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Data engineering turns raw data into insights. You need a reliable platform to make good decisions.

Start with clear goals. Define success before you build. This stops over-engineering.

Build a simple system first. Add features after it works. Test every edge case. Automated tests stop bugs.

Watch your system in production. Track error rates and performance. Set alerts for human intervention.

Big problems hide traps. Break them into small parts. Test each part alone.

Avoid building for scale you do not have. Track technical debt. Keep things simple. Simple systems are easier to fix.

Follow these rules:

Try this plan:

Source: https://dev.to/therizwansaleem/data-governance-for-engineering-teams-privacy-compliance-and-quality-5agd