The world has never produced as many data, especially because of digitization. Smartphones, social networks, social media, online services, connected objects, etc. The mass of information that passes every day on the web is absolutely gigantic and exponentially increases over time. This is called the Big Data. Once these data are stored, they can be processed and then analyzed using advanced tools, providing many benefits to organizations that know how to use them.

What is Big Data?

The Big Data, refers to the set of data Very large volume, collected and stored on a digital basis. They can then be analyzed and exploited by organizations, as part of marketing and commercial strategies, for example. The Big Data can not be managed by conventional data processing techniques, but requires very advanced systems and tools.

These mega data are characterized by 3 V:

  • Volume (the amount of data)
  • Variety (different types of data)
  • Velocity (data processing speed)

To these three features identified by the Doug Laney analyst in 2001, have added other V, such as veracity, value and variability.

To summarize, the term Big Data includes large data, but also their storage, analysis, sharing, as well as tools and techniques used for the treatment and analysis of all this mass of information.

Types of Big Data

Structured data

These are data with a fixed structure and format, defined, organized for the purpose of facilitating their treatment and analysis. It can for example be details on a person or employee of a company, presented in a structured way (name, address, sex, age, post, salary, etc.).

Unstructured data

These are unorganized data, so having no format defined or proper structure (photos, videos, audio files, comments, etc.). Their analysis is more difficult and takes much more time than those of structured data.

Semi-structured data

These may contain the two previous data formats (structured and unstructured). These are unorganized data, but can be associated with data that are.

Why is Big Data important?

The Big Data has advantages for a wide range of organizations, ranging from businesses to health professionals, from financial, governmental and educational institutions. It is important not for the amount of data that he represents, but rather and especially for how these data are used. Indeed, if used in the right way, the Big Data is able to analyze the past facts very precisely, to predict events and recommend actions.

As part of a company, for example, it brings an improvement of operations, a modeling of Behavior of customers, an optimization of customer service, a ripening of Business and marketing strategies, An improvement in customer experience, better identification of potential risks and the implementation of effective solutions to counter them.

Finally, the Big Data will generate a lower cost, a better and faster decision-making, the creation of products / services that meet the needs of customers, resulting in an increase in profitability. It is therefore a significant competitive advantage for organizations that know how to use it.

The main tools of the Big Data

The Big Data tools are constantly improving in order to follow the rapid, important and constant evolution of this giant data mass. Among the best known, we will cite Hadoop, Cassandra, Apache Spark, Storm and Rapidminer. These softwares are intended to process and analyze the Big Data, with various features in addition to the chosen tool.