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.

If the pandemic has taught us anything, companies in all industries need to leverage data better to stay competitive. Studies show that over the past 12 months, the digitization of customer and supply ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

Synthetic data is billed as a solution for the limitations of real world data sets. But when we scrutinize what synthetic data can do for today's AI systems, unresolved questions keep popping up. The ...

Not to get too lofty, but if you think about it, one could argue that our entire world is powered by data. Statistics here, IP addresses there. Ones, zeroes, and many other numbers coasting down the ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...