Data Mesh & Fabric: The Data Quality Dependency

The concepts and practices of Data Mesh and Data Fabric are data management’s new hot topics. These contrasting yet complementary technology and organisational approaches promise better data management through the delivery of defined data products and the automation of real time data integration.

But to succeed both depend on getting their Data Quality foundations right. To work, Data Mesh requires high quality, well curated data sets and data products; Data Fabric also relies on high quality, standardised data and metadata which insulates data users from the complexities of multiple systems and platforms.  

This session will briefly recap the main concepts and practices of Data Mesh and Data Fabric and consider their implications for Data Quality Management. Will the Mesh and Fabric make Data Quality easier or harder to get right? As a foundational data discipline how should Data Quality principles and practices evolve and adapt to meet the needs of these new trends? What new approaches and practices may be needed? What are the implications for Data Quality practitioners and other data management professionals working in other data disciplines such as Data Governance, Business Intelligence and Data Warehousing?   

This session will include:

• A brief overview of the main concepts of Data Mesh and Data Fabric
• A review of the current state of Data Quality Management – its successes and failures
• An analysis of the impact of Data Mesh and Data Fabric on Data Quality Management – will they improve or worsen the Data Quality status quo?
• Practical guidance on how Data Quality Management needs to evolve to support these new data management approaches
• A suggested roadmap of actions which Data Quality practitioners and other data management professionals should implement to ensure they remain relevant in the new world of Data Mesh and Data Fabric.

[On April 5th, Nigel will run a full day workshop on Data Strategy, check the conference schedule for details.]