Success Criteria
The context and use case determine which of the previously mentioned characteristics, if any, are important and necessary to the evaluation. The most common evaluation criteria include:
• Testing with specific BI and ETL tools. How will the data get in and out?
• Check that porting a schema and data from an existing platform works well.
• Check that a single-user run of a set of queries works well.
• Check that multiple concurrent users can also be supported without performance slowing down to unacceptable levels.
• Check that the performance of data loading meets the use-case needs.
• Draft an architecture design for scaling to support the target levels of users and data needed for production.