Five tips for developing data products

Data products help standardize how raw data sets, data warehouse views, and data lake logical views are combined and used to deliver analytics and AI capabilities. By developing data products, teams can streamline much of the upfront data pipelines , governance , and management needed to deliver trusted data assets that people, tools, and AI can then use for different purposes. The way you cook a meal can serve as a helpful analogy.