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Data

by Configure Serverov (2019-03-04)


Big Data

Overview

Computer processing of information has been used for several decades, but the term “Big Data” - Big Data - was widely distributed only by 2011. Thanks to large data, companies learned to quickly extract commercial value from a variety of sources, including social networks, geolocation data transmitted by phones and other roaming devices, publicly available information from the Internet, sensor readings embedded in cars, buildings and other objects.

What is VVV?

 

Analysts use the 3V / VVV model to determine the essence of big data. This designation is short for the names of the three key Big Data principles: volume, velocity, variety ( volume, speed, and diversity, respectively).

Volume means that Big Data analyzes large amounts of information - from 10 TB конфигуратор.

Speed means that information for Big Data is generated very quickly and is changing (just remembering the speed with which new hashtags spread on Twitter).

Diversity means that data in several formats comes from numerous sources (for example, text and video messages from social networks, readings of geolocation services).

Where is Big Data used

 

Big Data is arrays of diverse information that is often generated, updated, and provided by several sources. Modern companies use this to work more efficiently, create new products and, eventually, become more competitive. Big data accumulates every second - even now, when you read this article, someone collects information about your preferences and actions in the browser. Most companies http://dellexpert.ru/konfigurator-servera.html use Big Data to improve customer service, others to improve operational data and to predict risks.

For example, VISA uses Big Data to reduce the number of fraudulent operations, World of Tanks developers to reduce gamers' outflow, the German Ministry of Labor to analyze applications for unemployment benefits, and large retailers make up large-scale marketing campaigns to sell as many goods as possible. .