How to Secure Data Access at Scale for the Modern Analytics Platform
The modern data analytics platform has been unable to keep up with the rapidly evolving Big Data landscape, effectively turning the original promise of Big Data - to extract business insights from a "volume and variety" of data - into a problem. Diversity in the platform now includes everything from the data and the systems storing it, to the tools accessing the data, to the use cases for which the data is needed.
Enterprises now face the challenge of figuring out how to provide secure and reasonably swift access to their data for analytics and machine learning, while still permitting users to use their tools of choice.
Watch this on-demand webinar to learn how Okera thinks about this problem and how to solve it. That includes:
- How the promise of “volume and variety” in the data lake turned into a problem
- The capabilities needed to provide secure data access
- The four fundamental approaches to enforcing data access and when to use any of them
