With its on-demand, auto-scaling compute, Amazon EMR enables a multitude of big data use cases from batch processing to data science modeling, resulting in immense cost savings and increased performance.
But data platform teams are still stuck at the last mile of data delivery - trying to open up access to data whilst remaining compliant with emerging data privacy legislation such as GDPR and CCPA.
IAM roles were never designed to provide fine-grained access to data, and quickly become painful to work with, ultimately resulting in the platform team becoming a bottleneck for analytics.
In this webinar, we'll discuss:
Download it now for an in-depth demo of Okera’s dynamic enforcement of fine-grained access control that scales transparently, removing the need to manage IAM roles on each cluster.
Lars George has been involved with Hadoop, HBase and the Big Data ecosystem since 2007. He has written multiple O'Reilly books, including "HBase - The Definitive Guide". Before Okera, Lars was CTO of a startup, co-founded a Big Data consulting firm, and worked at Cloudera for five years, where, as the EMEA Chief Architect, he helped many F500 companies around the world define their Big Data architectures.