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 ...

One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

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 ...

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 ...

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.

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 ...

Introduction: The Calm Before the 'Dashboard is Obsolete' Storm'They say if you use Snowflake's Cortex, you can just ask ...

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 ...