Big Data Processing Is Relative to Paradigm of Today
September 7, 2016
The size and volume that characterizes an information set as big data — and the tools used to process — is relative to the current era. A story from NPR reminds us of this as they ask, Can Web Search Predict Cancer? Promise And Worry Of Big Data And Health. In 1600’s England, a statistician essentially founded demography by compiling details of death records into tables. Today, trends from big data are drawn through a combination of assistance from computer technology and people’s analytical skills. Microsoft scientists conducted a study showing that Bing search queries may hold clues to a future diagnosis of pancreatic cancer.
The Microsoft scientists themselves acknowledge this [lack of comprehensive knowledge and predictive abilities] in the study. “Clinical trials are necessary to understand whether our learned model has practical utility, including in combination with other screening methods,” they write. Therein lies the crux of this big data future: It’s a logical progression for the modern hyper-connected world, but one that will continue to require the solid grounding of a traditional health professional, to steer data toward usefulness, to avoid unwarranted anxiety or even unnecessary testing, and to zero in on actual causes, not just correlations within particular health trends.”
As the producers of data points in many social-related data sets, and as the original analyzers of big data, it makes sense that people remain a key part of big data analytics. While this may be especially pertinent in matters related to health, it may be more intuitively understood in this sector in contrast to others. Whether health or another sector, can the human variable ever be taken out of the data equation? Perhaps such a world will give rise to whatever is beyond the current buzz around the phrase big data.
Megan Feil, September 7, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
There is a Louisville, Kentucky Hidden Web/Dark Web meet up on September 27, 2016.
Information is at this link: https://www.meetup.com/Louisville-Hidden-Dark-Web-Meetup/events/233599645/