Lightning fast in-memory analytics on HDFS

[MTG dev <de...@magnatempusgroup.net>]

Because a lot of people here are using HDFS day in and day out the
following might be quite interesting for some.

Magna Tempus Group has just rolled out a readily available Spark 0.5
(www.spark-project.org) packaged for Ubuntu distribution.  Spark delivers up
to 20x faster experience (sic!) using in-memory analytics and a computational
model that is different from MapReduce.

Our package is build against current official Apache Hadoop 1.0.3, so it
should be compatible with everything from 0.20.205 up to Hadoop 1.1 release
candidate. Redhat/CentOS version is coming in a few days (in case someone is
interested).


You can find all related information at
    http://www.magnatempusgroup.net/blog/2012/09/24/incredibly-fast-in-memory-analytics-for-bigdata-technology-preview/
and download installable package from
    http://magnatempusgroup.net/ftphost/releases/Spark-0.5-1.0.3/

Compatible Hadoop 1.0.3 stack is available for direct installation from
our repository
    http://www.magnatempusgroup.net/blog/2012/05/25/mtg-release-0-3-1/

The package is created in the exact standards of BigTop stack, so it is quite
standard distribution package.

We would love to hear your feedback and comments!

--
With regards,
	Alef
        MTG development team