Leverage synthetic data and mitigate the risk of using production data in Dev/Test environments

Leverage synthetic data and mitigate the risk of using production data in Dev/Test environments

Join us for this exclusive webinar "Leverage synthetic data and mitigate the risk of using production data in Dev/Test environments" to hear the benefits on how Validata ConnectIQ is reducing the risks of using production data in non-production environments, addressing the data friction in the CI/CD process for your Temenos applications.

Speakers



Adonis Celestine
Lead Solution Architect, QEA, Cognizant


Kiki Moraiti
Product Owner, Validata Group
Date: February 9th, 2021
Time: 17:00 pm CET
Intended audience: Testers, Developers, DBAs, IT, Business Analysts

Register here

Using production data for testing will only provide as much as 20% functional coverage and focuses testing only on the ‘happy paths.’ in addition, creating physical copies of production databases, leads to increased storage and infrastructure costs, long data provisioning cycles, and too much time wasted to create and refresh physical copies every time there is a change.

ConnectIQ is a cloud-native DataOps and AI platform, that generates and secures all the data needed for rigorous testing and development, and provisions it to distributed teams on demand within data centers and across private, hybrid and public clouds.

ConnectIQ, looks at your existing datasets and uses AI to automatically create synthetic data for missing data combinations, for data virtualization or excess scenarios on demand. Endless amounts of data can be created. With secure, multi-tenant data sharing capabilities, it automatically masks and shares data to downstream environments. Data can be shared and reused across different models and pipelines.

Synthetic and virtual data generated with ConnectIQ include outliers, boundary conditions, equivalence partitioning and erroneous data that almost certainly will not appear in your production data. This means you can improve testing efficiency, eliminate long test data provisioning times and mitigate the risks of using sensitive production data.
  • Increase data agility in QA and DevOps with a DataOps platform
  • Identify and protect sensitive data and stay compliant with regulations such as GDPR
  • Generate realistic synthetic data but without the sensitive content
  • Deliver zero-byte virtual copies of production data for non-production use cases
  • Provide on-demand access to test data through a self-service portal and accelerate software releases.
  • Seamless integration across test automation, DevOps and DataOps tools
  • Accelerate project delivery and application releases with 100x faster data provisioning

We look forward to joining us!




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