{"id":3788,"date":"2024-01-15T13:25:26","date_gmt":"2024-01-15T12:25:26","guid":{"rendered":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/methodological-framework-to-support-the-use-of-big-data-in-statistics\/"},"modified":"2024-01-16T11:40:03","modified_gmt":"2024-01-16T10:40:03","slug":"methodological-framework-to-support-the-use-of-big-data-in-statistics","status":"publish","type":"post","link":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/methodological-framework-to-support-the-use-of-big-data-in-statistics\/?lang=en","title":{"rendered":"Methodological framework to support the use of Big Data in statistics"},"content":{"rendered":"<p>Peter \u010euri\u0161, Go SMART s. r. o, Slovak Republic<\/p>\n<p><!--more--><\/p>\n<p>Type of article: informative article<br \/>\nPages: 58 &#8211; 64<\/p>\n<h5>Abstract<\/h5>\n<p>The text deals with the definition of appropriate procedures for the adoption of Big Data in the process of creating statistical products. By implementing a project Socio-economic aspects of Big Data, the Statistical Office of Slovak Republic demonstrates that there are models and procedures for using Big Data and that these can be standardized into methodological guidelines for this field. The aim of the presentation of the methodology framework for the standardization of the process of collecting, processing and evaluating Big Data.<\/p>\n<div>\n<p><span style=\"line-height: 2.1em; padding-left: 0px; color: #1e4e9d;\">Issue for download<\/span><br \/>\n<a class=\"download-pdf\" onclick=\"window.open('https:\/\/ssad.statistics.sk\/SSaD\/?dl_id=388','new','');return false\"  href=\"https:\/\/ssad.statistics.sk\/SSaD\/?dl_id=388\"><i class=\"far fa-file-pdf\"><\/i> PDF<\/a><span class='download-text'> (2,2 MB, 316 downloads)<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Peter \u010euri\u0161, Go SMART s. r. o, Slovak Republic<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[1725],"tags":[1767,1668,1682,1769,1771,1766,1768,1770],"class_list":["post-3788","post","type-post","status-publish","format-standard","hentry","category-1-2024-informative-articles-opinions-reviews-interviews-information","tag-analytical-model-lifecycle","tag-author-peter-duris","tag-big-data-en","tag-big-data-mining","tag-big-data-usage-scenarios","tag-experimental-statistics","tag-gsbpm-en","tag-processing-of-big-data"],"_links":{"self":[{"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/posts\/3788","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/comments?post=3788"}],"version-history":[{"count":2,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/posts\/3788\/revisions"}],"predecessor-version":[{"id":3861,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/posts\/3788\/revisions\/3861"}],"wp:attachment":[{"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/media?parent=3788"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/categories?post=3788"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/tags?post=3788"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}