Scaling Data Governance For Global Businesses With A Data Hub Architecture - Episode 123

Data governance is a complex endeavor, but scaling it to meet the needs of a complex or globally distributed organization requires a well considered and coherent strategy. In this episode Tim Ward describes an architecture that he has used successfully with multiple organizations to scale compliance. By treating it as a graph problem, where each hub in the network has localized control with inheritance of higher level controls it reduces overhead and provides greater flexibility. Tim provides useful examples for understanding how to adopt this approach in your own organization, including some technology recommendations for making it maintainable and scalable. If you are struggling to scale data quality controls and governance requirements then this interview will provide some useful ideas to incorporate into your roadmap.

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This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.