19. Data Movement and Distribution
Data is not sedentary. Once data has been created, organizations tend to move it around to support many different purposes—different applications, different geographies, different users, different computing environments, and different DBMSs.
Data is not sedentary.
Rarely is a single copy of any piece of data good enough. Data is copied and transformed and cleansed and duplicated and stored many times throughout the organization. Different copies of the same data are used to support transaction processing and analysis; test, quality assurance, and operational systems; day-to-day operations and reporting; data warehouses, data marts, and data mining; and distributed databases. Controlling this vast sea of data ...