Enterprise App Dev leaders face mounting challenges in managing test data effectively. From managing large volumes of data across multiple systems and environments, to ensuring the security and quality of data for downstream teams, addressing these obstacles is critical for success today.
How do you ensure your strategy delivers on both quality and speed at scale?
Perforce Delphix experts Matt Yeh and Nick Mathison deep dive into five different approaches to enterprise test data management. watch now to gain:
- A comprehensive look at 5 strategies for test data management: the 4 ‘S’s of subsetting, synthetic data generation, static masking, sharing production data, plus a 5th strategy centered on data virtualization.
- Best practices for delivering test data in minutes vs. days or weeks.
- Insights on the benefits of combining data virtualization and masking for secure, high-quality test data.
- Real-world success stories from companies doing test data management at scale.
Presenters
Matthew Yeh, Vice President, Product Marketing, Delphix
View all content by Matthew Yeh, Vice President, Product Marketing, Delphix
Nick Mathison
Nick Mathison has debugged the database provisioning nightmare from both sides—as an integrations developer writing the code and as a product leader managing enterprise deployments at scale. As a Senior Product Manager at Delphix, he helps testing and data engineering leaders turn data from a multi-day bottleneck into self-service automation, leading Data Control Tower and PaaS Data Automation to orchestrate compliant data safely across cloud environments. He speaks the language of practitioners who are tired of weekend escalations and ticket queues.