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Accelerating the Analytic Timeline with Real-Time Operational Analytics

One approach for real-time operational analytics is to leverage hybrid operational and analytic databases by combining operational and analytical workloads.

Enterprises in all industries are increasing their investment in data processing, analytics and machine learning software with a desire to become more data-driven. Data—and the rapid processing of it—is a critical driver in enabling enterprises to grasp the opportunities presented by digital transformation efforts and is a means to deliver competitive advantage.

One approach for real-time operational analytics is to leverage hybrid operational and analytic databases by combining operational and analytical workloads.


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