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Big Data technologies were invented to store and rapidly process the vast amount of data available today into useful “Smart” Information. What is common across these technologies is that their initial aims are focused on data processing capabilities rather than security and compliance. One particular concern is the lack of control over identity and access especially in the area of administration. This was fine when the application of the tools was confined to experimental or small scale usage. Now that they are being widely deployed for commercial purposes this is no longer satisfactory.
Big Data technologies need to be managed and secured in the same way as the other components in the IT infrastructure.
Big Data technologies were invented to store and rapidly process the vast amount of data available today into useful “Smart” Information. What is common across these technologies is that their initial aims are focused on data processing capabilities rather than security and compliance. One particular concern is the lack of control over identity and access especially in the area of administration. This was fine when the application of the tools was confined to experimental or small scale usage. Now that they are being widely deployed for commercial purposes this is no longer satisfactory.
Big Data technologies need to be managed and secured in the same way as the other components in the IT infrastructure.