Data Engineering
Data Governance
The policies and processes that ensure your data is accurate, secure, accessible, and compliant with regulations.
Definition
The organizational framework for managing data availability, usability, integrity, and security. Includes data quality standards, access controls, lineage tracking, and regulatory compliance (GDPR, CCPA).
Why it matters
AI is only as good as its data. Without governance, you build models on a foundation of sand.
Related terms in Data Engineering
Batch Processing
Processing a large group of data all at once on a schedule, rather than one piece at a time in real-time.
Chunking Strategies
Chopping up long documents into small, bite-sized pieces so an AI can search and read them easily.
Data Augmentation
Creating fake but realistic training examples (like flipping or rotating images) to give the AI more data to learn from.
Data Labeling
The human work of tagging data with correct answers so an AI can learn from it, like marking photos as "cat" or "dog."
From vocabulary to outcomes
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