Data mesh is rapidly gaining traction as a modern, decentralized approach to data architecture and management, enabling data professionals to own and manage their data as products. This approach allows organizations to drive data-driven innovation, improve data quality, and respond more quickly to changing business needs. But while data mesh offers significant advantages, it also introduces unique challenges due to the increased responsibilities and broader skill sets required for domain teams to effectively manage their data products end-to-end.

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