Module 4: Distributed processing and scale

Module 4: Distributed processing and scale#

AINS6006 — Big Data Management for AI Applications

Essential Question#

When does scale require distributed computation?

Core Moves#

  • Define the problem boundary

  • Identify evidence and assumptions

  • Build or evaluate the artifact

  • Communicate limits and next actions

Lab & Assignment#

Profile batch processing and identify bottlenecks.

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