Data architecture is typically documented using data models, data dictionaries, data flow diagrams, and data quality metrics.

I use standardized frameworks like TOGAF and modeling languages such as UML and ArchiMate to create clear, comprehensive architecture diagrams and documentation.

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Learn why data lineage is necessary for compliance, how it works, and what steps you need to take to implement and maintain ...

"We will remain pragmatic going forward according to the data and will be as agile as necessary," Villeroy, who is also head of the French central bank, told a financial conference in Paris.

For any organization building toward the future of data intelligence, Iceberg is not just a nice-to-have. Instead, it is rapidly becoming an essential component of the modern data stack.

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire ...

The Colorado River irrigates farms, powers electric grids and provides drinking water to 40 million people. But as its supply dwindles, a crisis looms.

Gold (XAU/USD) is extending its gains as Israel's attacks on Iran continue, supporting demand for the safe-haven precious metal.

Worried about how much of your data is being collected? Most manufacturers will collect at least some form of your data. Here's what you need to know.