Avoiding the Barriers of In-Memory Business Intelligence: Making Data Discovery Scalable

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Document Format: PDF

In-memory data visualization tools have soared in popularity by providing business users with highly visual, self-service data discovery. But there’s one very big catch: when the amount of data to be analyzed exceeds available server memory, system performance either slows down to a crawl or simply crashes.

The good news is new distributed in-memory data discovery tools have solved this critical issue, by providing enterprise scalability without the heavy hardware costs and maintenance that traditional in-memory systems demand.

Download now and learn more.

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