What is unit testing with example?

What is unit testing with example?

1. Amount transfer ----- ----------------------------- 1.1.1 FAN→ accept only 4 digit 1.2 To account no (TAN)→ Text Box 1.2.1 TAN→ Accept only 4 digit 1.3 Amount→ Text Box

What are the types of testing in ETL?

ETL testing fits into four general categories: new system testing (data obtained from varied sources), migration testing (data transferred from source systems to data warehouse), change testing (new data added to data warehouse), and report testing (validate data, make calculations).

What are the five stages of ETL testing?

- Identifying data sources and requirements. - Data acquisition. - Implement business logic and Dimensional Modeling. - Build and populate data. - Build Reports.

How do you do ETL Testing?

- Identify your business requirements. ... - Assess your data sources. ... - Create test cases. ... - Begin the ETL process with the extraction. ... - Perform the necessary data transformation. ... - Load the data into the target destination. ... - Document your findings.

What do we do in ETL Testing?

ETL testing confirms that the data we have extracted, transformed, and loaded has been extracted completely, transferred properly, and loaded into the new system in the correct format. Testing can also help identify and prevent issues with data quality during the ETL process, such as duplicate data or data loss.1 dic 2020

What is difference between data warehouse and ETL Testing?

A data warehouse is essentially built using data extractions, data transformations, and data loads. ETL processes extract data from sources, transform the data according to BI reporting requirements, then load the data to a target data warehouse.29 oct 2018

How do you test ETL pipeline?

- Specify business requirements. ... - Define test cases. ... - Extract data and run tests. ... - Transform data and run tests. ... - Load data into the target database and run tests. ... - Run end-to-end tests.

When ETL testing is performed?

ETL testing is done to ensure that the data that has been loaded from a source to the destination after business transformation is accurate. It also involves the verification of data at various middle stages that are being used between source and destination.11 dic 2021