The Short Guide to Big Data
Big data is defined as "extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions."
You can think of Big Data as the result of our digital age. It is the information produced by our different digital devices. This doesn't end with just our laptops, phones and tablets. Big Data is channeled from everywhere. It is the entire realm of information generated by our connected devices, as well as other sources of information, such as sensors used to gather climate change for example, or cell phone GPS signals, digital pictures and videos, posts on social media, etc.
Distinctive features of Big Data:
- Big Data is big. The volume of generated data is massive.
- Big Data is various. You have waves of information streaming from different sources, each with their own distinctive characteristic.
- Big Data is fast. These waves of information are moving with unprecedented speed and they require strong technological solutions to be dealt with.
In digital advertising, the way to cope with the Big Data and make the most of it is done through the help of programmatic advertising technologies. The last few years saw a boom in innovation in the sector and now advertisers can leverage on different types of products to help them navigate through the information waves.
Extracts from our Blog article: "What is Big Data?"
Example of industrial applications of Big Data in Telcos: