Data Mesh Implementation Patterns

Data mesh has caught the attention of the practitioners with its promise of increased speed to insights and lower data management costs. There is sufficient literature available on “WHAT” of data mesh, but not enough design patterns on “HOW” of data mesh
The presentation will focus on implementation patterns of various data products based on nature of data sources, historical data needs, serving application, consumption requirements. Besides the implementation patterns at execution time, the presentation will also delve into access and search patterns
The implementation patterns are built with a focus on Domain Data as first-class concern as opposed to Data Pipeline as first-class concern, with the following core tenants being embedded as part of all the patterns:
Serving instead of Ingesting
Discovering and using instead of extracting and loading
Publishing events as streams instead of data flowing around via pipelines
Ecosystem of data products instead of centralized data platform
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[@Engrbrain]

Poor presentation really. It is highly conceptual and does not answer the underlying architecture questions about implementing a data mesh

[@roshanibhatt]

Great presentation & very relevant topic in today's marketplace!

[@okachovik]

Poor , doesn’t explain the technical implementation properly.

[@jackfruit22]

poor, sorry. clarity isn't there.

[@fatoorechbahar]

That's a huge amount of horse shit right there; I understand you don't have content to share; maybe it's one of those consulting things to spin off a simple concept of push vs pull data into multiple slides and name it patterns.
This presentation is an amazing example of of how few people are being called "Experts" without knowing even the basic concepts.

[@niting123]

poor presentation