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 been well established that many BI/DW projects fail due primarily to the speed at which
Monthly Archives: November 2012
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 components, developers deploy the project to the target lifecycle.
All packages include
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 target system (data mart)
There are many tools available to perform these
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 the fact record is known before the related dimension record. This situation is called a