Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

The addition of Transformational Modeling, Tx, allows data teams to simplify, automate, and collaborate on their end-to-end data modeling workflows. SAN FRANCISCO--(BUSINESS WIRE)--SqlDBM, a leading ...

All too often I see organizations forcing the DBA group to take on the job of data modeling. Oh, perhaps it is not a formal requirement, but it happens nonetheless because there is no staff focused on ...

Data analysts can help build accessible and effective data models by defining business requirements, working with IT and data scientists, and testing data model results. A good data model accounts for ...

Earlier this year, I had the privilege of serving on the organizing committee for the DataTune conference in my hometown of Nashville, Tenn. Unlike many database-specific or platform-specific ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

SQL Server 2016 and Azure SQL Database both give you tables that automatically keep track of the history of your data. Here's how to retrieve that historical data. In an earlier column, I showed how ...