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Best Practices for Data Engineering

How to set up stable Data Pipelines

Photo by David Sink on Unsplash

During my work in the field of data engineering and analytics, I have identified 5 best practices that are essential for stable data processes. Hopefully, these can also help you to safely and correctly realize data transfers— because only with correct data, solid analyses be built.

Prevent Errors

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