A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

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 ...

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.

Document databases have long been the backbone of critical applications — now, they’re entering a new era of intelligence and capability. By embedding generative AI directly into the data layer, the ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...

TrinityP3 has opened its agency register to marketers who subscribe to the service, allowing access to 18 years of data that ...

VAST Data Federal, a VAST Data subsidiary, today announced a partnership with Leidos (NYSE: LDOS) to - Read more from Inside ...

Need help choosing the best Python ORM for your projects? Here's what you need to know about SQLAlchemy, PonyORM, Django ORM, Peewee, SQLObject, and Tortoise ORM. When you want to work with a ...