Big data analytics beyond Hadoop real-time applications with Storm, Spark, and more Hadoop alternatives

Master alternative Big Data technologies that can do what Hadoop can't: real-time analytics and iterative machine learning. When most technical professionals think of Big Data analytics today, they think of Hadoop. But there are many cutting-edge applications that Hadoop isn't well suited...

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Bibliographic Details
Main Author: Agneeswaram, Vijay Srinivas
Format: eBook
Language:English
Published: Upper Saddle River, NJ Pearson Education 2014
Series:FT Press Analytics Ser
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index
  • 1. Introduction: Why look beyond Hadoop map-reduce?
  • 2. What is the Berkeley data analytics stack (BDAS)?
  • 3. Realizing machine learning algorithms with spark
  • 4. Realizing machine learning algorithms in real time
  • 5. Graph processing paradigms
  • 6. Conclusions: big data analytics beyond Hadoop map-reduce
  • Appendix A. Code sketches