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Discussion to Focus on Effective Enterprise-Class Security and Compliance for Next-Generation Data Repositories
FREMONT, CA — August 3, 2016 – /BackupReview.info/ – Dataguise, a technology leader in secure business execution, will present a live webinar on August 4th at 9:30 am India Standard Time titled, Best Practices for Protecting Sensitive Data Across Big Data Platforms, which will focus on secure and compliant protection of big data. Co-hosted by MapR Technologies, the webinar will cover several areas of sensitive data governance, including the importance of automatic detection and monitoring of sensitive data in big data deployments, as well as data-centric security and compliance strategies for data masking and encryption.
Securing sensitive data remains a challenge for many organizations, and increasingly so with the widespread adoption of new data architectures powered by Apache Hadoop. The explosion of big data and greater use of data analytics are prompting IT security teams to rethink how sensitive information is governed in big data environments, where it can exist as structured, semi-structured, and unstructured data. With sensitive data governance a critical consideration in many big data deployments, solutions that reliably detect, protect, monitor, and audit such installations are key requirements.
This webinar session will cover:
“Information can be an organization’s most important asset, and protecting it mitigates risk and enables compliant operations,” said Venkat Subramanian, CTO, Dataguise. “In this webinar we will review effective strategies that help IT professionals empower business teams without the risk of exposing sensitive data. We invite professionals focused on data infrastructure as well as experts in security and compliance to attend the webinar for innovative techniques, processes, and strategies for enabling secure business execution.”
Register for this free webinar at: http://goo.gl/8bFs9C
Tweet This: @Dataguise and @MapR to Present Webinar on Protecting Sensitive Data Throughout Big Data Infrastructure –http://bit.ly/1PzF3FJ #bigdata
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