You are responsible for ensuring that the data in your company's data warehouse is consistent, reliable, and easily accessible. Recently, there have been complaints about data discrepancies. Which stage in the ETL process should you primarily focus on to resolve these issues?

The Transformation stage is where data discrepancies are often addressed. During transformation, data is cleaned, normalized, and validated to ensure consistency and reliability. This stage is critical for data quality and consistency in the data warehouse. Extraction involves collecting data, Loading is about data loading into the warehouse, and Data Ingestion is the process of bringing data into the system.