What is Big Data and what is it used for?

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suhasini523
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What is Big Data and what is it used for?

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Big Data is born from the need to process high volumes of data that the software used to do this job could not handle at the time. The term itself refers to the translation of structured and unstructured data.

Structured data is information that can be easily processed and defined in a spreadsheet or database. It can include names, times, numbers, actions and ratings made by users who visit the eCommerce site.

In contrast, unstructured data is characterized by not having a specific format, and tends to be information stored in audio or video multimedia files, or longer PDF documents.

Fundamental aspects of Big Data
Data interpretation is based mainly on 4 fundamental aspects, which croatia whatsapp resource are known in the world of Digital Marketing as the 4 V 's :

Volume : This refers to the processing of data in quantity and is the main characteristic that defines it. With the level of interaction and everything that involves the behavior of more than 3.2 billion Internet users, it is necessary to apply big data in any aspect of online commerce. In addition to translating data in bulk in seconds.
Variety : Big Data is capable of translating data from different sources, you can know the origins of both structured and unstructured data. The second is another of the characteristics that have made data management an indispensable process for online businesses. Unstructured data can be: videos, emails, photos, sound files, etc.
Speed : This refers to the time it takes to translate high volumes of data . Imagine the billions of data that must be processed every second, now compare how quickly you can have that data translated into understandable information. There is no way to match the speed with which Big Data processes as much information as possible.
Veracity: This is about the fact that data is not altered when processed. Is the information presented exactly as the original data says? Those responsible for Big Data, and surely you too, will wonder if the translation is explicitly related to the original structured and unstructured data.
Another notable feature of high volume data processing is that its processing is unalterable. So, in relation to the fourth point, there should be no doubt.
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