Session: Achieving near real-time compliance at scale: How Uber manages sensitive data across an exabyte of global systems
Ajit Panda, Head of Data Security & Governance @ Uber
Uber has an exabyte of data across various systems like data lake, datastores backing up critical apps, and unstructured data lying around various drives. At the same time, Uber operates across the globe needing to ensure they comply with regulations as mandated by the countries/states it operates in.
In the last few years, Uber has come a long way from being reactive and spending a huge amount of time and resources to rewrite and risk reliability issues to being compliant near real-time. This is a huge turnaround on how compliance is being enforced in the industry.
In this talk, Ajit will focus on how Uber classifies data to identify various types of sensitive information, tools they have built over time to enforce compliance and fine-grained monitoring.
