Data Validation & ETL Testing Webinars

Webinar Series

Webinar call

4-Part Series on Automating
your Data Validation & ETL Testing

QuerySurge is hosting a weekly webinar series with topics on automating the data validation and ETL testing of data stores for continuous testing.

And each webinar is only 30 minutes long!

Below are the webinars in the current series. We recommend attending all 4 for the complete picture, but you can register for them separately or in any combination you choose.

  • General Data Testing
  • Business Intelligence Report Testing
  • DevOps for Data Testing
  • Flat File Testing

QuerySurge and Data Testing

Wednesday, Sept 15th at 12:30pm ET

During this session, the presenter will take a typical data warehouse / ETL use case and provide a walkthrough of a standard workflow with QuerySurge.

The session will showcase the creation of QueryPairs, organizing QueryPairs into Test Suites, scheduling Suites for execution, and performing analysis of the test results.

QuerySurge and Business Intelligence Testing

Thursday, Sept 23rd at 12:30pm ET

During this session, the presenter will showcase QuerySurges Business Intelligence (BI) report testing feature – BI Tester. This will entail setting up a connection to a BI server, creating queries that capture data from various BI reports, and executing tests that compare report data to either a backend database or other BI reports.

QuerySurge and DevOps for Data

Wednesday, Sept 29th at 12:30pm ET

During this session, the presenter will demonstrate QuerySurges DevOps for Data API.

This session will demonstrate use cases that will show how QuerySurge items can be created and modified through our RESTful API.

In addition, the presenter will demonstrate how tests can be executed in an event-based scenario where results can be exported and analyzed.

QuerySurge and Flat Files

Thursday, October 7th at 12:30pm ET

During this session, the presenter will demonstrate how QuerySurge can interact with different file types.

The session will showcase how to handle files that contain data in non-tabular format, such as XML or JSON files and how QuerySurge can access this data whether the files reside locally or in a cloud platform.