A Leap Forward for SQL on Hadoop & Lightning Talks @ Hadoop Summit

Meetup Details:

Date: Monday, June 2

Location: Hilton San Jose (http://www3.hilton.com/en/hotels/california/hilton-san-jose-SJCSHHF/index.html) - 300 Almaden Boulevard San Jose, California, 95110

Time: 5:00 PM - 6:30 PM -- Cocktail reception for all Meetup attendees in Hilton (Almaden Ballroom, 1 floor below IBM Meetup room)

6:30 PM-10:00 PM -- Meetup

IBM Meetup Room: Santa Clara Room 2 floor (concourse Level)

Live Stream:

https://www.youtube.com/watch?v=wXKKvpDOKB0

Link: https://www.youtube.com/watch?v=wXKKvpDOKB0

We will discuss the various SQL on Hadoop alternatives and explore why such technologies have become an area of keen interest for many organizations. We will discuss the various alternatives (Drill, Impala, Hive, Hadapt, Tajo, Shark, HAWQ, Presto, Phoenix, Big SQL) and their pros/cons. We will share customer use cases for Warehouse Modernization and the role of SQL for Hadoop in this space, as well as discuss performance characteristics of SQL on Hadoop when running common query workloads.

Also hear from the IBM development team what are the technical challenges they faced developing their SQL on Hadoop solution, how they addressed those challenges and what are the next set of challenges they see in the evolution of SQL on Hadoop. We will provide an intro to Big SQL (http://www.ibm.com/developerworks/library/bd-bigsql/) and demo. Big SQL delivers some exciting capabilities including comprehensive SQL functionality that leverages advanced SQL compiler/runtime all with low latency and high performance.

Learn more about Big SQL here (http://www.livestream.com/newchannel/popoutplayer?channel=ibmiod&clip=pla_e4b28ad8-f647-4a02-88ad-6679b78f7e8b&time=1481). Check out new SQL on Hadoop white paper. (http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?subtype=WH&infotype=SA&appname=SWGE_SW_SW_USEN&htmlfid=SWW14019USEN&attachment=SWW14019USEN.PDF#loaded)

And then we will have a series of lightning talks:

• Enterprise Security for Hadoop

• R and Hadoop

• Text Analytics and Hadoop

• Spreadsheet simplicity for Hadoop

Stay tuned for more info!