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 ...

BTTV brings you a new market show - 'Daily Calls,' where you can gain invaluable insights and clarity on your market queries through our live sessions featuring expert analysts. Whether you're ...

Modern organizations rely on integrated data platforms to process massive datasets and generate real-time insights. Cloud-native platforms like Snowflake and BigQuery simplify scalable analytics ...

SourceFuse partners with Databricks to help enterprises modernize data platforms, unlock AI & GenAI capabilities, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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, ...

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 ...

Most of the health advice summarized in Google’s AI Overviews relies on non-medical sources, a new analysis shows. This follows fresh concerns about users receiving misleading or unsafe guidance on ...

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 ...