Thursday, April 25, 2013

Site Update

My keynote address at the Northern California Oracle User Group Spring 2013 conference was added to the SCHEDULE.

BTW: If you live in San Francisco, attend the conference on 5/22 and can give me rides to and/or from Pleasanton, or know somebody who can, it will be greatly appreciated. Please email me at the address on the About page.

A link to my latest All Analytics column was posted on the ONLINE page.

Incidentally, since with the discovery by business of analytics as some sort of "new data science", overnight born-again BI experts proliferate like frogs after heavy rain. It suggest a similar poverty of foundation knowledge and rich debunking targets.
Please submit any pearls you come across that could be targets interesting from a data perspective.

The 'Quote of the Week' was posted on the QUOTES page.

A 'To Laugh or Cry' item was posted on the LAUGH/CRY page.

Many years ago I wrote something about what I called the "kitchen sink" approach to data management, but this one takes the cake. All the following are included:
  • Key-value pair programming language
  • Entity Attribute Value database model
  • Relational Database Management System, specifically Postgres 9
  • Objects and object metadata
  • SQL client interface (returns objects of various types)
  • Procedural SQL [FP: Huh?]
  • Schema of "Sprout data model" [FP: Wonder what that is]
  • Objects (tables, views) are accessed with their resource identifier
  • High level syntax-independent [FP: Wow!!!!]
and much more (check out, in particular, the bulleted list of features).

A link to an online exchange I participated in was posted to the FP ONLINE page.

Consider the topics in Jonathan Lewis' Oracle Mechanisms Webinar in the context of my argument that, given so many physical/implementation factors that affect performance, why the instinct to attribute poor performance to (logical) denormalization?  And there are many more than those tackled by Jonathan.

While checking hits to this site, I noticed that one of them was due to the  following Google search: "My data model is a better model of reality than your data model. What would your response be?"


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