What is Big Data technology?
There are six main characteristics that begin with the Latin letter “V”:
Volume. The volume is not less than 150 GB in 24 hours.
Velocity. The structure and volume of big data is constantly subject to change. Therefore, processing such huge arrays is possible only on machines with high computing power. For example, the FlightRadar24 service, which combines information about all movements of aircraft in the air in real time.
Variety. Big Data can consist of data of different formats: graphic, audio and video files, texts, etc.
Veracity. All information is collected advertising data package only from verified sources, processing is done using accurate and objective methods. Only then do we get relevant results. Large corporations take them into account when implementing strategies.
Variability. Big Data is updated every second. The data flow is extremely unstable and depends on the exchange rate, the number of sources at any given time, and user actions. Therefore, all these variable factors must be taken into account during analysis. For example, summary information on air traffic will be relevant when using timely amendments to flight delays, weather conditions in specific locations, schedule changes, etc.
Value. The array itself does not carry any special value. Information is only useful when, as a result of processing and analysis, specific conclusions can be drawn that allow making informed decisions. For example, to develop an optimal logistics system for urban transport.
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Alexander Kuleshov
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According to the degree of processing, large databases can be:
Structured . Data is grouped by some sample. For example, Big Data technology used in medicine allows sorting information by temperature, blood pressure and other important parameters of patients undergoing treatment.
Partially structured . A certain portion of the array is still in a chaotic state and requires careful processing. Example: a database of emergencies in a region for a certain period of time.
Unstructured . Often cited as an example is a collection of files (photos, music, clips, etc.) posted by users of a social network.
Big Data Parameters
Source: shutterstock.com
There is another fundamental difference between Big Data and conventional databases. It is that, thanks to the distributed structure, the information array can be managed using multiple microservices. This works as a complex filter. An array of disparate information is fed to the input, and as a result, a concentrated fragment of necessary and useful information crystallizes.
If there is only one source in this process, then the processing will be fast and without difficulties. But with huge flows of information from different places, conventional tools may not be able to cope with such a volume. Therefore, specialized services have been designed that significantly speed up work with a large database.
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Alexander Kuleshov
Alexander Kuleshov
General Director of Sales Generator LLC
Read more posts on my personal blog:
Over the past 7 years, we have conducted over 23,000 comprehensive website audits and I have learned that all of us as leaders need clear and working algorithms for our marketing and sales.
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