The Data Challenge Have you ever wanted to assess or explore a new BI, analytics, data visualization, data science, etc. technology, but struggled to find a data set to use for your assessment and exploration activities? Have you grown tired of analyzing the “typical” datasets–think census, stock market, and employment and inflation rate data–known to be publicly available? […]

February 6, 2015

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by: KathrynWatson

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Categories: Data Integration, Tips

In my previous post, I discussed the transition from a Type 1 to a Type 2 Dimension structure after initial implementation. Today we’ll maintain our focus on Type 2 Dimensions and highlight derived effective dating and its timestamping implications. Why Effective Date? Within Type 2 Dimensions, it is essential that each record be effective dated […]

December 16, 2014

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by: KathrynWatson

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Categories: Data Integration, Data Modeling, Tips

In the data warehousing world, much attention has been paid to detailing the different dimension types and the design selection criteria for each. A related data warehousing design conundrum has garnered little fanfare, however—a post go-live transition from one dimension type to another. In today’s post, we will focus on the transition from a Type […]

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