Data warehousing test cases

How do you write a test case for ETL testing?

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1. Ensure that all expected data is loaded into target table
2. Compare record counts between source and target
3. Check for any rejected records
4. Check data should not be truncated in the column of target tables
5. Check boundary value analysis
6. Compares unique values of key fields between data loaded to WH and source data

What are data warehouse use cases?

Moreover, the data warehouse testing strategy involves two key testing elements- ETL and business intelligence (BI) testing.
The ETL testings assess the system's extraction, transformation, and loading processes.
On the other hand, BI testing checks the accuracy of BI reports and dashboards..

What is system testing in data warehouse?

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1. Ensure that all expected data is loaded into target table
2. Compare record counts between source and target
3. Check for any rejected records
4. Check data should not be truncated in the column of target tables
5. Check boundary value analysis
6. Compares unique values of key fields between data loaded to WH and source data

What is the data warehouse test approach?

Data integrity can be compromised when data is created, integrated, moved, or transformed.
BI/data warehouse testing is designed to prevent data integrity issues by exposing the problem early and automatically..

What is the main use of data warehouse testing tool?

Drop weight tear testing is a material characterisation test aimed at avoiding brittle fracture and ensuring crack arrest in pipelines (seamless or welded).
The DWTT specimen is illustrated in Fig. 1..