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 ...

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 ...

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

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 Committed to addressing the challenges of outdated documentation and fragmented data ...

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

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 ...

Compute efficiency is therefore becoming part of model architecture. It should not be treated only as a deployment issue that ...

Three factors drive modernization of data management approaches: information scale, value and risk. Organizations are dealing with data sets that are orders of magnitude larger than in the past. The ...

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 ...

Enterprises implementing a cloud data architecture can accelerate data insights and lower their IT costs, but the cloud's potential benefits can create new problems if the data architecture isn't well ...

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.