SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

Databricks One offers low-code and no-code capabilities, aiming to democratize analytics for business users while maintaining enterprise-grade governance. Databricks has previewed a no-code version of ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and agentic AI features coming to its cloud data lakehouse platform. At Databricks ...

Semantic reasoning tools for databases aim to close that gap. They introduce an abstraction layer that understands business ...

Data management tasks, including data integration, transformation and governance, have always been significantly important for operational and business intelligence purposes. But the need for these ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Many colleges are turning to artificial intelligence to aggregate data and generate information to inform decisions, but without careful prompting on a user’s end — or governance on the institution’s ...

Data has long been called the new gold, but mining it has historically required specialized expertise, significant time and substantial resources. For decades, organizations relied on highly trained ...

Data analytics, business intelligence and data visualization software are critical components of the big data technology stack. They are the tools that everyone from everyday business users to ...