By 2020, humanity has formed about 40 zettabytes of information (for the record, 1 zettabyte is 1021 (sextillion) bytes. This is a huge amount of information and it will grow exponentially in the coming years.
Scientists believe that data will become a vital asset, and security will be a critical foundation in life. Also, the technology will change the economic landscape in the future, and the average user will communicate with electronic devices about 4500 times a day. Sounds completely insane, right?
Big data is a variety of tools, approaches, and methods of processing both structured and unstructured data, so it’s important to use them in the right way in order to complete the specific tasks and reach goals.
3Vs
There are three defining properties or dimensions of big data called 3Vs. Volume – the amount of data, variety – the number of types of data and velocity – the speed of data processing. According to 3Vs, the challenges of big data management appear because of the expansion of all three properties, rather than just one – volume.
Tip on how to work with big data
Dealing with Big Data it’s vital to understand that it is not a specific amount of data or even the data itself, but rather methods for processing them that allow distributed processing of information. These methods can be applied both to huge data arrays (such as the contents of all pages on the Internet) and to small ones (such as the contents of this article).
The basic principles of working with such data are horizontal scalability, fault tolerance, and data locality. In order to follow these principles, you need to come up with some methods, methods, and paradigms for developing data development tools.
