Jonathan Keller

Apr 3, 2024 | databricks.com | Ari Kaplan |Pearl Ubaru |Matei Zaharia |Jonathan Keller

Databricks Unity Catalog ("UC") provides a single unified governance solution for all of a company's data and AI assets across clouds and data platforms. This blog digs deeper into the prior Unity Catalog Governance Value Levers blog to show how the technology itself specifically enables positive business outcomes through comprehensive data and AI monitoring, reporting, and lineage.

Mar 7, 2024 | databricks.com | Christine Gauthier |Michael James Lumb |Matei Zaharia |Jonathan Keller

Today, we're excited to announce the launch of Brickbuilder Unity Catalog Accelerators. This is an expansion to the Brickbuilder Accelerator program, which pairs the expertise of system integrators and consulting partners with their proven frameworks and pre-built code to help organizations quickly implement a specific methodology or Databricks Data Intelligence Platform capability.

Jan 24, 2024 | databricks.com | Andrew Ferguson |Jonathan Keller

Reliable, accurate and trusted data is the most critical requirement for any data application in an enterprise. As Databricks customers increasingly rely on their data for automated insights and customer experiences, data quality has become a baseline necessity. Importantly, data quality issues are one of the largest, if not the largest, blockers enterprises face in maximizing the value of data and AI.

Jan 10, 2024 | databricks.com | David Meyer |Matei Zaharia |Jonathan Keller |Sachin Thakur

“Short cuts make long delays.”― J.R.R. Tolkien, The Fellowship of the RingThe lakehouse pattern, in which you store all of your structured and unstructured data in a Lake, and get warehouse performance and semantics on it, has become the foremost pattern for data and AI at scale. This requires two fundamental layers: lakehouse storage (such as Delta) and lakehouse governance (such as Unity Catalog).

Dec 20, 2023 | databricks.com | Ari Kaplan |Pearl Ubaru |Matei Zaharia |Jonathan Keller

Governance ensures data and AI products are consistently developed and maintained, adhering to precise guidelines and standards. It's the blueprint for architects, bringing their solutions and data vision to life with consistency, guidelines, and standards. It's scale and speed for data engineers with repeatable workflow management. It's collaboratively building and operationalizing AI models for data scientists, with transparency to operationalize at scale.