Secure your Big Data Analytics for GDPR Compliance

Logo
Presented by

Tom Wall, Sanjay Baronia and Carole Patrice Murphy, Micro Focus

About this talk

Can you protect personal data in analytical databases, while increasing data access, and enabling compliance with GDPR and other data privacy regulations? In this session, you will learn how Voltage SecureData for Vertica, a data-centric security offering that puts the control on the analytics data using format preserving encryption, enables trusted big data to move between untrusted environments. As a result, this combined solution allows data protection to persist as the data moves from storage to in-flight to in-use within applications without requiring changes to downstream applications.

Related topics:

More from this channel

Upcoming talks (2)
On-demand talks (158)
Subscribers (36523)
The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.