Cancer is a horrible illness that has been nearly impossible to figure out. Scientists have had a difficult time finding a cure for cancer because no two cases of cancer are the same. Everyone’s bodies are different and therefore, those who develop cancer do not have identical cancer cells. For researchers this means that it is just that much harder to figure out how to stop cancer because finding a link between cases is like finding a needle in a hay stack.
In the past it has been hard for researchers to gather data on cancer to study, but with the recent development of more advanced technology it is much easier to access information from many different cases. Now that there are easily accessible databases full of medical records concerning cancer, researchers have the resources to dig deeper into what could possibly take down cancer. The problem is that no matter how many researchers you have, it takes a lot of time to comb through large amounts of data in search of a tiny clue. This is where Big Data becomes a great tool for scientists and researchers. With the help of data scientists, Big Data analysis goes in and scans through large data sets to find connections and insights that we may not have caught. Not only can Big Data analysis dig more deeply, but it can do this searching much more quickly than we can.
Big Data allows researchers to focus on connecting the dots between significant findings from the data and apply it to a possible cure. Research can become very expensive the longer it goes on, which is why Big Data can be a valuable asset to potentially find a cure faster. Big Data is a great tool for speeding up processes that could otherwise be very tedious. To learn more about how Big Data is doing big things, check out these informational articles!
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