Updates, tutorials, and deep dives into the world of synthetic data generation.
Eliminate flaky tests by deriving every single data point from a seed. Learn how to lock in difficult edge cases like "exactly 3 failed payments" for permanent regression testing.
Simulate 10M+ row datasets on your laptop. Validate partitioning strategies and catch N+1 queries before they crash production.
Learn why "Schema Drift" blocks automation and how Aphelion's --auto-approve flag enables safe, hands-free CI/CD.
Generate realistic healthcare test data without exposing PHI. Learn the compliance requirements, best practices, and tools for HIPAA-safe synthetic data.
From manual SQL scripts to automated tools—learn the best practices for seeding PostgreSQL databases with foreign keys, constraints, and realistic data.
Generate realistic EHR data with proper clinical relationships, ICD-10 codes, and HIPAA compliance. Built for healthcare engineering teams.
Stop testing with random numbers. Generating mathematically correct double-entry ledgers, ML-ready fraud patterns, and PCI-DSS compliant data sets.
Comprehensive support for healthcare standards covering 100% of the clinical domain. Compatible with OHDSI research tools and OpenMRS EHR.
Simulate the entire insurance lifecycle. From policy issuance to complex claim adjudication workflows.
Simulate the entire shopping journey. Generate massive product catalogs, realistic user behavior, and complex order streams.