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.
Definition
A data processing pattern where large volumes of data are collected, stored, and then processed together at scheduled intervals. Contrasts with stream processing where data is handled immediately.
Why it matters
Cost-effective for non-time-sensitive analytics like daily pipeline reports and monthly revenue summaries.
Related terms in Data Engineering
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."
Data Pipeline
The automated plumbing that moves data from where it's collected to where it's analyzed and used.
From vocabulary to outcomes
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