What is test strategy in ETL testing?

What is test strategy in ETL testing?

A test strategy is an outline that describes the test plan. It is created to inform the project team the objective, high level scope of the testing process. This includes the testing objective, methods of testing, resources, estimated timelines, environment etc.

How do you test data warehouse applications?

ETL Test Scenarios and Test Cases

1. Validate the source and target table structure against corresponding mapping doc.
2. Source data type and target data type should be same.
3. Length of data types in both source and target should be equal.
4. Verify that data field types and formats are specified.

How do you test data in ETL testing?

Eight stages of the ETL testing process

1. Identify business requirements — Design the data model, define business flow, and assess reporting needs based on client expectations.
2. Validate data sources — Perform a data count check and verify that the table and column data type meets specifications of the data model.

What is data warehouse in ETL testing?

ETL testing is a sub-component of overall DWH 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.

What are the five stages of ETL Testing?

ETL testing is performed in five stages:

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

What are the tools used for ETL Testing?

The Best ETL Testing Tools

• Bitwise QualiDI ETL Test Automation Platform.
• Codoid ETL Testing Services.
• Datagaps ETL Validator.
• iCEDQ.
• Informatica PowerCenter Data Validation.
• Original Software TestBench.
• QuerySurge Data Warehouse Testing.
• RightData.

What are the main goals of ETL testing?

Given the importance of early detection of software defects, let’s first review some general goals of testing an ETL application: Data completeness. Ensures that all expected data is loaded. Data transformation. Ensures that all data is transformed correctly according to business rules and/or design specifications.

How does table balancing work in ETL testing?

“Table balancing” or “production reconciliation” this type of ETL testing is done on data as it is being moved into production systems. To support your business decision, the data in your production systems has to be in the correct order.

How does ETL work in a data warehouse?

As the volume of data in a data warehouse grows, ETL load times can be expected to increase, and performance of queries can be expected to degrade. This can be mitigated by having a solid technical architecture and good ETL design.

What is the purpose of data warehouse testing?

The main purpose of data warehouse testing is to ensure that the integrated data inside the data warehouse is reliable enough for a company to make decisions on. What is ETL? ETL stands for Extract-Transform-Load and it is a process of how data is loaded from the source system to the data warehouse.