Amgen has invested in building modern, cloud-native enterprise data and analytics platforms over the past few years with a focus on tech rationalization, data democratization, overall user experience, increase reusability, and cost-effectiveness. One of these platforms is our Enterprise Data Fabric which focuses on pulling in data across functions and providing capabilities to integrate and connect the data and govern access. For a while, we have been trying to set up robust data governance capabilities which are simple, yet easy to manage through Databricks. There were a few tools in the market that solved a few immediate needs, but none solved the problem holistically. For use cases like maintaining governance on highly restricted data domains like Finance and HR, a long-term solution native to Databricks and addressing the below limitations was deemed important:
The way these tools were set up, allowed the overriding of a few security policies
– Tools were not UpToDate with the latest DBR runtime
– Complexity of implementing fine-grained security
– Policy management – AWS IAM + In tool policies
To address these challenges, and for large-scale enterprise adoption of our governance capability, we started working on UC integration with our governance processes. With an aim to realize the following tech benefits:
– Independent of Databricks runtime
– Easy fine-grained access control
– Eliminated management of IAM roles
– Dynamic access control using UC and dynamic views
Today, using UC, we have to implement fine-grained access control & governance for the restricted data of Amgen. We are in the process of devising a realistic migration & change management strategy across the enterprise.
Talk by: Lakhan Prajapati and Jaison Dominic
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