Module 2: Pipelines, orchestration, and quality

AINS6006 — Big Data Management for AI Applications

Essential Question

How do data pipelines fail, and how are failures detected?

Core Moves

• Define the problem boundary

• Identify evidence and assumptions

• Build or evaluate the artifact

• Communicate limits and next actions

Lab & Assignment

Build a small quality-checked pipeline.

Use the assignment notebook to turn lab evidence into a defensible recommendation.