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For Enterprise Architecture Professionals

Brief: In-Memory Data Platform Is No Longer An Option — It's A Necessity!

August 22, 2014

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Why Read This Report

Enterprises are on the cusp of a major opportunity to advance their business efficacy and capability. New paradigms, such as the intersection of big data and real-time analytics, offer rewards to the organization agile enough to take advantage of the insights available. What's needed? A data platform that can store, process, and access data faster than traditional approaches and is flexible to adapt to new business needs. Recent advances in in-memory technologies offer the ability to use memory across nodes in a cluster that requires minimal administration and can support high performance and complex workloads such as real-time analytics, gaming, extreme transactions, fraud detection, mobile ads, and analysis of the Internet of Things (IoT). Enterprise architects (EAs) that invest heavily in in-memory data platform will use data to create personal customer experiences and products, respond more quickly to customer needs and competitive threats, grow faster than their competitors, and deliver innovative new products and services.

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Also in Collection: Data Management And Governance

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