July 2013, Vol. 240 No. 7

Features

Key Considerations For Managing Unstructured Data

Oil, gas and energy companies generate huge volumes of data through sensitive equipment – volumes that roughly double every two years. Increasing amounts of data and an increased focus on data protection and reliability have resulted in a surge of interest regarding unstructured data management technologies. In oil and gas companies, unstructured data loads are increasingly generated not by a human workforce, but by machines – from scientific instrumentation, such as seismic exploration equipment, industrial sensors and meters, calibration and monitoring devices, all producing exceptionally precise measurements – all sending an influx of unstructured data each

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