Databricks Shares Guide for High-Quality Data Products
Databricks has published recommendations on building high-quality, trustworthy data products, emphasizing the importance of data quality and usability for organizations making data-driven decisions. The company encourages assigning dedicated data product owners and applying "product thinking" to manage and monitor data assets, whether or not enterprises use a data mesh structure. The advice is aimed at helping users deliver the right data in the right format, reliably.
- Recommendations focus on quality, usability, and trust
- Applies to all data architectures, not just data mesh
- Stresses need for data product owners
- Defines good data products as those that facilitate results
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