Integrating AI output with SQL and providing observability of large language models are ways to put more data analysts in control, according to the data warehousing giant.

Managers of data warehouses of big and small companies realise this sooner or later, that having vast tables of numbers and ...

Have you heard of Power Query in Microsoft Excel but always thought that it's only intended for Excel experts? Let me stop ...

While Snowflake and Databricks appear to be placing their bets on Postgres, TiDB CTO Ed Huang believes it is MySQL that will ...

Databricks Inc. today introduced a new serverless database called Lakebase that can process more than 10,000 queries per ...

CloudQuery's developer-first approach to cloud governance pulls data from 60-plus sources into a single, queryable data ...

Learn how to create stunning Power BI dashboards in just 10 minutes. Step-by-step guide to transform raw data into actionable ...

But six years on, just as the merger between Databricks and Tabular prompted signs of a confluence between the two formats, fledgling database DuckDB proposed an alternative architecture, prompting ...

DataFusion and WarehousePG meant to deal with AI-related workloads, not to compete with analytics data platforms ...

Python continues to dominate data science with its ease of use and vast libraries.R remains a favorite for statistics and ...