Title: Discussion 13 — Lake, Warehouse, or Both?
Course: AIINFRA 100: AI Systems & Development Environments > Section: Week 13 — Data & Storage Infrastructure for AI

💬 Discussion 13 — Lake, Warehouse, or Both? (20 pts)

Think of an organization you're familiar with — a past or current employer, a school, a local business, or even a hobby project — and consider the kinds of data it generates or collects (sales records, customer emails, sensor readings, photos, social media posts, etc.). In your initial post, answer:

- What types of data does this organization have, and would you store them in a data warehouse, a data lake, or a lakehouse? Why?
- Pick one piece of data from your example and describe which file format (CSV, JSON, or Parquet) would make the most sense for it, and why.
- Name one data-quality risk (from accuracy, completeness, consistency, timeliness, representativeness/bias, or recency) that this organization's data might be especially vulnerable to.

Then respond to at least two classmates — do you agree with their warehouse/lake/lakehouse choice? Can you think of a data-quality risk they didn't mention?