Over the last few years, Databricks has gained a lot of experience deploying data analytics at scale in the enterprise. In many cases, our customers have thousands of people using our product across different business units for a variety of different use cases —all of which involve accessing various data classifications from private and sensitive data to public data. This has brought forth to us various challenges that come with deploying, operating and securing a data analytics platform at scale. In this blog post, I want to talk about some of those learnings.
Date : March 17, 2020 at 05:48AM
Tag(s) : #DATA ENG
