Last Friday Dan Dubriwny from the Big Data Tiger Team, IBM USA, was the guest speaker on episode 62 of the DB2 Night Show, hosted by Klaas Brant. The topic was BIG DATA Overview - What is it? Who cares? If you missed it, be sure to catch the replay.
According to Klaas:
If you have been to IOD 2011 in Las Vegas then the words Big Data will probably still resonate in your mind. The theme of IOD was "Turn Insight into action" and IBM is the only company that can do this for all sort of big data. Most people think that big data is all about Hadoop. And although Hadoop is one of the components in IBM's solutions it is not what big data is all about. Dan Dubriwny gives in this episode an excellent introduction into big data. It is all about Variety, Velocity and Volume. IBM can handle all of this for both data streams and data at rest. Probably by now you are curious how this all works, so go ahead and enjoy Dan's presentation with numerous examples.
Scott Hayes informs me that there is more… much more! Episode #63 on 18 Nov will be a deep dive into IBM solutions around BIG DATA.
Join special guests Paul Zikopoulos and Robert Thomas, both from IBM, to get a look at why IBM is the right partner for Big Data. You'll find that many vendors offer Big Data products whereas IBM is offering a Big Data PLATFORM. Most of this session will be technical--- show casing, for example, the file system (GPFS SNC) that's used with the IBM Big Data platform as opposed to the open source defacto standard HDFS because it provides better performance, management (it's POSIX compliant), security, and availability; with GPFS SNC, IBM hardens Hadoop for enterprise deployments. Of course, no one quite understands the enterprise like IBM so you can bet we are solving other enterprise challenges such as security, integration, governance, and more.
The DB2Night Show Episode #63: BIG DATA Technologies, Solutions, and Details
Speakers: Paul Zikopoulos and Robert Thomas
Friday, November 18, 2011
11:00 AM - 12:00 PM EST
As Scott always says, join to be educated, informed, and entertained.
Want more on Big Data? Check out this entry: Do you feel the excitement of Big Data?