Use cases — Test Data Management Guide

Fundamentals The foundations of test data management: terminology, the data lifecycle, and why teams adopt it in the first place.

Methods Approaches to provisioning safe, realistic test data: subsetting, masking, synthesis, and hybrid pipelines.

Compliance Keeping non-production environments compliant with GDPR, HIPAA, and PCI-DSS — without slowing engineering down.

Comparisons Evaluations of the platforms teams use for test data — Tonic Structural, Delphix, Redgate, and others.

Workflow How to implement test data management approaches within your existing tech stack and CI/CD pipeline.

Use cases What teams do with test data day to day, from QA automation and local development to demo environments and load testing, and what each job demands of the data.

Test data for microservices and distributed systems