Hitachi and the University of Tokyo develop dynamic pruning technology that speeds up Big Data retrieval time by up to 135 times――Supporting traceability in the manufacturing industry and data utilization in the medical care and finance fields will help solve issues confronting society――
Hitachi, Ltd., and #UTokyo_IIS, toward speeding up Big Data analysis, have developed dynamic pruning technology that significantly improves the retrieval time of data having complex interconnections . The newly developed technology, based on information obtained through recursive query processing, accurately identifies in real-time the scope of the next data to be read and skips the reading of unnecessary data, significantly improving retrieval speed. In the application of verification testing to product shipment decisions in the manufacturing industry, data retrieval speed was confirmed to be up to 135 times faster*4 than with the conventional methodology. This speed gain is expected to contribute toward improving the quality of traceability*5 by enabling faster analysis of graph-structured data, such as in tracing processes or parts from product design to manufacturing, distribution, and maintenance.