As data-centric security gain mainstream recognition for its ability to protect sensitive data from theft and malicious use, enterprises are faced with choosing a solution from an increasing array of options. However, not all solutions that claim to be data-centric are designed for the demands of a big data analytics environment, one where scalability, performance, and availability are crucial to support the throughput requirement of today’s and tomorrow’s analytical workloads. Here’s a handy checklist to help you identify whether a data security solution meets the unique requirements of big data:
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