Image: garrykillian/Adobe Stock. Data modeling is the process through which we represent information system objects or entities and the connections between them. Such entities could be people ...

The perception that data modeling is solely an engineering function has become outdated with self-service, modern BI platforms. People across the organization are already modeling data. Now it’s ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights. ... The data analysis process.

Predictive modeling uses known results to create, process, and validate a model to forecast future outcomes. It is a tool used in predictive analytics , a data mining technique.

With support for both visual and code-based modeling, AtScale enables collaboration among analytics engineers, BI teams, and data scientists in the data modeling process. This flexibility allows ...

SqlDBM, the leading cloud-native data modeling platform for the enterprise, today announces the release of its Model Context Protocol (MCP) Server live at Databricks Data + AI Summit 2025. This ...

A semantic layer is an abstraction used in data analytics designed to help organizations define the exact metrics, measures, and values that are important to them. The process helps the organization ...

Google is moving quickly to a future of data modeling. Here's how paid search marketers need to approach the analytics shift. There’s a lot going on in the world of Google Analytics 4 right now ...

SAN FRANCISCO, June 10, 2025--SqlDBM, the leading cloud-native data modeling platform for the enterprise, today announces the release of its Model Context Protocol (MCP) Server live at Databricks ...