agentic-data-stack-community/data-core/checklists/data-pipeline-checklist.yaml

AI Agentic Data Stack Framework - Community Edition. Open source data engineering framework with 4 core agents, essential templates, and 3-dimensional quality validation.

# Data Pipeline Validation Checklist - Community Edition
# Core features checklist for basic data pipeline implementation

metadata:
  checklist_id: "data-pipeline-checklist-community"
  name: "Data Pipeline Validation Checklist - Community Edition"
  version: "1.0.0"
  description: "Essential validations for community data pipeline implementations"
  category: "technical-validation"
  tags: ["pipeline", "etl", "data-flow", "validation", "community"]
  created_by: "AI Agentic Data Stack Framework - Community"
  created_date: "2025-01-24"

# Basic Pipeline Design
pipeline_design:
  architecture:
    - [ ] Basic pipeline flow documented
    - [ ] Data sources and targets identified
    - [ ] Transformation logic defined
    - [ ] Error handling approach planned
    - [ ] Basic monitoring strategy outlined
    
  data_sources:
    - [ ] Source systems identified and accessible
    - [ ] Data formats and schemas documented
    - [ ] Source data quality assessed
    - [ ] Connection credentials secured
    - [ ] Sample data extraction verified

# Core Development Standards
development_standards:
  code_quality:
    - [ ] Code follows basic style guidelines
    - [ ] Functions and variables meaningfully named
    - [ ] Basic documentation provided
    - [ ] No hardcoded credentials
    - [ ] Error handling implemented
    
  version_control:
    - [ ] Code stored in version control
    - [ ] Commit messages are descriptive
    - [ ] Branching strategy defined
    - [ ] Code review process established

# Essential Testing
testing_validation:
  unit_testing:
    - [ ] Critical transformations unit tested
    - [ ] Data validation functions tested
    - [ ] Error scenarios covered
    - [ ] Test data sets created
    
  integration_testing:
    - [ ] End-to-end pipeline tested
    - [ ] Source-to-target mapping validated
    - [ ] Data quality checks verified
    - [ ] Performance acceptable for volume

# Basic Performance and Monitoring
performance_monitoring:
  performance_basics:
    - [ ] Pipeline execution time measured
    - [ ] Resource usage monitored
    - [ ] Bottlenecks identified
    - [ ] Basic scalability considered
    
  monitoring_setup:
    - [ ] Basic logging implemented
    - [ ] Error alerts configured
    - [ ] Success/failure tracking enabled
    - [ ] Basic metrics collection active

# Deployment and Operations
deployment:
  deployment_readiness:
    - [ ] Deployment process documented
    - [ ] Environment configurations managed
    - [ ] Rollback procedures defined
    - [ ] Basic backup strategy implemented
    
  operational_readiness:
    - [ ] Support procedures documented
    - [ ] Maintenance windows planned
    - [ ] Basic troubleshooting guide created
    - [ ] Contact information maintained

# Documentation
documentation:
  essential_docs:
    - [ ] Pipeline purpose and scope documented
    - [ ] Data lineage documented
    - [ ] Basic operations manual created
    - [ ] Known limitations documented
    - [ ] Contact information maintained

# Sign-off
sign_off:
  community_validation:
    - [ ] Basic functionality verified
    - [ ] Core requirements met
    - [ ] Basic quality checks passing
    - [ ] Documentation complete
    - [ ] Deployment ready