Geez,

I thought you would have commented on this story:
http://www.theregister.co.uk/2010/05...hadoop_distro/
IBM punts commercial Hadoop distro
Here's a quote from our favorite marketing man who constantly puts his footin his mouth...
"Bernie Spang, director of product strategy for database software and
systems at IBM, says that the company needs Hadoop to complete its data
analytics hat trick. IBM has traditional data warehousing and predictive
analytics in its InfoSphere"

and ...
"Spang says that IBM needs to offer a product that does the "big data"
crunching that the Googles of the world do because its own customers
have loads of structured and unstructured data that can be sucked into a
Hadoop file system and chewed on using MapReduce for a wider,
finer-grained, and more long-term analysis than can be done with a data
warehouse or stream system."

and then this ...
IBM could have just done the easy thing and partnered with Cloudera,
which back in March 2009 launched
a commercialized version of the Hadoop Distributed File System, the
MapReduce parallelization and data-crunching algorithm to chew on Webby
data, and the Hive client library associated with Hadoop. But Big Data
is important enough that IBM feels compelled to offer its own distro.


Now just FYI... Mike Olsen is the CEO of Cloudera.
Those who don't know, Mike Olsen was part of Stonebraker's crew back in the Illustra days.
And did spend some time within Informix.

As to IBM's implementation...

It will go over like a lead balloon. I wonder who from the lab is going to get in and donate time to Hadoop, HBase, Hive, Pig, Sqoop, etc.
Also I wonder what's their support model. Cloudera's isn't perfect, but for the licensing costs, they're in the right ball park for what they offer.

But hey! What do I know?
I'm just a guy, who happens to have both of Cloudera's certifications (Administrator, and Developer). ;-)

And you want to build a multi TB DW in a short time span, ask me how. :-P

-G

PS, I'd say more, but I just pulled an all nighter and I have to head over to the CHUG (CHicago area Hadoop User Group) meeting tonight.



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