One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

As modeling becomes a more widespread practice in the life sciences and biomedical sciences, researchers need reliable tools to calibrate models against ever more complex and detailed data.

By applying the appropriate data modeling techniques, you can minimize redundancy, improve query speed, and create a more intuitive and user-friendly data model. Power BI Star vs Snowflake Schema ...

It’s not enough just to have a data lake. It must be trustworthy, reliable, and protected.

"Model collapse is a degenerative process affecting generations of learned generative models, in which the data they generate end up polluting the training set of the next generation," Shumailov's ...

Time-series data from 16S rDNA amplicon sequencing are becoming more common within microbial ecology, but methods to infer ecological interactions from these longitudinal data are limited.

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.