Test data is the lifeblood of application development and testing. But it can also be one of the greatest hindrances for teams. Slow provisioning, ensuring compliance and security, and manual management can lead to delays and slower time-to-market for applications.
The need to protect, automate, and utilize data at scale across the DevOps lifecycle is more critical to enterprises than ever before. AI provides increased opportunity for test data management—but it also provides more uncertainty.
In this webinar, BlazeMeter and Delphix experts will show you how to transform your test data management and application delivery through innovative solutions and tools. Attendees will come away with an understanding of data virtualization, data masking for security and regulatory purposes, and automating testing and test data management into their CI/CD pipeline.
Watch this webinar to learn:
- How to accelerate test data provisioning and eliminate manual processes.
- Best practices for secure test data management and compliance.
- How to integrate end-to-end automated testing with test data management.
- And more!
Are you getting the most out of your test data? Join this webinar to find out how to maximize the power and utility of your test data.
Next Steps
Ready to speed up releases and automate test data? Request your Delphix demo today and empower your teams with automated, compliant data delivery.
Additional Resources:
- Ultimate Guide: Test Data Automation
- Blog: Test Data Strategy for the Enterprise
- Solution: Test Data Management
Presenters
Clinton Sprauve
Steve Karam
Steve Karam is an enterprise technologist and outcome-driven leader with diverse expertise in customer success, product management and engineering, education, SaaS, cloud, data technologies including AI/ML and natural language processing, and beyond across nearly every market vertical. A restless and relentless learner and advocate for personal and team growth who works primarily with federal, financial services, and healthcare organizations within Perforce. In the technical arena Steve is proficient or expert level with cloud architecture, multiple RDBMS, NoSQL, multiple programming languages including Python and React, common DevOps & SDLC tools, AI/ML, SaaS architecture, blockchain, data analytics, and several other topics.