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How Postman Does Data Democratization
A story from the Postman Data team about decentralization, breaking down silos, and sublinear scaling
The world has more data than we know what to do with. As of 2020, the globally generated data volume has reached 40 zettabytes (i.e., 40 billion terabytes). Add to that massive volume the fact that data has also, in recent years, come to be seen as an immensely valuable currency.
The miners of this voluminous currency (data engineers, analysts, and scientists) are thus scrambling to build a range of new tools every day to extract knowledge and insights out of this valuable raw data. As a result of that wide range of tools (with new ones arriving all the time), deriving insights from data is becoming an increasingly siloed practice because everyone is using different tools.
Going a step further, decision-makers in every organization have to consume the parsed knowledge, understand it, and make decisions quickly. As the complexity of this process increases over time, decision-making becomes harder and harder. The complexity here comes in various flavors:
- Sheer volume of data
- Diversity of business rules
- Interpretation across various business/product domains