AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly. AI pipelines are transforming how enterprises handle data, but they’re ...

Databricks has made a name for itself as one of the most popular commercial services around the Apache Spark data analytics platform (which, not coincidentally, was started by the founders of ...

Scott Guthrie, Microsoft EVP of Cloud & Enterprise. Microsoft Azure customers interested in parsing large amounts of data to improve their businesses will soon be able to use Azure Databricks, ...

We’re living in a world of big data. The current generation of line-of-business computer systems generate terabytes of data every year, tracking sales and production through CRM and ERP. It’s a flood ...

In today's data-driven landscape, organizations rely on machine learning solutions to extract actionable insights and drive informed decision-making. Azure Databricks, a cloud-scale platform for data ...

Hyperscale combines strong write performance, flexible storage and fast replica creation for databases of nearly any size.

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit. Using this new capability, enterprises can bring together their various siloed data systems and ...

When Databricks claimed to have cracked an age-old database problem, it came with a clear marketing message: "One data, zero compromises, zero copies." Inevitably, that led engineers to search for ...