Migrating on-premise databases and data platforms to a cloud-based data lakehouse can be challenging for organisations that run multiple data management products on different systems to serve ...

data.world, the enterprise data catalog for the modern data stack, is announcing its partnership with Databricks, marking an enterprise-wide commitment toward visibility and accessible data.

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...

Five years ago, Databricks debuted the world’s first data lakehouse, which combined the beneficial aspects of data lakes and data warehouses. Thanks to the rise of AI, the nature of data platforms is ...

Our analysis and end-user discussions continue to demonstrate that a new modern data stack is emerging along with sophisticated data-oriented “personas,” such as data analysts and data scientists.

Overview: Cloud Computing jobs in 2026 focus on integration, data, and real business impact.AI Tools and modern Cloud ...

At the Databricks Data + AI Summit this week the company expanded its contributions to the Delta Lake initiative, as well as unleashing a wave of new data lakehouse, machine learning and data ...

Data teams, application owners, and IT all want agentic AI. Figuring out who funds it is complex - and the organizational ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...