Having personal data environments as part of SDLC workflows in AWS

Doors open at 6 p.m. for those wishing to come earlier and network before the talk which starts at 6:30 p.m. We ask that if you do plan on attending, please register, so we have an accurate headcount. Food, soft drinks, and craft brews will be provided; we hope to see you there!
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Speaker: Dhiraj Sehgal, Director Product, and Solutions, Delphix

Enterprises leverage Amazon Web Services (AWS) to quickly provide compute and storage resources to dev/test environments. This allows the business to scale infrastructure, become more agile in real-time, and significantly reduce provisioning cycles from months to days. Organizations take a similar approach now to provide personal production-like datasets to dev/test environments as part of the SDLC workflows running in AWS.

In this session, we will discuss how data in on-premise databases or cloud-native databases can flow from production systems to a dev/test environment without exposing sensitive data. How data can be identified continuously and masked as part of your defined policy to comply with data privacy regulations like GDPR, CCPA, etc and still let the data be provided to developers non-disruptively. Teams can also refresh those environments with the latest production data, anytime and in just minutes. Further, developers can have self-service control to refresh, rewind, and share data, enabling them to accelerate testing iterations and go-live rehearsals.