dataops_best_practices
Comprehensive guide to DataOps practices for production data systems.
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# DataOps Best Practices Comprehensive guide to DataOps practices for production data systems. ## Table of Contents 1. [Data Testing Frameworks](#data-testing-frameworks) 2. [Data Contracts](#data-contracts) 3. [CI/CD for Data Pipelines](#cicd-for-data-pipelines) 4. [Observability and Lineage](#observability-and-lineage) 5. [Incident Response](#incident-response) 6. [Cost Optimization](#cost-optimization) --- ## Data Testing Frameworks ### Great Expectations ```python # great_expectations
How to Use
Recommended: Install to project (local)
mkdir -p .claude/skills
curl -o .claude/skills/dataops_best_practices.md \
https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/senior-data-engineer/references/dataops_best_practices.mdSkill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.
Alternative: Clone full repo
git clone https://github.com/alirezarezvani/claude-skillsThen reference at engineering-team/senior-data-engineer/references/dataops_best_practices.md
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