Big Data has become one of the key buzzwords for businesses everywhere over the last few years. With data of all kinds being produced in record amounts every year, collating and analyzing this information will give businesses more insights than ever before into their customers and their industries, and perhaps even let them predict what might happen in the future.
Here is just one of many incredible big data stats: Every minute we send 204 million emails, share 2.5 million pieces of content on Facebook, send 277,000 Tweets, and post 216,000 photos on Instagram.
Suffice it to say, there is a huge amount of data out there. But making sense of millions (perhaps billions) of data points can be time consuming and difficult without powerful technology, particularly when this data is unstructured. That’s often the case with online textual data in the form of news articles, social media posts, forums comments, and much, much more.
In fact, such is the complexity of this process that there has been somewhat of a backlash against big data. There are now ideas about big data’s importance being overstated because it is too “big” and unruly. [Read More]