On-Demand Webinar
Implement Data Mesh with a Self-Serve Platform
Speakers

Maciej Szpakowski
Chief Product Officer
and Co-Founder
Prophecy
and Co-Founder
Prophecy

Ameya Malondkar
Solutions Architect
Databricks
Databricks

Shehzad Nabi
Chief Technology Officer
Waterfall Asset
Management LLC
Waterfall Asset
Management LLC
Producing Data for Analytics and Machine Learning with speed and flexibility has been unsolved for a decade. Data mesh is an architectural pattern that is fundamentally about putting more of the data into the hands of domain experts who understand the data, instead of completely relying on a single data platform team.
Data Mesh holds promise, but it is defined too abstractly. In this webinar, Prophecy and Databricks provide a practical implementation architecture and a step-by-step guide to implementing a data mesh in your organization:
- How a business team with domain experts can build and publish data products themselves with a visual self-serve platform.
- How the data platform team can provide standards and governance.
- How data products can be published and shared based in a single Lakehouse
- How to implement the data mesh, starting with the first team and tackling practical issues such as access control, budgeting and production support.
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