ER/Studio, an enterprise data architecture and modeling platform, is announcing the availability of ER/Studio 21.1-introducing new semantic generation capabilities in Data Architect that transform ...

While companies integrate generative AI, semantic retrieval and intelligent automation into real business processes, they ...

New semantic generators in Data Architect transform business definitions and relationships already captured in enterprise data models into semantic models and layers for AI, Microsoft Power BI, dbt, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Struggling to power AI with outdated systems? At the September MarTech Conference we discussed how composable data ...

Every data modernization effort starts with a blueprint. The architecture looks clean. The data flows are defined. The platform choice is justified. Whether it is a data warehouse, a data lake or a ...

Codoflow, a centralized platform, is on a mission to change how businesses approach data architecture management. Committed to addressing the challenges of outdated documentation and fragmented data ...

A model can be swapped out in a quarter. A data architecture takes years to rearchitect and a genuinely frightening amount of ...

As enterprise AI matures, competitive advantage is moving beyond model choice toward orchestration, permissions, data access, ...

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Data modeling is the process through which we ...

Data modeling is the process of defining datapoints and struc­tures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.