ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...

With Lakewatch, Databricks presents an open SIEM based on Lakehouse. AI agents are intended to automatically detect and triage threats in data pools. The company Databricks has introduced Lakewatch, a ...

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

Delta Sharing is an open protocol for secure real-time exchange of large datasets, which enables organizations to share data in real time regardless of which computing platforms they use. It is a ...

In 2026, business intelligence(BI) has become a critical capability for enterprises that want to compete in data-driven markets. Organisations are no longer struggling to collect data; they are ...

Born out of Microsoft’s SQL Server Big Data Clusters investments, the Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

Altair shares major updates across Altair RapidMiner, its data analytics and AI platform, to help organizations operationalize intelligence, bridging human insight, data automation, and agentic AI ...

For VisitBritain, data has always been part of the story. As the UK’s national tourism agency, it depends on accurate insight to help regions, small businesses, and policymakers make better decisions.

The data industry has arrived at a pivotal juncture that echoes the themes we’ve charted in previous Breaking Analysis episodes, from The Sixth Data Platform through The Yellow Brick Road to Agentic ...

With a combined market value of around $150 billion, Snowflake and Databricks have divergent visions on how to get customers' analytics and machine learning tools to their data, which is often spread ...