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Data Engineering Standards

Data Philosophy

Our data engineering practices focus on scalability, reliability, and maintainability while ensuring data quality and accessibility.

Data Architecture​

High-Level Overview​

ETL/ELT Pipeline​

Data Flow​

Data Modeling​

Schema Design​

Data Quality​

Quality Framework​

Data Governance​

Governance Structure​

Data Pipeline Monitoring​

Monitoring Metrics​

Data Storage​

Storage Layers​

Data Security​

Security Framework​

Data Catalog​

Metadata Management​

Performance Optimization​

Optimization Areas​

Disaster Recovery​

Recovery Strategy​

Best Practice

Always document data lineage and maintain clear metadata for all data assets.