When performing API and integration testing, DevOps and QA teams often spend an inordinate amount of time waiting for test data. This causes delays that can impact the sprint or the entire delivery. To keep from getting your application testing stalled, you need access to realistic test data on demand.
Virtual test data clears the path to continuous testing. Test data management monitors actual traffic and data patterns to generate data models from the interactions in your system, and automatically infers information about the data to make it easier for non-technical users to get the test data they need. By using synthetic data with your virtual services, you can test for a wide variety of conditions, both common and corner cases.
Join this session to learn how to:
* Automatically create data models to generate test data and easily update it as often as needed.
* Extract data from any source, create synthetic data, and mask any sensitive data for use with virtual services.
* Store and manage the data in the integrated repository for quick and easy access.
* Snapshot the data to easily roll forward and backward to set specific conditions and points in time.