What Are the Different Types of Data Warehouse Design?
Data warehouses store vast amounts of data for use in many different fields. There are two main types of data warehouse design: top-down and bottom-up. The two designs have their own advantages and disadvantages. Bottom-up is easier and cheaper to implement, but it is less complete, and data correlations are more sporadic. In a top-down design, connections between data are obvious and well-established, but the data may be out of date, and the system is costly to implement. Data marts are the central figure in data warehouse design. A data mart is a collection of data based around a single concept. Each data mart is a unique and complete subset of data. Each of these collections is completely correlated internally and often has connections to external data marts.
