The undoubted value of being able to access, combine and share analytical data products across the enterprise is often diluted by the complexity and slow time to market to deliver them. The Data Mesh concept proposes a divide and conquer approach to accelerate the delivery of data and analytic products.
While dividing large problem spaces into smaller, more tractable components is fundamental to success, organizations should proceed with caution to avoid creating a new generation of overlapping, redundant data silos.
This whitepaper outlines practical steps to deploying the Data Mesh concept as an effective foundation for enterprise analytics.
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