How is Big Data accrued?
Data volume has reached immense proportions: it only took 10 minutes in 2014 to collect the same amount of data that humans produced from the beginning of mankind up until 2002. According to some prognoses, this vast sum of data is only going to increase, doubling every two years. The flood of data has mostly been brought on through the increasing digitization of daily life. Big Data is created by stringing together different data sources, like:
Big Data doesn’t solely refer to collected data; the use of this information and its analyses is also part of this definition. The goal here is to find patterns and relationships and to put these into the right contexts. One of the biggest challenges in doing so isn’t just having to work with the enormous volumes of data; data speed and the diversity of such information also play a role. Data continuously flows into an unstructured pool. There, it needs to be gathered, saved, and processed, all in real-time, if possible. In order to properly interpret this data and put it into context, a sophisticated data infrastructure is needed.