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Governing data products using fitness functions
Decentralized data management requires automation to scale governance effectively. Fitness functions are a powerful automated governance technique my colleagues have applied to data products within the context of a Data Mesh. Since data products serve as the foundational building blocks of a data strategy, ensuring robust governance around them significantly increases the chances of success. Kiran Prakash explains how to do this, starting with simple tests for key architectural characteristics and moving on to leveraging metadata and Large Language Models. more…
Decentralized data management requires automation to scale governance effectively. Fitness functions are a powerful automated governance technique my colleagues have applied to data products within the context of a Data Mesh. Since data products serve as the foundational building blocks of a data strategy, ensuring robust governance around them significantly increases the chances of success. Kiran Prakash explains how to do this, starting with simple tests for key architectural characteristics and moving on to leveraging metadata and Large Language Models.
