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Joy Mundy

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Kimball University: Five Alternatives for Better Employee Dimension Modeling

August 17, 2009 02:30 PM

The employee dimension presents one of the trickier challenges in data warehouse modeling. These five approaches ease the complication of designing and maintaining a 'Reports To' hierarchy for ever-changing reporting relationships and organizational structures.

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Kimball University: Maintaining Dimension Hierarchies

October 27, 2008 09:02 AM

Dimension hierarchies and pre-computed aggregations can make or break your data warehouse. Here's how to design, load and maintain true hierarchies while working around bad data sources and optimizing for usability and performance.

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Kimball University: Should You Use An ETL Tool?

April 06, 2008 09:30 PM

You can still hand-code an extract, transform and load system, but in most cases the self-documentation, structured development path and extensibility of an ETL tool is well worth the cost. Here's a close look at the pros and cons of buying rather than building.

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Kimball University: Handling Arbitrary Restatements of History

December 09, 2007 10:13 PM

How do you cope with an executive's request to "bring back a time series of activity for all subscribers who were in platinum status as of X date," or "show me a time series of orders by sales region according to the sales organization as of Y"? Here's how data warehouse pros can cope with the common requirement to look back in time.

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Kimball University: Building a Foundation for Smart Applications

December 01, 2006 12:00 AM

Off-the-shelf apps may offer built-in analytics, but the best approach to supporting operational decisions is to rely on a solid data warehouse that cleans, integrates.

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Don't Forget the Owners Manual

July 01, 2005 05:00 AM

Ensure trouble-free data warehouse and BI deployments by answering critical planning questions.

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Bio

Joy Mundy

By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?

Informationweek Reports

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.

Lifestream / Bio / Archive

Joy Mundy

Articles

Kimball University: Five Alternatives for Better Employee Dimension Modeling

Kimball University: Maintaining Dimension Hierarchies

Kimball University: Should You Use An ETL Tool?

Kimball University: Handling Arbitrary Restatements of History

Kimball University: Building a Foundation for Smart Applications

Don't Forget the Owners Manual

Bio

By The Numbers

What Do You Think?

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Informationweek Reports

Research: The Big Data Management Challenge