Protecting Your Database with Adam Kamor
Adventures in DevOps
00:00
Data Transformation and Privacy Measures in Databases
This chapter explores the challenges of identifying and transforming sensitive data within databases, discussing various techniques like null generation and name randomization. It addresses the complexities of maintaining privacy while analyzing executive compensation data and handling categorical data and outliers. Additionally, it touches on using GANs and neural nets for data transformations and emphasizes the importance of seamless data access for developers.
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Transcript
