According to DAMA International’s Guide to the Data Management Body of Knowledge, enterprise data architecture typically consists of three major sets of design components. First, an enterprise data ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs.

Key data predictions from industry experts and vendors to help enterprises drive growth with operational efficiency in 2023.

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

Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements. Collaborate with system architects, software architects, ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

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 models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

Identify which data modeling tools are right for your business. Discover the top data modeling tools of 2022 now.