A data mart is a subject-oriented database that is a partitioned segment of a data warehouse. A data mart’s data aligns with a particular business department such as finance, sales, human resources or marketing. Data marts are appealing because they’re focused on specific business needs.
Types of Data Marts
Data marts are categorized into three types: dependent, independent and hybrid. The determination is based on the relationship between the data mart and the data warehouse or data sources.
Dependent data marts are created within an existing data warehouse. The specific set of data used can be created in two different views: a logical or a physical subset. Logical view is a virtual table that is logically separated from the data warehouse. A physical subset is data that is physically separated from the data warehouse.
Independent data marts are created without the use of a data warehouse. Data is extracted from internal or external data sources, then processed into a data mart repository for the business’ analytic needs.
A hybrid data mart takes data from data warehouses and other operational source systems. It provides a central repository for business department needs from numerous sources.
Benefits of Data Marts
Managing data can be a huge challenge for any company. Data warehouses with data marts can help alleviate those pains, but data marts can provide efficient access and improved data warehouse performance.
Data marts provide efficient access to business teams because data marts are specific data units. For example, if a business reporting representative needed to produce a report for finance. Then, that representative can access the finance data mart in their data warehouse to access the necessary information without having to go through other departments’ data. This saves time and resources for the business.
Data marts also improve the performance of the data warehouse. Each individual department can provide maintenance to their specific data mart and not have to apply it to the whole data warehouse. If a business uses dependent data marts, their processing is individual from the data warehouse, resulting in reduced processing time and costs.
Data Marts and WhereScape
WhereScape is a data warehouse automation tool. Designed to reduce the production time and maintenance of data warehouses, WhereScape can also automate the design, build and maintenance of data marts that lie within them. WhereScape starts with rapid prototyping to collaborate with business users early in design to lower risk of project failure. Then it cuts development, deployment and operations cost and effort by eliminating hand-coding and using metadata-driven automation to generate code and all documentation. This reduces data mart delivery time by 80%.
You can learn more about WhereScape and data warehouse and data mart automation here.