Tuesday – Keynote – Scaling Data Governance through Domain Ownership and an Enterprise Domain Taxonomy

Scaling Data Governance through Domain Ownership and an Enterprise Domain Taxonomy

The first of four principles of Zhamak Dehghani’s Data Mesh is the Principle of Domain Ownership. The motivations are easy to understand – ability to scale, optimization for continuous change, enabling agility, increasing trust in data, increasing resiliency of analytics. For National Instruments, now part of Emerson, the ability to scale data governance and data engineering, while keeping our inventory of data assets effectively organized and discoverable, was our primary motivation. But, what is a domain, exactly? Given that every business is different, what are our domains? How do domains map to teams, data governance processes? How do domains map to physical architecture, databases, schemas, warehouses? We leveraged the Business Layer of the TBM Taxonomy as a starting point for our Enterprise Domain Taxonomy, designed our Snowflake Data Lakehouse with that in mind, and are excited to start our Data Vault journey in 2024.

Topics Covered:

• A brief review of the first principle of Data Mesh, Domain Ownership, and the motivations behind it
• How we defined our domains, leveraging the TBM Taxonomy as an accelerator
• How those domains present in our Data Lakehouse physical architecture on the Snowflake platform
• Key data governance struggles we expect to overcome with this design
• As we transition from being alone as National Instruments to part of Emerson, how is that influencing our design

Speakers