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Get our latest thoughts on the world of analytics – everything from architecture and integration to data visualization and machine learning. For in-depth discussions on real-world applications of Oracle solutions, see our Case Studies.

BI Apps 7.9.6.4 Released Today

Here at Oracle HQ today.  Keep an eye out for BI Apps 7.9.6.4 being released today.  I’ll be participating in BIWA Summit 2013 this week, so little time to elaborate, but I wanted to let

Oracle OLAP Data Load Sets World Record

Check out Oracle’s Best Perf blog post about the worl-record breaking OLAP capacity that ran on their Sparc T4-4 server. SPARC T4-4 Produces World Record Oracle OLAP Capacity Oracle’s SPARC T4-4 server delivered world record

Fixing OBIEE 11g SampleAppV207 OID Password Expiration

It appears that the SampleAppV207 VM’s OID is setup with a fairly short Password Expiration Period! Have you ever been unable to start BI Server?   Have you seen this error before? oracle.ods.virtualization.engine.util.DirectoryException: LDAP Error 49

Join Us at BIWA Summit 2013!

Registration is now open for BIWA Summit 2013.  This event, focused on Business Intelligence, Data Warehousing and Analytics, is hosted by the BIWA SIG of the IOUG on January 9 and 10 at the Hotel

Vlamis Selected to Present at RMOUG Training Days 2013

Congratulations to Tim Vlamis! He will be presentating on geospatial analysis in Denver, CO at the Rocky Mountain Oracle Users Group Training Days 2013.  Using Maps and Geo Spatial Analytics in Oracle Business Intelligence 11g

Simba O2X Provider Released

The Simba O2X Provider is out and offers XMLA support for OLE DB for OLAP (ODBO). This is a client side ODBO provider for XMLA and allows you to exploit XMLA web services to serve

Oracle Data Mining vs. SAS is like Support Vector Machines vs. Neural Nets

I’m part of a small group of mathematics enthusiasts in Kansas City who meet about once a month on Saturday mornings to drink coffee and discuss mathematics. This past weekend it was my turn to do a presentation to the rest of the group and I chose to speak on the mathematical foundations of the Support Vector Machine algorithm in Oracle Data Mining. While I wasn’t surprised that some in the group had a better handle on Vapnik-Chervonenkis theory than I and gently “guided” me a few times, I was somewhat surprised at their positive reaction to my characterization of the “Oracle” approach to data mining in contrast with the “SAS” approach.

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