MVM ≈ 45% of ECM by table count, but retains 50% of attributes and 70% of FK relationships — confirming the MVM keeps the most join-heavy entities while shedding low-traffic reference tables. Install ...

Enterprise data stacks were built for humans running scheduled queries. As AI agents increasingly act autonomously on behalf of businesses around the clock, that architecture is breaking down — and ...

Choosing the right data platform is critical for the modern enterprise. These platforms not only store and protect enterprise data, but also serve as analytics engines that source insights for pivotal ...

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 ...

With its new Business Data Cloud, SAP wants to help enterprises unify data held in its own systems with that in other vendors’ applications: It’s goal is to expedite advanced analytics and AI use ...

Your browser does not support the audio element. In this blogpost series we will dive into building an end-to-end MLOps using Databricks and Spark. We will use the ...

NAB is steadily reducing its reliance on overnight batch processes to get data from source systems into a central data platform, while also reducing its operational costs. Speaking at the Databricks ...

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 + ...