Fujitsu tech puts big data to use in minutes

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Fujitsu Laboratories said Monday it has developed new parallel distributed data processing technology that enables pools of big data as well as continuous inflows of new data to be efficiently processed and put to use within minutes.

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The amount of large-volume, diverse data, such as sensor data and human location data, continues to grow, and various data processing technologies are being developed to enable these pools and streams of big data to be quickly analyzed and put to use. When the priority is on high-speed performance, methods that process the data in memory are used, but when dealing with very large volumes of data, disk-based methodologies are typically used as volumes are too large to process in memory. When using disk-based techniques, however, if the objective is to immediately reflect the newly received data in the analytical results, many disk accesses are necessary. This results in the problem that analytical processing cannot keep pace with the volume of data flowing in.

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To address this problem, Fujitsu Laboratories has developed technology that slashes the number of disk accesses by approximately 90% compared to previous levels by dynamically reallocating data on disks to match trends in data accesses. Whereas producing analytic results of new data could take several hours in the past, with this new technique results are available in minutes. This development excels at both volume and velocity when processing big data, an objective that has been difficult to achieve until now.

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This technology will be one of the technologies underpinning human-centric computing, which will provide relevant services for every location.

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