Ensure data pipeline reliability and troubleshoot issues fast by using standard Python logging directly in BigQuery UDFs for real-time observability.

Conventional data analysis tasks required enormous man-hours for SQL creation and dashboard construction, with the shortage ...

Hello, this is Shiro Saikido.In my previous article, I wrote that even at board meetings, people have started to understand ...

New project- and user-level limits for generative AI functions aim to improve cost predictability, though analysts say ...

SQL Server Management Studio can help take the guesswork out of creating connection strings for PowerShell applications.

Predictive AI Functions bring high-quality ML predictions — forecasting, anomaly detection, top drivers, and value/class ...

Genie Ontology equips product managers with the enterprise context needed to seamlessly analyze adoption data, forecast emerging trends, and automate weekly workflows.

The backend is written for the performance-focused, Postgres-compatible RDBMS CedarDB. Much like modern Doom ports, SQLDoom uses two paths: one running at the game's original 35 Hz for handling all ...

Bill Schmidt (Renson House) explains when a data historian fits plant process data better than SQL Server or Oracle—and where historians hit limits.

Data warehouses are often subject to a preponderance of ad-hoc queries. They came into existence in the 1990s to support historical data stores of customer-facing data, especially sales data. At that ...

U.S. Cybersecurity and Infrastructure Security Agency (CISA) adds Cisco Secure Email Gateway flaw to its Known Exploited Vulnerabilities catalog. The U.S. Cybersecurity and Infrastructure Security ...

The new context layer connects to existing SQL databases and builds a governed, model-agnostic foundation for AI agents running on live operational data, in weeks rather than years. RavenDB, a NoSQL ...