Use a single-stage ETL process to load all data into a central repository and perform all transformations and integration there, without considering data consistency and accuracy.

Design a multi-stage ETL pipeline with data validation and reconciliation steps to ensure data consistency and accuracy across the sources, leveraging data quality tools and techniques.

Use a traditional file-based approach to integrate the data, as it is more cost-effective than using an ETL pipeline.

Focus only on the ETL process and ignore the data integration aspect, as it is not relevant to data consistency and accuracy.