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The perils of building a democratic data platform

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The perils of building a democratic data platform
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56
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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It is clearly beneficial for an organization to make data-driven decisions, decentralize access to data processing and empower every team to generate valuable information. There are many ways to achieve these goals, but in an environment of rapid growth, building an accessible Data Platform is just the first step. What happens next determines its long-term success or its dramatic demise. In this presentation, we discuss the main perils of building a platform that processes over 80000 unique datasets built by 1000 people across different teams, how to avoid them, and where to go from there.