Practical best practices to prepare legacy ETL pipelines for cloud platforms like ADF, AWS Glue, Databricks, and IDMC.
CoeurData Editorial Team • 5 min readRead guide →
A guide to identifying misuse of ETL tools that leads to poor performance, maintainability issues, or architectural drift.
CoeurData Editorial Team • 4 min readRead guide →
A practical guide to common ETL anti-patterns that hurt performance, reliability, and maintainability, plus better designs to replace them.
CoeurData Editorial Team • 6 min readRead guide →
A practical ETL code review checklist covering structure, performance, housekeeping, data quality, governance, and deployment readiness.
CoeurData Editorial Team • 7 min readRead guide →
Practical naming and design conventions that improve clarity, consistency, and maintainability across ETL and ELT pipelines.
CoeurData Editorial Team • 3 min readRead guide →
Key housekeeping and operational readiness practices for stable, observable, and well-run ETL and ELT pipelines.
CoeurData Editorial Team • 4 min readRead guide →
A practical maintainability checklist covering naming, modularity, documentation, testing, and configuration management.
CoeurData Editorial Team • 4 min readRead guide →
Design principles for resilient and restartable ETL and ELT pipelines that can recover from failures gracefully.
CoeurData Editorial Team • 4 min readRead guide →
A practical SLA template for enforcing ETL and ELT code quality standards with external vendors and development partners.
CoeurData Editorial Team • 5 min readRead guide →
Modernization
Quality
Governance
Discipline
Operations
Maintainability
Resilience