From the course: Data Mesh Architecture: Core Concepts

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Managing data as a product

Managing data as a product

- [Instructor] Data has historically been used as a service or in service of other goals. It is still used this way for the most part. When business leaders need data to make a decision, they often ask IT to give them the data they need. In this data as a service model, data is exchanged between the two groups. One group in this model has more power than the other, but not a lot of context about the data they own. They're also juggling this data as part of a bigger portfolio, which means that giving the right data to the right people isn't their only task. Data mesh isn't just an architecture pattern, it's also a mindset shift in your data's value. Data mesh promotes data as a product which views datasets and data domains as standalone products with their own features, managers, and life cycles. Using data as a product, your colleagues become users who need data to improve their own work. Let's say your data scientists needs data on revenue from last quarter's digital ad campaigns…

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