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ETL Validator Usecase - Transformation logic in input data source
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.
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ETL Validator gives quick and easy way to create test cases for profiling and comparing source & target data sources. Here, we will create a test case that will profile the data with various aggregates.
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 - Input/Output Fields Comparison
ETL Validator gives quick and easy way to create test cases for mapping and comparing data between Input and Output data sources. Here, we will create a test case that will compare the data between a Source and 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'
ETL Validator Usecase - Check for Mandatory Fields
ETL Validator gives quick and easy way to create test cases for checking mandatory fields. Here, we will create a test case that will identify records from Customers table that have a blank value in ‘First Name’ field and null value in ‘Marital Status’ field.
ETL Validator Usecase - checking for valid field and data format
This document describes how to use ETL Validator to check field formats through the creation of test cases and SQL queries. It provides step-by-step instructions to create a test plan, select tables and fields, add SQL queries to find records that violate field format rules, run the test, and view results. The key benefits of ETL Validator are listed as 100% test coverage, repeatability, cost reduction, faster time to market, and end to end testing.
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
This document provides steps to create a connection to a Tableau server in BI Validator for the purpose of automating tests. It outlines getting the necessary Tableau server details, downloading and installing TabCmd, configuring the TabCmd location in BI Validator settings, adding a new BI connection in BI Validator by selecting Tableau and entering the signin URL, Restful URL, and testing and saving the connection.
Subject Area Testing Automation in OBI Environment
BI Validator is a business intelligence testing automation platform that allows business analysts and QA teams to ensure dimensions and facts are properly designed in subject areas to prevent runtime errors. Users can select subject areas of interest, types of tests, and run automated tests that check for exceptions, marking failed tests. This significantly cuts down the manual testing time needed to check subject areas in a BI environment compared to doing so manually.
Importing Queries using Mass Import Tool
ETL Validator is a data testing automation platform that allows users to import source and target queries from an existing CSV file to quickly get started testing in ETLV. The CSV file must be in the proper format, with fields in a specific order, including parameters like select, connections, and file. Once imported, ETL Validator will automatically generate a "Query Test Case" for each row in the CSV to test the queries.
Query parameterization in ETL Validator
ETL Validator is a data testing automation platform that leverages reusable query parameters. It allows users to create parameters that can be used in building queries and modifying parameters values without having to edit the actual queries. Parameters can be created, reused across multiple queries, and modified either in the parameter tab or at the test plan level for flexibility. This streamlines data testing by avoiding repetitive query edits and enabling dynamic testing through parameterization.
Component Test Case Wizard in ETL Validator
The document describes how to use the Component Test Case Wizard in ETL Validator to identify differences between tables by leveraging the integration between Informatica and ETL Validator. The process involves selecting the source and target databases and tables, choosing whether to use queries from the Informatica log file or enter them manually, mapping source to target columns, running the test, and viewing any differences between the source and target tables.
ETL Validator: Referential integrity Testing
This document describes a referential integrity test tool that allows QA engineers to test that referential integrity requirements are met in a data warehouse. The tool allows the user to select a foreign key, database connection, and entities or joins to test. It runs the test and displays results, and allows the user to view the underlying query. The goal is to ensure referential integrity is maintained between different database tables.
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ETL Validator Usecase - Transformation logic in input data source
ETL Validator Usecase - Transformation logic in input data source
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ETL Validator Usecase - Validating Measures, Counts with Variance
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ETL Validator Usecase - Data Profiling and Comparison
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ETL Validator Usecase - Testing Transformations or Derived fields
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ETL Validator Usecase - Input/Output Fields Comparison
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ETL Validator Usecase - checking for LoV conformance
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ETL Validator Usecase - Check for Mandatory Fields
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ETL Validator Usecase - checking for valid field and data format
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- 1. <Insert Picture Here> Validating Flat Files Using ETL Validator Easy. Fast. Repeatable
- 2. Use Case • As a QA Engineer, I want to validate an incoming flat file and ensure that the data is as expected • Pre Requisite • Successful ETL Validator Login
- 6. “Drag & Drop Flat File Component”
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