We define a Data Lakehouse architecture with the following layers: Raw: Contains raw data directly ingested from an event stream, e.g. Kafka. This data should generally not be accessible (can contain ...

Databricks’ new tools signal a shift from AI demos to production-scale deployment - anchoring agentic AI in governance, ...

Data engineering is the single biggest bottleneck that stops businesses from getting real value out of their data.” ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...

Databricks, the Data and AI company, today introduced Agent Bricks, a new, automated way to create high-performing ...

The latest iteration of Pentaho Data Catalog focuses on empowering organizations to deliver AI with increased data quality, observability, and trust. BlueVoyant, a leader in integrated cybersecurity, ...

A new services model that brings structure, scale, and consistent quality to the most complex data modernization initiatives NEW YORK, June 10, 2025 (GLOBE NEWSWIRE) -- Indicium, global leader in data ...