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Big Data Analytics Beyond Hadoop: Real-Time Applications With Storm, Spark, and More Hadoop Alternatives (FT Press Analytics) by Vijay Srinivas Agneeswaran is a book available to read on EtoBox.

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xvi, 216 pages : 24 cm "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 for, especially real-time analytics and contexts requiring the use of iterative machine learning algorithms. Fortunately, several powerful new technologies have been developed specifically for use cases such as these. Big Data Analytics Beyond Hadoop is the first guide specifically designed to help you take the next steps beyond Hadoop. Dr. Vijay Srinivas Agneeswaran introduces the breakthrough Berkeley Data Analysis Stack (BDAS) in detail, including its motivation, design, architecture, Mesos cluster management, performance, and more. He presents realistic use cases and up-to-date example code for: Spark, the next generation in-memory computing technology from UC Berkeley; Storm, the parallel real-time Big Data analytics technology from Twitter; GraphLab, the next-generation graph processing paradigm from CMU and the University of Washington (with comparisons to alternativ

Author

Vijay Srinivas Agneeswaran

Publisher

Pearson FT Press; Pearson Education

Published

2014

Language

EN

ISBN

9780133838268

Subjects

Management, Business, Science

Rating

3.2 / 5 (13 ratings)

Updated

2026-03-14