When we speak of Big Data we refer to data sets or combinations of data sets whose size, complexity and growth speed make it difficult to capture, manage, process or analyze them using conventional technologies and tools, such as relational databases and conventional statistics or display packages, within the time needed to make them useful.<\/p>\n\n\n\n
The objective of this phenomenon is to convert data into information to facilitate decision-making, even in real time. Companies use this to better understand the profile of their target and discover their needs. And does this affect user trust? the conclusions are quite unanimous. Most citizens distrust Big Data. There are people, those under 29 years of age and with more training are those who show a more positive attitude towards this.<\/p>\n\n\n\n
Although the size used to determine whether a given data set is considered Big Data is not firmly defined and continues to change over time, most analysts and practitioners today refer to data sets ranging from 30-50 Terabytes to various Petabytes.<\/p>\n\n\n\n
\u25b8Generated by the company<\/em><\/strong><\/p>\n\n\n\n It is the information that a company is capable of generating and controlling by itself. An example would be loyalty cards that offer exclusive offers and services to customers, and to companies, patterns of consumer habits in order to anticipate their needs. Or credit cards that make consumption patterns known to financial institutions and thus offer specific services to their holders.<\/p>\n\n\n\n \u25b8Internet<\/em><\/strong><\/p>\n\n\n\n Through browser cookies, companies can find out the behavior of their visitors to be able to show ads according to their tastes, peak hours, and ways to access a particular page.<\/p>\n\n\n\n \u25b8Social networks<\/em><\/strong><\/p>\n\n\n\n A large amount of information is shared on the different social networks: what topics are most relevant to a user, their favorite brands, how they interact, etc. The combination of all this data can provide a very detailed vision of how to carry out certain marketing strategies. When we speak of Big Data we refer to data sets or combinations of data sets whose size, complexity and growth speed make it difficult to capture, manage, process or analyze them using conventional technologies and tools, such as relational databases and conventional statistics or display packages, within the time needed to make them useful. […]<\/p>\n","protected":false},"author":1,"featured_media":1808,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[294,39],"class_list":["post-1807","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tutorial","tag-bigdata","tag-guide"],"yoast_head":"\n
See also:
The Biggest Leaks of Data Known Today So Far<\/a>
Datacenter, what it is and his functions<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"