Popularized at the crossroads of the 2000's with the explosion of new technologies, the term "Big Data" refers to the mass of digital data, from all sources, generated by the use of these technologies.
This data can be of a personal, professional or institutional nature, and concerns all types of information circulating on digital networks (text, video, audio, database, GPS coordinates, e-commerce transactions, data from connected objects, etc.).
According to some analysts, Big Data data is defined by the criterion of the three Vs:
their Variety (nature and level of structure),
their Velocity of production, collection and analysis.
Generally Big Data is stored in huge datacenters, most of which are controlled by the largest players in the digital economy. Big Data is an inexhaustible source of information whose exploitation is supported by the democratization of Cloud Computing (remote storage by Internet users) and the performance of supercomputers. The constantly growing Big Data market is worth tens of billions of dollars.
Invented by the giants of the web, Big Data is a solution designed to allow everyone to access giant databases in real time.
The Big Data industry has attracted several of them. The latter quickly positioned themselves in various sectors. In the IT sector, we find the historical suppliers of IT solutions such as Oracle, HP, SAP or IBM. There are also web players such as Google, Facebook, or Twitter. As for the specialists in Data and Big Data solutions, we can mention MapR, Teradata, EMC or Hortonworks.
Here are some areas that benefit from big data:
- Medical research: through the evaluation of massive data, physicians can find better therapy and treatment solutions for their patients.
- Industry: Through the use of machine data from the production chain, for example, companies can increase the efficiency of their production and work in a more sustainable way.
- Economy: it allows companies to get to know their customers better and to offer them offers that are increasingly adapted to their needs.
- Energy: Energy consumption data make it possible in the long term to adapt supply to user needs in order to make energy supply more responsible and sustainable.
- Marketing: big data is used in marketing to better target customers. Among other things, the objective is to improve relations with consumers and increase the conversion rate.
- Fight against crime: the government and security services also use big data, for example in the fight against terrorism or money laundering.
- Banking sector: big data enables a bank to offer services adapted to its customers' profiles or to better anticipate its default or liquidity risks.
To sum up, production will change enormously thanks to Big Data. Companies will use a lot of means to offer the most personalized products and services possible. Many companies are already using Big Data analytics to develop products that anticipate our desires.
If your business is using Big Data, Computer Being can ensure that your IT infrastructure is optimal to cover your needs.