“IBM Data Retrieval Technologies : RDBMS, BLU, IBM Netezza and Hadoop” #IDUG Presentation

Posted by Frank Fillmore on November 18, 2014 under BigInsights, BLU Acceleration, DB2 for Linux Unix Windows, DB2 for z/OS, Hadoop, IDAA, International DB2 Users Group (IDUG), Netezza. Tags: , , , , .

The trip to Prague, CZ last week for the International DB2 Users Group meeting was fabulous.  The city certainly has changed since I’ve been there – all for the better.  It seems more cosmopolitan, the people seem younger, more vibrant than I remember from 2004.  And the dining and music – Kim and I attended jazz and classical music concerts and enjoyed Madame Butterfly at the Prague State Opera – were amazing CutterWelderMaestro.

Here’s my pitch on “IBM Data Retrieval Technologies” if you weren’t able to attend.  IDUG EMEA 2014 E7 – IBM Data Retrieval Technologies – RDBMS BLU IBM Netezza and Hadoop

Next year IDUG EMEA will be in Dublin.  Hope you can join us for a Guinness by the River Liffey.

“IBM Data Retrieval Technologies : RDBMS, BLU, IBM Netezza and Hadoop” #IDUG Europe

Posted by Frank Fillmore on July 14, 2014 under Big Data, BigInsights, BLU Acceleration, DB2 Education, DB2 for Linux Unix Windows, Hadoop, IDAA, Netezza. Tags: , , , , , .

From November 9 – 14 I will be visiting one of the most charming cities on the planet when I attend the International DB2 Users Group (IDUG) conference in Prague, CZ.  I will present “IBM Data Retrieval Technologies : RDBMS, BLU, IBM Netezza and Hadoop”.  It will be session E7 on Tuesday, November 11 from 3:15 to 4:15 p.m.  Please consider attending IDUG Europe and joining me at this session.

Abstract:  IBM offers four distinct data retrieval technologies: the traditional RDBMS, which primarily relies on indexes to speed access; the new BLU Acceleration columnar compression database; IBM PureData System for Analytics (IBM Netezza), which deploys racks of Field Programmable Gate Array (FPGA) processors to parse the data; and IBM InfoSphere BigInsights, which is the IBM distribution of Hadoop. Choices are good to have, but how do you choose which technology to apply to a particular business use case? In this session, you learn how these techniques differ, including their relative strengths and weaknesses, to help you make an informed choice.