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How Data Mesh Platforms Connect Data Producers and Consumers
InfoQ - AI, ML & Data Engineering www.infoq.com
A challenge that companies often face when exploiting their data in data warehouses or data lakes is that ownership of analytical data is weak or non-existent, and quality can suffer as a result. A data mesh is an organizational paradigm shift in how companies create value from data where responsibilities go back into the hands of producers and consumers.
By Ben Lindersagile conferences ai big data challenge collaboration companies consumers create culture & methods data data lake data lakes data mesh data warehouse data warehouses face mesh ml & data engineering ownership paradigm platforms quality responsibilities shift value warehouses