Overview
- Provides useful code examples of real-world situations and solutions to common problems
- Provides an end-to-end example solution which can be expanded upon by the reader
- Gives extensive case studies and application examples from a variety of domains and problem areas
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Table of contents (16 chapters)
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Front Matter
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Architectures and Algorithms
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Front Matter
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Components and Systems
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Front Matter
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Case Studies and Applications
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Front Matter
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Keywords
About this book
Learn advanced analytical techniques and leverage existing tool kits 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 that go beyond the basics of classification, clustering, and recommendation.
Pro Hadoop Data Analytics emphasizes best practices to ensure coherent, efficient development. A complete example system will be developed using standard third-party components that consist of the tool kits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system.
The book also highlights the importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results. You'll discover the importance of mix-and-match or hybrid systems, using different analytical components in one application. This hybrid approach will be prominent in the examples.
What You'll Learn
- Build big data analytic systems with the Hadoop ecosystem
- Use libraries, tool kits, and algorithms to make development easier and more effective
- Apply metrics to measure performance and efficiency of components and systems
- Connect to standard relational databases, noSQL data sources, and more
- Follow case studies with example components to create your own systems
Software engineers, architects, and data scientists with an interest in the design and implementation of big data analytical systems using Hadoop, the Hadoop ecosystem, and other associated technologies.
Authors and Affiliations
About the author
Kerry was educated at Interlochen Arts Academy, MIT, and the San Francisco Conservatory of Music. He served in the United States Army and United States Army Reserve, and is the recipient of the United States Army Achievement Medal. He has been a software engineer specializing in computer vision, machine learning, and database technologies for 30 years, and currently lives and works in Sunnyvale, California.
Bibliographic Information
Book Title: Pro Hadoop Data Analytics
Book Subtitle: Designing and Building Big Data Systems using the Hadoop Ecosystem
Authors: Kerry Koitzsch
DOI: https://doi.org/10.1007/978-1-4842-1910-2
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Kerry Koitzsch 2017
Softcover ISBN: 978-1-4842-1909-6Published: 29 December 2016
eBook ISBN: 978-1-4842-1910-2Published: 29 December 2016
Edition Number: 1
Number of Pages: XXI, 298
Number of Illustrations: 9 b/w illustrations, 152 illustrations in colour
Topics: Big Data, Programming Techniques, Programming Languages, Compilers, Interpreters, Data Mining and Knowledge Discovery