ETL Validator for Testing Transactional Systems

ETL-Validator-for-Testing-Transactional-Systems-16

Most of the use cases that we encounter are for DW scenarios. However, recently, we are also seeing many scenarios for testing transactional systems. This blog is to highlight on one such example.

The customer offers a survey related product and the configuration/setup is driven primarily by database level configurations across many tables. They provide a means for customers to develop using a “Development” database, once everything looks good, move the data to “Stage” and then to “Production” once UAT is complete. While this process may seem pretty straight forward, one of the key challenges for them is  that when they push the data from lower environments to upper environments, few records may fail to get copied over properly and the surveys were not getting pushed as expected to mobile devices. This was resulting in customer unhappiness and more time for support to uncover the parameters that failed to get copied to production.

Now, with ETL Validator, they are able to easily compare the data across Dev, Stage and Production, increase customer satisfaction levels and minimize support time by more than 60%.

ABOUT DATAGAPS:

Our vision is empowering our customers with trustworthy Business Intelligence and Data.

Who We Are:

Trusted Globally by more than 70 Companies for Data Test Automation Solutions

Datagaps is passionate about data-driven testing automation. Our flagship solutions, ETL Validator, Data Flow & BI Validator are designed to help customers automate the testing of ETL, BI, Database, Data Lake, Flat File, XML Data Sources. Our tools support Snowflake, Tableau, Amazon Redshift, Oracle Analytics, Salesforce, Microsoft Power BI, Azure Synapse, SAP BusinessObjects, IBM Cognos etc. data warehousing projects and BI platforms.

Mission Statement:

Datagaps was started in the year 2010 with the mission of building trust in enterprise data and reports. We provide software for ETL Data Automation, Data Synchronization, Data Quality, Data Transformation, Test Data Generation, and BI Test Automation. Datagaps is an innovative company focused on providing the highest customer satisfaction.

Datagaps-logo-1536x406-1

Established in the year 2010 with the mission of building trust in enterprise data & reports. Datagaps provides software for ETL Data Automation, Data Synchronization, Data Quality, Data Transformation, Test Data Generation, & BI Test Automation. An innovative company focused on providing the highest customer satisfaction. We are passionate about data-driven test automation. Our flagship solutions, ETL ValidatorDataFlow, and BI Validator are designed to help customers automate the testing of ETL, BI, Database, Data Lake, Flat File, & XML Data Sources. Our tools support Snowflake, Tableau, Amazon Redshift, Oracle Analytics, Salesforce, Microsoft Power BI, Azure Synapse, SAP BusinessObjects, IBM Cognos, etc., data warehousing projects, and BI platforms.  www.datagaps.com 

Related Posts:

Data Quality

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

Synthetic Data

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

ETL Testing

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

BI Validation

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.
Products
product_menu_icon01

DataOps Suite

End-to-End Data Testing Automation

product_menu_icon02

ETL Validator

Automate your Data Reconciliation & ETL/ELT testing

product_menu_icon03

BI Validator

Automate functional regression & performance testing of BI reports

product_menu_icon04

DQ Monitor

Monitor quality of data being Ingested or at rest using DQ rules & AI

product_menu_icon05

Test Data Manager

Maintain data privacy by generating realistic synthetic data using AI

About
Free Trial