Streaming IN Hadoop: Yahoo! release Storm-YARN by Jim Walker.
From the post:
Over the past year, customers have told us they want to store all their data in one place and interact with it in multiple ways… they want to use Hadoop, but in order to do so, it needs to extend beyond batch. It also needs to be interactive and real-time (among others).
This is the entire principle behind YARN, which together with others in the community, Arun Murthy and the team at Hortonworks have been working on for more than 5 years! The YARN based architecture of Hadoop 2.0 is hugely significant and we have been working closely with many partners to incorporate it into their applications.
Storm-YARN Released as Open Source
Yahoo! has been testing Hadoop 2 and its YARN-based architecture for quite some time. All the while they have worked on the convergence of the streaming framework Storm with Hadoop. This work has resulted in a YARN based version of Storm that will radically improve performance and resource management for streaming.
Processing of data, even big data, is approaching “interactive and real-time,” although I suspect definitions of those terms vary. What is “interactive” for an automated trader might be too fast for human trader.
What I haven’t seen is concurrent development on the handling of the semantics of big data.
After the initial hysteria over the scope of NSA snooping, except for cases where the NSA was given the identity of a suspect (and not always then), was its data gathering of any use.
In topic map terms, the semantic impedance between the data systems was too great for useful manipulation of the data sets as one.
Streaming in Hadoop is welcome news, but until we can robustly manages the semantics of data in streams, much gold is going to pass uncollected from streams.