Exploring supply and processor rail-monitoring solutions that support the entire data center power architecture.

This feature article explores Chitnis's journey and vision through eight themes, from multi-cloud strategy to the rise of data mesh, drawing on his insights and the latest research in the field.

The connection to existing backend operational apps and analytic systems (bottom layer). The data platform architecture above that, which will become increasingly abstracted in our view.

Big data platform startup dbt Labs Inc. said today it’s reinvigorating its flagship dbt Cloud offering with new enhancements and capabilities that it says will enable every employee to ...

The concept of a data mesh has been around for a few years. At a high level, it’s a data platform architecture that allows users to access data without transferring it to one of two places: a ...

Databricks this week unveiled Lakehouse Federation, a set of new capabilities in its Unity Catalog that will enable its Delta Lake customers to access, govern, and process data residing outside of its ...

DBTA's webinar, Building a Data Mesh on your Lakehouse, offered best practices and tools for implementing a data mesh-an architectural framework that solves data efficiency challenges through ...

A data mesh is fundamentally a model depicting how the governance and technology used to manage data is organized into domains and shared within the enterprise for end user discovery and use.