In a recent episode of The Data Governance Podcast, Ben Clinch, CDO & Partner at Ortecha joined host Nicola Askham to explore the data fabric and why data governance professionals should care.
5 Key Takeaways:
1. Data Fabric vs Data Mesh: Not Opposites, But Allies
Data fabric is a technical architecture focused on smart automation and scalable data management. Data mesh, by contrast, is a socio-technical model that empowers domain teams to own and deliver data products. Used together, they’re complementary. Data fabric wraps around data mesh to prevent silos and enable scale.
2. Definitions That Make Sense
Ben’s working definition of data fabric is: “smart, automated data management at scale”. It centres on metadata, machine-readable policies, and semantic models that allow automation across complex environments.
3. Governance Is the Enabler
Far from being a separate function, data governance is the glue that holds both fabric and mesh together. It defines the principles, standards, and practices that give structure and accountability to data management across an organisation.
4. Avoid the 'New Shiny Tool' Trap
Technology is an enabler, not a silver bullet. Without strategy, operating models, and collaboration across IT and business, even the most advanced platforms won’t succeed.
5. Build Strong Cross-Functional Relationships
Governance professionals should proactively collaborate with architects and technologists. Ben advises: “Recruit a good information architect to your cause and indoctrinate them in the great wisdom of data governance.”
“Smart, automated data management at scale. That’s what I think of when I think of data fabric.”
– Ben
Watch the podcast here:
Ben Clinch
Chief Data Officer & Partner, Ortecha
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