Traditional methods for masking and delivering large datasets such as Snowflake or Oracle can take weeks and months for 10s of terabytes. It’s no wonder that 86% of organizations issue compliance exceptions for the sake of speed, according to the latest State of Data Compliance and Security Report.
But exceptions pose a tremendous risk of exposing sensitive data like PII or PHI, and you don’t need to sacrifice compliance for speed. It is possible to mask 10s of terabytes in hours to deliver compliant, production-like data.
Join Perforce Delphix data experts to dive into challenges and solutions for masking large-scale data sources including:
- Why common masking practices don’t scale and often lead to bottlenecks.
- Examples of what outperformers are doing to protect 100TB+ data sets AND accelerate compliant data delivery by 10X.
- Practical techniques, approaches, and solutions to help you balance speed at scale, compliance, and quality.
Presenters
Ross Millenacker
Ross Millenacker leads product efforts for Data Control Tower at Delphix. Before Delphix, Ross held many roles ranging from Product Marketing to Engineering in the Software and Semiconductor industries. He has an MBA from Carnegie Mellon, a BS in Mechanical Engineering from UC Berkeley, and a BA in History from UC Santa Cruz.
Ilker Taskaya
Ilker Taskaya is a Field CTO at Perforce Delphix, specializing in data security solutions for the financial services and healthcare industry for the last ten years. He holds several patents in this field. Before Perforce, he consulted in data warehousing for financial services, insurance, and healthcare clients. Ilker began his career 20 years ago as a database analyst in the financial services sector.
Ann Rosen
Ann Rosen is a Director of Product Marketing at Perforce, working on Perforce Delphix. Ann is passionate about bringing positive change through technology and has been involved in enterprise software and services for a couple of decades. She has specialized in areas such as cloud data management and protection, Java and software development. Prior to Delphix Ann has lead product marketing in organizations of various sizes and maturity, including Informatica, Druva and Sun Microsystems.