As Big Data initiatives move into production, Hadoop security has shifted to the forefront of priorities. How can you keep data secure as it is being mined for predictive insights? As you know, most traditional analytics vendors extract data from Hadoop to build and score analytic models. Moving big data out of Hadoop increases security risks, reintroduces bottlenecks, and increases complexity.
Many leading Hadoop vendors promote a 4-layer security model including: authentication, authorization for data access, accountability measures including auditing and data lineage and encryption for better data protection.
Click to download this whitepaper and learn how the RapidMiner Predictive Analytics platform supports this 4-layer security configuration, providing hassle-free connectivity for IT and end users alike so they can securely perform analytics.
When you're ready to learn more about how to deploy powerful and secure predictive analytics inside Hadoop or see a demo, please contact us.