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Managed Memory Computing
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Managed Memory Computing : ウィキペディア英語版
Managed Memory Computing

== This article pertains to a new technology used in Business Intelligence. Managed Memory Computing uses aggregated data for in-memory analytics ==

Aggregated data cubes are the most effective form of storage of aggregated or summarized data for quick analysis. This technology is driven by Online Analytical Processing technology. Utilizing these data cubes involves intense disk I/O operations. This at times lowers the speed for users of data.
Conventional, in-memory processing does not rely on stored and summarized or aggregated data but brings all the relevant data to the memory. This technology then utilizes intense processing and large amounts of memory to perform all calculations and aggregations while in memory.
Managed Memory Computing blends the best of both methods, allowing users to define data cubes with per-structured and aggregated data, providing a logical business layer to users, and offering in-memory computation. These features make the response time for user interactions far superior and enable the most balanced approach between disk I/O and in-memory processing.
The hybrid approach of Managed Memory Computing provides analysis, dashboards, graphical interaction, ad hoc querying, presentation, and discussion driven analytic at blazing speeds, making the Business Intelligence Tool ready for everything from an interactive session in the boardroom to a production planning meeting on the factory floor.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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