R among TechCrunch’s 5 Trendy Open-Source Techs for Big Data

October 30, 2012
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(This article was first published on Revolutions, and kindly contributed to R-bloggers)

Tim Gasper (Product Manager at Big Data platform Infochimps) has an informative article at TechCrunch that provides an overview of five open-source technologies trending now for Big Data applications. They are:

  • Storm and Kafka (for processing stream data)
  • Drill and Dremel (for ad-hoc queries of big data)
  • R (for data science with big data)
  • Gremlin and Giraph (for graph analysis, e.g. of social networks)
  • SAP HANA (for in-memory analytics). HANA isn't an open-source tool though, so perhaps the fifth slot should really go to ...
  • Honourable mention D3, for web-based visualization.

Regarding R, Gasper says that it is "incredibly powerful", "the new standard for statistics", and that "the R community is one of the most thrilling places to be in Big Data right now". He also mentions the RHadoop project ("R work very well with Hadoop") and the up-and-coming Julia project.

You can read Gasper's complete overview of R and the other trending big-data technologies at link below.

TechCrunch: Big Data Right Now: Five Trendy Open Source Technologies

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