---
id: "prereq-data-engineering"
type: "prereq"
source_timestamps: ["00:06:45", "00:07:40"]
tags: ["data-architecture", "schemas"]
related: ["claim-agents-not-data-organizers", "action-establish-source-of-truth", "concept-legibility-of-surfaces"]
reason: "Required to understand why agents will destroy data integrity if not constrained by strict schemas."
sources: ["s53-agent-100x-review-3x"]
sourceVaultSlug: "s53-agent-100x-review-3x"
originDay: 53
---
# Data Engineering Fundamentals

## What You Need to Know

The video assumes the listener is comfortable with:

- **Data schemas** and the consequences of weakly typed or missing schemas
- **Relational databases** and referential integrity
- **Source-of-truth management** when systems disagree
- The downstream effects of **"dirty data"** on metrics and funnels

## Why It Matters

Without this background, the warning that agents are **"messy data engineers"** lacks impact, and the corrective in [[action-establish-source-of-truth]] sounds like bureaucracy rather than engineering hygiene.

Directly underpins [[claim-agents-not-data-organizers]] and the observability argument in [[concept-legibility-of-surfaces]].