Part 11/13:

• Processes: Standardize testing, validation, and certification procedures for data pipelines.

• Tools: Embed observability tools—including white-box monitors—into systems for real-time health checks and anomaly detection.

Sesh advocates for applying reliability engineering principles—originally developed in manufacturing and aerospace—to data management, reinforcing that quality over time hinges on disciplined processes and monitoring.

Practical Steps Toward Reliable Data

Summarizing his approach, Sesh recommends:

• Testing early: Validate data pipelines during development with rigorous unit and integration tests.

• Monitoring continuously: Implement operational checks at every stage—from raw data intake to final output sampling.