Abstract
- This paper examines how database management has been taught in traditional technology curricula, and how to adapt a database course for a business analytics curriculum. We compare and contrast common established educational scenarios such as formal data modeling for controlled transaction processing systems versus high volume data capture from various internal and external sources for later analysis. Traditional database topics that are useful to keep are identified, along with those that may not be useful, and new topics that are very useful for analytics. A manufacturing process analogy is applied to data to help students better understand data forms, operations, and processes.