What is Big data – the most important information about big data

What is Big data

What is Big data? 
Only a lazy person does not talk about Big data but not everyone knows what it is and how it works. Let’s start with the simplest – terminology. Big data is a variety of tools, approaches, and methods for processing both structured and unstructured data in order to use them for specific tasks and purposes.
Unstructured data is information that does not have a predetermined structure or is not organized in a certain order.

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The term Big data was introduced by Nature editor Clifford Lynch back in 2008 in a special issue dedicated to the explosive growth of world information volumes. Although, of course, the big data itself existed before. According to experts, most data streams above 100 GB per day refer to the Big data category.
Today, this simple term means only two words – the storage and processing of data.

Big data in simple words
In the modern world, Big data is a socio-economic phenomenon, which is connected with the fact that new technological opportunities have appeared for analyzing a huge amount of data.
For simplicity of understanding, imagine a supermarket in which all the goods are not in the order you are familiar with. Bread next to the fruit, tomato paste near the frozen pizza, and a firing liquid is in front of the rack with toilet paper. Big data puts everything in its place and helps you find soy milk, find out the cost and expiration date, and also – who, except you, buys such milk and why it is better than cow’s milk.

Big data technology 
Huge amounts of data are processed so that a person can get specific and necessary results for their further effective use.
In fact, Big data is a solution to problems and an alternative to traditional data management systems.
Techniques and methods of analysis applicable to Big data by McKinsey:

  • Data Mining
  • Crowdsourcing
  • Mixing and data integration
  • Machine learning
  • Artificial neural networks
  • Pattern recognition
  • Forecasting analytics
  • Simulation modeling
  • Spatial analysis
  • Statistical analysis
  • Visualization of analytical data

The horizontal scalability that provides data processing is the basic principle of processing large data. Data is distributed to compute nodes, and processing occurs without degradation of performance. McKinsey also included relational management systems and Business Intelligence in the context of applicability.

For big data, there are traditional defining characteristics developed by Meta Group in 2001, which are called Three V:

  • Volume – the amount of physical volume.
  • Velocity – the speed of growth and the need for rapid processing of data to obtain results.
  • Variety – the ability to simultaneously process different types of data.

Big data: application and capabilities 
The volumes of heterogeneous and fast incoming digital information cannot be processed with traditional instruments. The very analysis of the data allows you to see certain and inconspicuous patterns that a person cannot see. This allows us to optimize all areas of our life – from public administration to production.

For example, some companies several years ago protected their clients from fraud and taking care of the client’s money is taking care of their own money.

Big data in the world 
According to the IBS company, by 2003 the world has accumulated 5 exabytes of data (1 EB is equal to 1 billion gigabytes). By 2008, this volume rose to 0.18 zetta bytes (1 GB = 1,024 exabytes), by 2011 – to 1.76 zetta bytes, and by 2013 – to 4.4 zettabytes. In May 2015, the global amount of data exceeded 6.5 zettabytes.

By 2020, according to forecasts, mankind will form 40–44 zettabytes of information. And by 2025, it will grow by 10 times, according to the report of The Data Age 2025, which was prepared by analysts of IDC. The report notes that most of the data will be generated by the enterprises themselves, and not by ordinary consumers.

Analysts believe that the data will become a vital asset, and security is a critically important foundation in life. Also, the authors of the work are sure that the technology will change the economic landscape, and the average user will communicate with connected devices about 4,800 times a day.


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