The ability to extract business insights from a “volume and variety” of data was the initial promise of Big Data to the enterprise. However, the modern data platform has been unable to keep up with the rapidly evolving big data landscape, effectively turning this promise into a problem.
From the data and the systems storing it to the tools accessing the data, to the use cases for which the data is needed -- the diversity and complexity of the data platform continue to grow. The challenge enterprises now face is how to provide secure and reasonably swift access to their data for analytics, while permitting users to use their tools of choice.
We at Okera strongly believe that providing secure data access to allow for business innovation and growth is not and cannot be a one-size-fits-all answer. Enterprise data platforms require an architecture that can support a multitude of access control solutions.
In this webinar, we’ll cover:
-How to think about this problem of “volume and variety” in the data lake
-Capabilities needed to provide secure data access
-The four fundamental approaches to enforcing data access and when to use any of them
Can't attend live? Register anyway and you'll receive the recording after the event.
About the Presenter:
This webinar is conducted by Itay Neeman, VP of Engineering at Okera. Before joining Okera, he worked for Splunk, serving as both the engineering and site lead for the Seattle office while also personally contributing and leading several major projects, including a new product for Splunk’s future cloud initiative. Itay has an M.S. from University of Washington and a B.S. from Brown University, both in Computer Science.