Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

In data warehousing, the logical model is often an afterthought or merely a carbon copy of the physical sans platform-specific properties. That limits the visibility and the use of the model to a ...

A data warehouse is defined as a central repository that allows enterprises to store and consolidate business data extracted from multiple source systems for the task of historical and trend ...

Traditional data modeling followed the steps of design, document, implement, integrate and publish. The shift to big data has caused the process for organizations to change. Data modeling for big data ...

Microsoft is acquiring ADRM Software and plans to combine its Azure compute and storage technology with its large-scale vertical data models.

With the new release, Oracle is expanding the appeal of the autonomous data warehouse to add end-to-end self-service experiences geared for business users.

Oracle Data Warehouse and Amazon Redshift are two popular data warehousing solutions, but which one has your organization's ideal features and capabilities? Read this comparison to find out.

The Boston College Enterprise Data Warehouse (EDW) supports reporting and analytics over a broad spectrum of University data. Developed in 2003, the EDW has advanced in terms of content, information ...