Use a single-stage ETL process to load all data into the data warehouse and perform all transformations and analysis there, without considering the data model optimization.

Design a multi-stage ETL pipeline with appropriate data modeling techniques, such as star schema or snowflake schema, to optimize the data model for query performance.

Use a traditional file-based storage system to store the data, as it is more cost-effective than using a data warehouse.

Focus only on the ETL process and ignore the data modeling aspect, as it is not relevant to query performance.