Data Mart

Unlock targeted insights, streamline analysis
and enable informed decisions with precision
and efficiency.

How Data Mart Works

A data mart offers a specialized subset of enterprise data, akin to a boutique compared to a warehouse. It enables quicker access to insights for users. Despite its smaller scale, building a data mart can be as complex as a data warehouse. However, automation streamlines the process, ensuring fast delivery of business intelligence solutions without sacrificing quality or governance.

Reap the benefits of the cloud faster with automation

Data Mart  vs  Data Warehouse

A data warehouse serves as a broad foundation layer for your entire enterprise, storing data in a structured, cleaned and governed way. Data warehouses typically employ a data warehouse modeling methodology, such as 3NF or Data Vault 2.0.

A data mart architecture, on the other hand, typically serves a specific subject area within your organization, such as finance or HR, and contains a specific set of analytics models and data sources appropriate for that subject area only. Data marts generally take on the form of a dimensional model or an information mart if employing the Data Vault 2.0 approach within the broader enterprise.

Data Mart  Development

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.

Take a WhereScape Test Drive !

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.

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Data Projects with WhereScape

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