When users need only a specific subset of data—about one subject area or department, for example—sometimes a data mart is the answer. Think of it as providing a boutique store versus a giant warehouse for their data needs. With a data mart, it can be easier for business users and analysts to locate and discover the answers they need sooner.
However, even though it only represents a smaller subset of your data, building a data mart can be as complex and time consuming as developing a data warehouse. But it doesn’t have to be. Automating the design, development, deployment and operation of data marts lets you deliver business intelligence solutions to the business fast, without sacrificing quality, performance, agility or governance.
Get new data marts into the hands of users fast by automating the entire data mart lifecycle. Start with rapid prototyping to collaborate with business users early in design to lower risk of project failure. Then cut development, deployment and operations cost and effort by eliminating hand-coding and using metadata-driven automation to generate code and all documentation.
Hear from IT pros who’ve used WhereScape automation to build a fully functioning data mart in under two hours. This 90-second video recaps the WhereScape Test Drive, a hands-on lab to experience the power of data infrastructure automation.
Learn how automation helped Cornell University convert its data warehouse and deliver four data marts.View Now
Industry expert Wayne Eckerson shares why organizations should automate to build data marts.View Now