The Joe Reis Show Zhamak Dehghani - Autonomous Data Products, Data Mesh, and NextData - Q&A
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May 3, 2025 Zhamak Dehghani, the visionary behind Data Mesh and founder of NextData, dives into the world of autonomous data products. She discusses the hurdles in managing multi-channel sales data and the need for robust data models. The conversation shifts to the data mesh framework, emphasizing usability and quality control. Zhamak also highlights the importance of building independent data flywheels for innovation and addresses the integration challenges of dbt in a decentralized architecture. Her insights promise to reshape the future of data management.
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Defining Data Products
- A data product is an autonomous, domain-centric data supply chain packaged as one manageable unit.
- It should generate, govern, and provide accessible, trustworthy data, hiding internal complexity from users.
Quality Control Limits Product Management
- Product management is crucial but often powerless if quality and control in data generation are lacking.
- Without automated, reliable data pipelines, product managers cannot guarantee data product quality or user satisfaction.
Data Flywheels as Autonomous Products
- Autonomous data products act like encapsulated data flywheels focusing on single semantic domains.
- Multiple independent data flywheels can interact but should be autonomously managed and domain-specific.