Data Management with Ruby
summary
Claims that Ruby suffices for real data work and startups need not switch to Python are supported by concrete tooling and outcomes: uses Kiba and Faker for generation, builds a custom obfuscation tool Grazer that produces compliant SQL dumps for HIPAA-constrained production, preserves relationships across tables, and lets staging, BI, and testing run on realistic but non‑PII data. Empirical note: about 80/20 split between cleaning/prep and analytics, and the obfuscation approach reduces risk while keeping the app behaviour intact.
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chapters (18)
- 0:00Intro
- 2:37Data Management
- 6:27Ruby Engineer in 2022
- 9:39Ruby Data Engineer in the Real World
- 12:04When I will ever care about it?
- 14:33Does Ruby have enough to deal with it?
- 17:13Use Case - Healthcare App - HIPAA Compliance
- 18:37Challenges - Healthcare App
- 20:36Data Exposure
- 21:39Data Obfuscation - good enough solution
- 22:35Benefits of anonymized production database
- 23:37Data Encryption - DB Obfuscation techniques
- 24:35Data Tokenization - DB Obfuscation techniques
- 25:08Data Masking - DB Obfuscation techniques
- 26:17gem install 'faker'
- 29:06Work in Progress - gem install 'grazer'
- 33:24Conclusion
- 34:50Thank You and Questions are Welcome!
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