Big Data Analytics Beyond Hadoop: Real-Time Applications by Vijay Srinivas Agneeswaran

By Vijay Srinivas Agneeswaran

Master replacement great info applied sciences which may do what Hadoop cannot: real-time analytics and iterative laptop studying.


When such a lot technical execs ponder monstrous information analytics this present day, they suspect of Hadoop. yet there are numerous state-of-the-art purposes that Hadoop is not like minded for, in particular real-time analytics and contexts requiring using iterative computer studying algorithms. thankfully, numerous robust new applied sciences were constructed in particular to be used circumstances comparable to those. Big info Analytics past Hadoop is the 1st advisor particularly designed that can assist you take the following steps past Hadoop. Dr. Vijay Srinivas Agneeswaran introduces the leap forward Berkeley info research Stack (BDAS) intimately, together with its motivation, layout, structure, Mesos cluster administration, functionality, and extra. He provides sensible use situations and updated instance code for: 

  • Spark, the following new release in-memory computing expertise from UC Berkeley
  • Storm, the parallel real-time enormous facts analytics expertise from Twitter
  • GraphLab, the next-generation graph processing paradigm from CMU and the collage of Washington (with comparisons to choices comparable to Pregel and Piccolo)

Halo additionally bargains architectural and layout suggestions and code sketches for scaling desktop studying algorithms to special facts, after which knowing them in real-time. He concludes via previewing rising developments, together with real-time video analytics, SDNs, or even great info governance, protection, and privateness concerns. He identifies exciting startups and new study chances, together with BDAS extensions and state-of-the-art model-driven analytics.


Big facts Analytics past Hadoop is an essential source for everybody who desires to succeed in the innovative of massive facts analytics, and remain there: practitioners, architects, programmers, info scientists, researchers, startup marketers, and complex scholars.

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