Unity Catalog, Delta Sharing and Data Mesh on Databricks Lakehouse
Description
In this technical deep dive, we will detail how customers implemented data mesh on Databricks and how standardizing on delta format enabled delta-to-delta share to non-Databricks consumers. - Current state of the IT landscape 1. Data silos (problems with organizations not having connected data in the ecosystem) 2. A look back on why we moved away from data warehouses and choose cloud in the first place 3. What caused the data chaos in the cloud (instrumentation and too much stitching together) ~ periodic table list of services of the cloud - How to strike the balance between autonomy and centralization - Why Databricks Unity Catalog puts you in the right path to implementing data mesh strategy - What are the process and features that enable and end-to-end Implementation of a data strategy - How customers were able to successfully implement the data mesh on out of the box Unity Catalog and delta sharing without overwhelming their IT tool stack - Use cases 1. Delta-to-delta data sharing 2. Delta-to-others data sharing - How do you navigate when data today is available across regions, across clouds, on-prem and external systems 1. Change data feed to share only “dat…
Description from YouTube. Full content on the video page.
More from Databricks
NewsHow AI and Data Keep 2.3 Million Lawns Healthy | TruGreen & Databricks
TruGreen uses Databricks Genie and Lakehouse to manage 2.3 million lawns with AI that optimizes service timing and predicts customer churn using weather, soil, and service data. The system enables non-technical branch managers to take daily actions through customized reports without requiring data expertise.
NewsHow FOX Sports Uses AI to Power Search
Fox Sports rebuilt their search system on Databricks to handle rapidly changing sports information by continuously streaming player, team, and content data into the index while computing real-time trends. The system uses semantic vector search with time-weighted ranking to surface fresh content higher, doubling the rate at which users find what they're looking for.
NewsHow AI Helps Match Doctors With Communities in Need | Databricks for Good
Databricks provides pro bono services and compute discounts to help nonprofits stay lean through its Databricks for Good program. The video demonstrates the Virtue Foundation agent, which uses Genie and interactive hex maps to identify underserved populations and medical facility distribution in Kenya.
NewsOmnigent: Open-Source Meta-Harness for AI Agents | Matei Zaharia
Omnigen is an open-source meta-harness developed by Databricks that acts as an orchestration and control layer to wrap, manage, and combine multiple AI coding agents. The platform introduces contextual security policies, cost controls, multi-agent task routing, and sandbox integrations to enable collaborative workflows and centralized governance.
NewsBuilding Agents on Databricks with Custom Apps and Omnigent
This video demonstrates how to build, update, and govern custom AI agents on Databricks using Agent Bricks, Databricks Apps, and Omnigent. The tutorial shows how to integrate Model Context Protocol servers, track execution with MLflow traces, schedule automated agent tasks, and manage security policies through Unity AI Gateway.
NewsGoverning AI Strategy with Unity AI Gateway
The Unity AI gateway provides centralized monitoring, cost tracking, and governance for enterprise AI models, MCP servers, and coding agents. Administrators can use the platform to set budget limits, configure external providers, and enforce input policies that block personally identifiable information.