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Join Huw Price, Chairman and Co-Founder of Curiosity Software, and Harry Burn, Head of Solution Engineering, to discover how to shrink your development database footprint while maintaining accuracy and security. This session introduces Active Data Cloning and explains why most data masking approaches fail, along with practical techniques to safeguard sensitive data in non-production environments.
Register today to learn a smarter way to build development databases that are smaller, safer and easier to manage.
Development teams often rely on oversized copies of production data or masking approaches that introduce risk and complexity. The result is slow provisioning, unnecessary storage costs, and limited confidence in non production environments.
In this session, we explore a smarter way to build development databases that are smaller, accurate, and secure while still supporting realistic testing.
Deliver lean development environments that minimise storage costs and provisioning time without breaking data relationships.
Maintain production fidelity while removing unnecessary volume, ensuring test environments remain realistic and reliable.
Apply advanced protection techniques that safeguard sensitive data while preserving structural integrity.
Reduce risk exposure and strengthen control over how sensitive data is handled in non production environments.
Development environments are under growing pressure to be faster, leaner, and fully compliant. Yet many organisations still depend on oversized production copies or masking approaches that introduce complexity and hidden risk.
This masterclass explores a more controlled way to create development databases that are smaller by design, accurate in structure, and secure in practice, covering:
Learn how to shrink development databases without damaging relational integrity. Discover techniques that remove unnecessary volume while preserving the structures that matter for realistic testing.
Understand how Active Data Cloning differs from traditional full copies and static masking. See how it enables smaller, purpose built environments that remain production faithful.
Explore practical methods for safeguarding sensitive information in non production systems without breaking usability, logic, or referential consistency.
Deliver development databases with greater control and oversight. Reduce compliance exposure while improving speed and operational agility.
This webinar is designed for technical teams responsible for building, testing, and maintaining reliable AI and data-driven systems. It will be especially valuable for test automation engineers, AI and LLM practitioners, data engineers, and QA leads who need confidence that complex payloads and AI outputs behave as expected.
Described as “The Godfather of test data”, Huw is a serial test data inventor, and has worked with the world’s largest organisations to transform their test data management. With Curiosity Software, Huw leads on crafting innovative solutions to drive test data and quality success for our enterprise customers.
Harry is a test data management and visual modelling specialist. Since 2020, Harry has worked with some of the largest global organisations across finance, banking, healthcare and manufacturing, helping them to solve complex data generation, compliance and quality challenges.
Access expert guidance and practical insight on creating lean, accurate, and secure development databases that support speed, governance, and confidence
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