When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

Abstract: Text-to-SQL is the task of converting a natural language utterance plus the corresponding database schema into a SQL program. The inputs naturally form a heterogeneous graph while the output ...

Arsenal manager Mikel Arteta Photo: Getty Images; design: Eamonn Dalton Welcome to the latest edition of The Alternative Premier League Table, where each matchweek, The Athletic analyses the entire ...

Abstract: In data governance, accurate tracking of table data lineage is the key to ensuring data quality and compliance, and traditional methods mainly rely on static metadata and manual maintenance, ...

Design: Eamonn Dalton / The Athletic; Photo: Marc Atkins/Getty Images Welcome to the 13th edition of The Alternative Premier League Table, where each Thursday, Anantaajith Raghuraman analyses the ...

Data cleaning is a long-standing challenge in data management. While powerful logic and statistical algorithms have been developed to detect and repair data errors in tables, existing algorithms ...

Lovable, which is a Vibe coding tool, says Claude 4 has reduced its errors by 25% and made it faster by 40%. On May 22, Anthropic started rolling out two new models: Claude Sonnet 4 and Claude Opus 4.

At Microsoft Build, SQL Server 2025 enters public preview with major enhancements in AI integration, performance, reliability and developer tools -- reaffirming Microsoft’s continued investment in its ...

I will explain the "basic syntax". This time, we will continue with "Tables"... I have introduced several articles about tables before. I will include the links at the end. Let's convert it. Table ...

All the information in SQL Server database is stored in 8 KB-sized pages. If any page gets corrupted, server fails to read the data in the database and displays different errors. Some common errors ...

The increasing adoption of AI technologies is presenting new challenges for our customers’ data estate and applications. Most organizations expect to deploy AI workloads across a hybrid mix of cloud, ...