090
ISBN-13 书号:9781484219096

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 complete example system will be developed using standard third-party components which will consist of the toolkits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system.
The book emphasizes four important topics:

    The importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results.
    Best practices and structured design principles. This will include strategic topics as well as the how to example portions.
    The importance of mix-and-match or hybrid systems, using different analytical components in one application to accomplish application goals. The hybrid approach will be prominent in the examples.
    Use of existing third-party libraries is key to effective development. Deep dive examples of the functionality of some of these toolkits will be showcased as you develop the example system.

What You'll Learn 

    The what, why, and how of building big data analytic systems with the Hadoop ecosystem
    Libraries, toolkits, and algorithms to make development easier and more effective
    Best practices to use when building analytic systems with Hadoop, and metrics to measure performance and efficiency of components and systems
    How to connect to standard relational databases, noSQL data sources, and more
    Useful case studies and example components which assist you in creating your own systems

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