Data Profile Test Plan
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This data testing company provides a data profile test plan tool that allows QA engineers to define rules for data entities to ensure data adheres to those rules. The presentation explains how to design an entity model in their ETL Validator tool so the test plans can be reused over time. Users can select an entity, choose attributes to define rules for, run the test, and view results that focus on data that failed to meet the defined rules.
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This document discusses using ETL Validator to test derived fields in target data by using transformation logic defined in source data. It provides step-by-step instructions to create a test case validating a 'cust_level' field derived in target based on logic in source. The test case executes the queries, identifies differences between target and transformed source data, and provides results that can be exported or viewed as a report. ETL Validator allows comprehensive testing of ETL processes through automation, repeatability, and validation of data across sources and targets.
ETL Validator Usecase - Validating Measures, Counts with Variance
ETL Validator gives quick and easy way to create test cases for comparing counts and measures of source & target data sources. A variance can be specified too. Here, we will create a Checksum test case that will compare measures and counts. The same functionality is also implemented in Component test case using 'Measure Validation'.
ETL Validator Usecase - Checking for Duplicates
ETL Validator gives quick and easy way to create test cases for identifying Duplicates in data sources. Here, we will create a test case that will identify duplicates of First Name + Last Name.
ETL Validator Usecase - Testing Transformations or Derived fields
ETL Validator gives quick and easy way to create test cases for mapping and comparing transformed data between Source and Target data sources. Here, we will create a test case that will identify differences between Source and transformed data in Target table.
ETL Validator Usecase - checking for LoV conformance
ETL Validator gives quick and easy way to create test cases for checking conformance with list of values. Here, we will create a test case that will identify records from Customers table that 'Marital Status' <> 'Married' or 'Single' or 'Divorced'
Web Service Connection - using WS Security
ETL Validator helps with testing Cloud Applications using Web Service connections. It supports SOAP Services as a data source with Login Operation.
Web Service Connection - using Login Operation
The document discusses connecting to a SOAP web service data source using ETL Validator. It involves the following steps:
1. Selecting a SOAP web service data source and providing the WSDL file.
2. Creating an authentication using a login operation, specifying session ID and password parameters and testing the login request.
3. Saving the authentication details to connect to the web service and extract data using SOAP requests.
Bi validator Tableau Setup
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ETL Validator Usecase - Transformation logic in input data source
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教育部文凭学历认证认证的用途：
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Data Profile Test Plan
- 1. <Insert Picture Here> datagaps The data testing company Data Profile Test Plan
- 2. Objective • As a QA Engineer, I should be able to ensure that the data in a specific entity (table) adheres to a set of rules that I defined
- 3. This Deck • The following slides explain how a data entity model can be designed in ETL Validator so that the aforementioned use cases can be reused over time
- 4. Upon Login, system displays the Home Page
- 5. Click on the Menu
- 6. Select the Data Rules Test Plan
- 8. •Data Entities defined in the Data Model will show up here
- 9. •Expand the entity to see the attributes
- 10. Select an attribute and define rules..easy!
- 11. •Click on Run
- 12. •Results will be displayed here. User can focus only on failed ones (data did not adhere to the rules)