Big data refers to very large sets of data where no conventional database management or information management tools can help. In fact, about 2.5 trillion bytes of data are created every day. This information comes from everywhere: messages we send, videos we publish, weather information, GPS signals, transactions, online shopping records, and more.
No precise or universal definition can be applied to Big Data. Being a complex polymorphic object, its definition varies according to the communities that are interested in it as a user or a service provider. A trans-disciplinary approach allows us to understand the behavior of the different figures: the designers and suppliers of tools (the computer scientists), the categories of users (managers, managers of companies, political decision-makers, researchers), the actors (users).
The arrival of Big Data is now presented by many as a new industrial revolution similar to the discovery of steam, electricity, and computer science. Conservative people describe this phenomenon as the third and last stage of the industrial revolution - "information".
Analyzing big data helps analyze current market conditions so that businesses can better understand their customers. Big data tools also help in performing sentiment analysis. Therefore, businesses can get more feedback about who is saying what about them.
Big data tools are a must-have if you want to monitor and improve the online presence of your business. Implementing big data tools may be expensive initially, but it will eventually save (and make) you a lot of money. These tools also reduce the workload of IT staff.