Businesses are seeking to become sleek, real-time data-driven enterprises. Yet, data has to navigate through a congested infrastructure which may have been first designed decades ago. Any advantages enterprises may expect from high-volume, high-velocity data and analytics are bogged down to a crawl by network, storage, and database bottlenecks. On the front end, while there is excitement about the effects of big data—market intelligence, customer engagement, and predictive capabilities—it requires new ways of looking at the back end, where the data resides. The tried-and-true, but tired, approaches to beefing up database performance—manually tuning databases, adding more disk, and upgrading processors—just won’t cut it in the era of real-time big data analytics.
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