Information Engine RSS feed for this section

Modeling to Support Agile Data Warehouses: Hyper Normalization and Hyper Generalization


I was in Las Vegas recently for The Data Warehousing Institute conference helping out with our Magnitude Software booth, and I noticed one of the classes being taught there was “Agile Data Engineering:  New Data Modeling Techniques that Readily Adapt to Constant Change.”  We’ve been modeling for a long time now—is there really something new […]

Read full storyComments { 0 }

Essential Thinking for BI Requirements


In a recent TDWI interview, Jonathan Geiger, executive VP of Intelligent Solutions Inc, discussed how to improve the process of requirements gathering for BI projects. Several things immediately stood out from the interview as his suggestions were quite consistent with the methodology and technology at Kalido. Here are three examples: Listen when the business user […]

Read full storyComments { 0 }
TDPUG survey on resources

Data Warehouse Survey Update


It’s the end of October now which means that the autumn trade show season is drawing to a close. This year we sponsored and exhibited at the TDWI World Conference in San Diego (and in Chicago earlier in the year), and the Teradata PARTNERS Conference in Nashville. Once again we gathered survey responses in our […]

Read full storyComments { 0 }
UID

Building the Data Warehouse Semantic Layer


Kimball Group puts out some fantastic design tips, and one I especially liked in the last year was one from Joy Mundy (Design Tip #158 Making Sense of the Semantic Layer).  The arrival of this in my inbox was extremely timely because I was at the time involved in a disagreement with a BI consultant […]

Read full storyComments { 3 }
codzilla

The Agile BI Ship Has Sailed – are you on a Tanker or a Jet Boat?


Slow to change direction, or the ultimate in turning on a dime?

I recently took a very touristy outing in Boston when we went on the “Codzilla” boat ride in Boston Harbor. On a hot day, it is great. The boat goes out of the harbor, gains speed, and then tries to get everyone wet by turning sharply and quickly, stopping short and diving forward, and generally […]

Read full storyComments { 0 }