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 cloudhosting14 wrote: As you would already know that managed hosting itself is another form of Cloud hosting in which the system administrations of servers is looked upon by the CPs. Similar is the case with managed multi Cloud hosting. You can very well understand how a big burden it would be to manage multi cloud servers for organization; this is why a service known as managed multi Cloud is provided to these users. This service ensures them the seam less running of their system administrative operations while organizations focus more on t...
May. 21, 2013 04:08 AM EDT
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