Data Mesh is a revolutionary decentralised approach to data analytics architecture made popular about 5 years ago. However it is notorious for being really difficult to implement and get results out of for the data leaders.
In my option it is due to reasons such as
- Data Mesh is influenced heavily by the DevOps philosophy and most Data people have worked only in centralised teams.
- There is a big gap in the practices followed in Data Engineering and Software engineering space

In this session, I will present Data Mesh in a novel and visual way using DevOps principles as building blocks. The visuals and anecdotes are explained in the language data people can relate to and understand. I will be introducing the 4 pillars of Data Mesh (Domain Ownership, Data as a product, Self Service Data Platform and Federated Governance) and discuss the critical architectural prerequisites essential for the successful implementation of Data Mesh within organisations. These prerequisites encompass technological considerations (Domain Driven Design, IAM, Data Catalogues, Platforms, Taxonomy, Ontology etc. ), organisational alignment (Team structures, leadership structure), and cultural shifts (distributed ownership) necessary to realise the full potential of Data Mesh.

This talk is inspired from my personal journey of using Data mesh as guiding principles for organisations Data Strategy at my current and previous work places. I will also share some intermediary states organisations can take to slowly and gracefully adopt Data Mesh into their data landscape.