Real-time Hadoop

[Mohamed El-Refaey]

What about Hadoop in the context of real-time requirements for some systems like those exist in mobile networks?
and if it is not supported, what are the alternatives in particularly for the real-time case?

Regards,
Mohamed El-Refaey

[Garry Turkington]

So true realtime isn't a core Hadoop strength at this point. The processing model really doesn't lend itself to those sort of requirements.

Looking ahead though two interesting developments are Yarn and Tez. The former treats the Hadoop platform as a more generic processing framework and Tez (just starting) will be building processing models that differ significantly from what we are used to in MapReduce today. Those seem like areas of major innovation to me and I suspect we'll see a whole raft of different types of processing happening on Hadoop in the future.

Garry

[Mohamed El-Refaey]

I see, but it looks that tez is trying to increase processing speed but not really a real-time solution ..
Thanks for referring to yarn and tez, wonderful framework


Regards,
Mohamed

[Carlos Morillo]

Real Time in a Hadoop cluster is one of the many things possible when you use MapR Enterprise Grade Distribution compared to Apache Hadoop or other distributions thanks to the many enhancements and features of MapR-FS, which is a read/write file system among others.

See this use case documented here http://www.mapr.com/blog/twitter-feed-fuels-real-time-hadoop-with-storm-and-maprr-at-the-strata-conference.

If you want to accomplish this using other Hadoop distributions at least you would need 2 clusters and a lot of more hardware, therefore way more expensive.


HTH,


Carlos.

[Mohamed El-Refaey]

Interesting use case ...it also mentioned that it deals with real time sensors' data, in deployment such as IoT.
Thanks Carlos!