The term BIG DATA began to gain popularity since 2011. Today everyone has heard it at least once. Let’s see what it is.
With the development of technology, the amount of data began to increase exponentially. TRADITIONAL TOOLS no longer covers the need for processing and storing information. To process data whose volume exceeds hundreds of terabytes and is constantly increasing, special algorithms have been created. They are called BIG DATA.
Today, information is collected in HUGE VOLUMES from various sources: the Internet, contact centers, mobile devices, etc. Most often, such data do not have a clear structure and order, so a person cannot use them for any activity. To automate the analysis, BIG DATA TECHNOLOGY is used.
A SHORT HISTORY OF BIG DATA
Big data appeared in the 60-70s of the last century along with the first data centers. In 40 years, companies began to understand the extent of content created by users of Internet services (Facebook, YouTube, etc.). At the same time, the first platform was designed to interact with large data sets. Today it is a large stack of technologies for PROCESSING INFORMATION. A little later, NoSQL began to gain popularity: IT IS a set of methods for creating big data management systems.
The amount of information generated began to increase with the advent of LARGE INTERNET SERVICES. Users upload photos, view content, put “likes”, etc. All this information is collected in large volumes for further analysis, after which you can make improvements to the services. For example, social networks use big data to show users relevant ads (that is, one that matches their needs and interests) in a target. This allows social networks to sell businesses the opportunity to conduct accurate advertising campaigns.
KEY FEATURES OF BIG DATA
VOLUME. From the name “big data” it becomes clear that they contain a lot of information. And this is true: companies can receive DOZENS OF TERABYTES of various data daily, some hundreds of petabytes. That is, “big data” would not have been without volume.
SPEED. Big data arrives and is processed from different sources with high speed. In the absence of this property, information can no longer be called “big data”. And they are also generated without stopping.
DIVERSITY. Big data contains information related to different types. This is one of the main differences from simple data – THEY ARE ALWAYS STRUCTURED and can be immediately stored in a database.