Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables on a shared ID. A pipeline sends a failed job down a retry path. Rules like ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Oracle Business Semantic Layer and Business Simulation Engine were announced at Oracle AI World Las Vegas 2026, giving ...

Early in 2022, two Microsoft Cloud Solution Architects introduced a new pilot approach for exporting Dynamics 365 Business Central data for analysis using Azure Data Lake and Azure Synapse Analytics.

A multimodel database is a data processing platform that supports multiple data models, which define the parameters for how the information in a database is organized and arranged. Being able to ...

The data warehouse layer is a vitally important part of this book. Here, we introduce a data warehouse key word: multidimensional. You need to become familiar with the concepts and terminology used ...

As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and mul­tiplied. Instead of just ...

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 ...