December 2, 2009

Webinar on MapReduce for complex analytics (Thursday, December 3, 10 am and 2 pm Eastern)

The second in my two-webinar series for Aster Data will occur tomorrow, twice (both live), at 10 am and 2 pm Eastern time. The other presenters will be Jonathan Goldman, who was a Principal Scientist at LinkedIn but now has joined Aster himself, and Steve Wooledge of Aster (playing host). Key links are:

The main subjects of the webinar will be:

Arguably, aspects of data transformation fit into each of those three categories, which may help explain why data transformation has been so prominent among the early applications of MapReduce.

As you can see from Aster’s title for the webinar (which they picked while I was on vacation), at least their portion will be focused on customer analytics, e.g. web analytics.


4 Responses to “Webinar on MapReduce for complex analytics (Thursday, December 3, 10 am and 2 pm Eastern)”

  1. Ryan Garrett on December 9th, 2009 1:50 pm

    In case anyone missed the webinar Curt wrote about above, you can register for the on-demand version at

    – Ryan

  2. Research agenda for 2010 | DBMS2 -- DataBase Management System Services on January 22nd, 2010 4:59 am

    […] at analytic applications and advanced analytic functionality. I foreshadowed some of that in my Aster webinars. There’s some good stuff to talk about at Teradata I should try to write up soon. I need to […]

  3. The ethics of white papers | Strategic Messaging on August 1st, 2010 12:09 pm

    […] They want the analyst to do a better job of explaining something than they think they could do themselves. This is the ethically purer version of the prior point. Realistically, they often can’t be separated. E.g., most vendor-sponsored white papers will involve a combination of the two. The same could be said for webinars such as the ones I did for Aster Data last year. […]

  4. The substance of Pentaho’s Hadoop strategy | DBMS 2 -- DataBase Management System Services on August 21st, 2010 3:50 am

    […] of MapReduce, where by “screwy” I mean anything that isn’t Cloudera Enterprise, Aster Data SQL/MapReduce, or some other implementation/distribution with a lot of supporting tools. In that case, they might […]

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