Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

When calling the .execute, and retrieve the query_ids I get the parent ID, but if I'm running multiple queries I want to know all the queries IDs to retrieve results for any of them. On the logs, I ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...

When you generate a SQL file via DBCode Explorer --> Database --> Create New SQL File, put together a query and run it against Snowflake, the columns and data on the output all render to text data ...

Espresso AI, a new platform from ex-Googlers that utilizes large language models (LLMs) for data warehouse cost optimization, today announced the launch of a Kubernetes Scheduler for Snowflake. This ...

At Microsoft Build 2025, we announced the public preview of SQL Server 2025. Built on a foundation of best-in-class security, performance, and availability, SQL Server 2025 empowers customers to ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When Snowflake announced its $250 million acquisition of Crunchy Data two weeks ago at its ...

Snowflake wants to help anyone in the organization interact with structured and unstructured data in natural language, says CEO Sridhar Ramaswamy. Snowflake is building a consolidated data platform ...