Welcome to Data Governance & Security! Remember how we built automated, monitored pipelines? Now we'll secure them with proper access controls and compliance frameworks.
Production data pipelines often handle sensitive information—customer data, financial records, personal information. Without governance, you're creating security and compliance risks.
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What's one risk of giving everyone access to sensitive customer data in your pipeline?
Data governance is like having security guards and rules for your data building. It controls who can access what data, tracks where data comes from, and ensures compliance with regulations.
Think of it as your data's security system and audit trail combined.
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Does this make sense?
Role-Based Access Control (RBAC) is your first line of defense. Instead of giving individual permissions, you create roles like "Data Analyst," "ML Engineer," or "Dashboard Viewer."
Each role gets specific permissions: read production data, modify pipelines, or view sensitive fields.
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Useful, no?
Data lineage tracks your data's journey from source to destination. It shows which transformations happened, when they ran, and who made changes.
This is crucial for debugging issues and proving compliance to auditors.
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What is one situation where having full data lineage is essential?
Compliance controls ensure your pipelines follow regulations like GDPR's right to be forgotten or HIPAA's encryption requirements. These aren't optional—they're legal requirements.
Your governance framework must enforce these automatically, not rely on manual compliance.
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What could happen if your data pipeline accidentally exposes personal information?
