With Lakewatch, Databricks presents an open SIEM based on Lakehouse. AI agents are intended to automatically detect and ...

Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

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 ...

Which feature in SQL Server and Azure Synapse Analytics lets you run T-SQL queries against external data stores and makes those external sources appear as tables in a SQL database?

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 ...

Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...