Part 6/13:

These examples reinforce that failures occur when quality assurance is neglected upfront. Relying on end-stage testing or monitoring is akin to trying to fix a problem after catastrophe strikes, emphasizing that quality and reliability must be embedded throughout the process.

Differentiating Data Quality from Data Reliability

A core concept introduced by Sesh is the distinction between data quality and data reliability. While data quality is a snapshot—an "instance in time"—data reliability measures the consistency of data quality over time.