The dictionary definition of Big Data is as follows: extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. This data essentially consists of everything used to create behavior profiles. The collection of this data is determined by three things: The volume of the data coming in, the velocity of the data coming in, and the variety of data coming in. In terms of volume, cloud storage has proved extremely beneficial in managing the amount of data considering the amount of data collected has become too great for storing on hard drives. Data is also collected at a much more rapid pace due to the exponential growth in users on the internet in the last twenty years. As of January 2021, there are 4.6 billion people who use the internet actively, and of the 4.6 billion, 4.3 billion use the internet on mobile devices. The variety of data collected is wide. The variety varies from basic numeric data to text documents, emails, videos, photos, even financial transactions. Data collection has huge negative implications on the state of our society today, but from a business perspective, it can prove to be useful. The issue is not necessarily about the data itself, but more so how it is used and how it can be used. The data allows companies to essentially learn how to cater products to us. Some can argue this is useful because we get targeted for products that would prove useful, but we otherwise would not have considered. Some might also argue this is manipulative, because had a company not targeted you with an ad for a product, you otherwise may not have ever bought that product. Depending on your position in life, you might argue for data collection, or you might argue against it. What is needed, however, are regulations and laws concerning the collection of user data and its usage. Data collection has the potential to overthrow governments, even if it seems harmless now.