Best practices for data transformation as pipeline complexity grows

Data transformation is a crucial process in modern data platforms, as it transforms raw data into actionable insights. The correct approach to data transformation is vital for efficiency, scalability, and data integrity. DoubleCloud's approach to data transformation includes ingestion-level transformations, materialized views, dbt for complex workflows, and Airflow for the most complex orchestration tasks. Additionally, they emphasize simplicity and maintainability as key goals, denormalization in data warehousing, performance considerations for real-time analytics, security and compliance throughout the transformation process, and considering the end-use of the transformed data.