The human bottleneck in big data architecture

In a survey of IT and data professionals on the progress of their big data initiatives, conducted by Qubole and Dimensional Research, only 8 percent of respondents considered their big data initiatives to be fully mature and 78 percent of respondents still support data requests on a project-by-project basis.

Those results highlight a weakness at the heart of most big data initiatives. Despite innovation around big data technologies, people and manual effort are still very much necessary for big data initiatives to run and people don’t scale. This human bottleneck limits an organization’s ability to scale and operationalize its use of data.

Author: Joydeep Sen Sarma


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