Managing Data Mart Changes
One of the most important advantages to LeapFrogBI’s metadata driven data mart development platform is the ability to adjust quickly to requirement changes. It has
One of the most important advantages to LeapFrogBI’s metadata driven data mart development platform is the ability to adjust quickly to requirement changes. It has
LeapFrogBI account administrators configure project lifecycles in the project console. Each connection contains a definition for each lifecycle. After creating all of the required project
Building a data mart can be broken down into three distinct steps. Extact data from source system Transform data to desired structure Load data into
When building a dimensional model it is critical that facts have accurate foreign keys pointing back to related dimensions. However, there are some situations where
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