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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Format: | eBook |
Language: | English |
Published: |
Upper Saddle River, NJ
Pearson Education
2014
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Series: | FT Press Analytics Ser
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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