Transform the financial transaction data to match the data format and schema of the other sources before loading it into the data warehouse, ensuring data consistency and enabling real-time analytics.

Create a separate schema within the data warehouse to accommodate the unique data format and schema of the financial transaction system, allowing for direct querying but increasing maintenance complexity.

Exclude the financial transaction data from the data warehouse due to the differences in data format and schema, focusing on the remaining data for analytics.

Use a data virtualization approach to access the financial transaction data without physically loading it into the data warehouse, reducing storage costs but potentially impacting query performance.