It is fascinating to realize that a lot of new data comes from old data. Sometimes new data will replace old data because it is more current. However, when old data is categorized and processed, the trends that emerge can be recorded as more data which could possibly be analyzed further.
This passage (found on page 9) in a few words captures the extent to which data has increased over the past several decades. Though, this should not be surprising. Throughout the excerpt of Big Data, the author keeps articulating different situations in which people have used large amounts of raw data to hypothesize trends. These hypotheses can be used to create larger trends, and the cycle can continue. The analysis of the raw data is what catapulted the surge of data the modern generation has now.
One example of this in Big Data was the navigator Matthew Fontaine Maury. He was a navigator that decided to find the best trade routes by going off of the popular approach. He asked everyone he encountered for their knowledge of the seas and the routes they have. He asked old fisherman their secrets for learning the seas so that he could find routes that didn’t fight nature, but rather routes that nature helped along. He collected his own data in order to create his hypotheses because the data he needed wasn’t readily at his fingertips, and in the end created trade routes far superior to the ones previous.
Modern day society has what Maury created for himself, a database just waiting to be examined. People have been able to predict when the price of airplane tickets will be cheapest or track packages all because they used the data in front of them. Big Data fosters the idea that society could have a lot of answers right in front of us that we just haven’t pieced together yet.