{"id":206,"date":"2022-12-22T05:57:31","date_gmt":"2022-12-22T05:57:31","guid":{"rendered":"https:\/\/northsoft.co\/blog\/?p=206"},"modified":"2022-12-22T05:58:11","modified_gmt":"2022-12-22T05:58:11","slug":"big-databuyuk-veri-gunumuz-dunyasini-nasil-etkilemektedir","status":"publish","type":"post","link":"https:\/\/northsoft.co\/blog\/genel\/big-databuyuk-veri-gunumuz-dunyasini-nasil-etkilemektedir\/","title":{"rendered":"Big Data(B\u00fcy\u00fck Veri) G\u00fcn\u00fcm\u00fcz D\u00fcnyas\u0131n\u0131 Nas\u0131l Etkilemektedir?"},"content":{"rendered":"<p><strong>Veri<\/strong>, g\u00fcn\u00fcm\u00fcz\u00fcn en de\u011ferli varl\u0131\u011f\u0131d\u0131r. Farkl\u0131 kaynaklardan elde edilen veriler (bilgiler), analiz edilerek farkl\u0131 ama\u00e7lar i\u00e7in kullan\u0131labilir. \u00c7ok daha b\u00fcy\u00fck veriler \u00fczerinde ve \u00e7ok daha kapsaml\u0131 analizler yap\u0131lmas\u0131, b\u00fcy\u00fck veri (<strong>big data<\/strong>) kavram\u0131n\u0131 ortaya \u00e7\u0131karm\u0131\u015ft\u0131r.<\/p>\n<p>Big data, sa\u011flam\u0131\u015f oldu\u011fu yararlar ve yapm\u0131\u015f oldu\u011fu etkiler ile g\u00fcn\u00fcm\u00fcz d\u00fcnyas\u0131n\u0131 her ge\u00e7en g\u00fcn biraz daha etkilemektedir.<\/p>\n<h2><strong>B\u00fcy\u00fck Veri Nedir?<\/strong><\/h2>\n<p><strong>Big data<\/strong>, geleneksel veri i\u015fleme teknikleri ve ara\u00e7lar\u0131 kullan\u0131larak i\u015flenmesi m\u00fcmk\u00fcn olmayan veya zor olan b\u00fcy\u00fck verileri belirtir. S\u00f6z konusu veriler, farkl\u0131 kaynaklardan gelebilir. Sosyal medya a\u011flar\u0131, sens\u00f6rler ve benzeri kaynaklardan al\u0131nan veriler yap\u0131land\u0131r\u0131lm\u0131\u015f veya yap\u0131land\u0131r\u0131lmam\u0131\u015f olabilir. Ayr\u0131ca formatlar\u0131nda da \u00e7e\u015fitlilik vard\u0131r.<\/p>\n<p>B\u00fcy\u00fck verinin kendine has karakteristik \u00f6zellikleri vard\u0131r. Bu \u00f6zellikleri ile klasik anlamdaki verilerden ayr\u0131l\u0131r. Bu \u00f6zellikler; y\u00fcksek h\u0131z, b\u00fcy\u00fck hacim ve y\u00fcksek \u00e7e\u015fitliliktir. Bunlar nedeniyle <strong>big data<\/strong>, geleneksel veri y\u00f6netim sistemlerinde depolanamaz ve buralarda analiz edilemez. B\u00fcy\u00fck verinin depolanmas\u0131 ve analiz edilmesi i\u00e7in \u00f6zel ara\u00e7lar\u0131n kullan\u0131lmas\u0131 gerekir.<\/p>\n<h2><strong>B\u00fcy\u00fck Veri Neden \u00d6nemlidir?<\/strong><\/h2>\n<p><strong>Big data<\/strong>, \u00e7ok b\u00fcy\u00fck ve \u00e7ok karma\u015f\u0131k veri k\u00fcmeleri olarak da ifade edilebilir. Bunlar, insanlar ve geleneksel y\u00f6ntemlerle genellikle i\u015flenemez veya \u00e7ok zor i\u015flenir. \u00d6zel ara\u00e7lar ve teknikler kullan\u0131larak devasa b\u00fcy\u00fckl\u00fckteki ve karma\u015f\u0131kl\u0131ktaki veriler analiz edildi\u011finde, elde edilen sonu\u00e7lar ile bir\u00e7ok alanda tutarl\u0131 \u00f6ng\u00f6r\u00fcler yap\u0131labilir. \u0130\u015fte bu durum, <strong><em>big data neden \u00f6nemlidir<\/em><\/strong> sorusunun cevab\u0131d\u0131r.<\/p>\n<p>Big data ile insan davran\u0131\u015flar\u0131 ve tercihleri \u00fczerine \u00e7\u0131kar\u0131mlar yap\u0131labilir. <strong>Sat\u0131\u015f <\/strong>konusunda strateji belirlerken veya reklam analizleri yaparken bu veriler, hem istenen sonuca ula\u015fmay\u0131 sa\u011flar hem de verimlili\u011fi art\u0131r\u0131r. <strong>Big data<\/strong>, sadece i\u015fletmeler ve sat\u0131\u015f a\u00e7\u0131s\u0131ndan de\u011fil, ayn\u0131 zamanda bilim a\u00e7\u0131s\u0131ndan da \u00e7ok \u00f6nemli yararlar sa\u011flar.<\/p>\n<h2><strong>B\u00fcy\u00fck Veri Kullan\u0131m Alanlar\u0131<\/strong><\/h2>\n<p>Esas\u0131nda b\u00fcy\u00fck verinin d\u00fcnyay\u0131 nas\u0131l etkiledi\u011fi, kullan\u0131m alanlar\u0131nda cevab\u0131 aranmas\u0131 gereken bir sorudur. B\u00fcy\u00fck verinin kullan\u0131m alanlar\u0131n\u0131n \u00e7e\u015fitlili\u011fi ve bu alanlar\u0131n her ge\u00e7en g\u00fcn biraz daha artmas\u0131, d\u00fcnyaya olan etkilerinin de giderek artmas\u0131 \u015feklinde yorumlanabilir. <a href=\"https:\/\/northsoft.co\/blog\/genel\/big-data-nedir\/\"><strong>B\u00fcy\u00fck veri <\/strong><\/a>kullan\u0131m alanlar\u0131 \u015fu \u015fekildedir:<\/p>\n<ul>\n<li><strong>Operasyon Verimlili\u011fi:<\/strong> Veri analizlerinden elde edilen sonu\u00e7lar ile kesintilerin azalt\u0131lmas\u0131, gelecekteki taleplerin tahmin edilmesi, m\u00fc\u015fteri yorumlar\u0131na ve geri d\u00f6n\u00fc\u015flerine bakarak gelecekte neler ya\u015fanaca\u011f\u0131na dair tutarl\u0131 \u00f6ng\u00f6r\u00fclerde bulunulabilir. Bu tutarl\u0131 \u00f6ng\u00f6r\u00fcler ise verimlili\u011fi art\u0131racakt\u0131r.<\/li>\n<li><strong>M\u00fc\u015fteri Memnuniyeti<\/strong>: Hizmet veya \u00fcr\u00fcn \u00fcreten i\u015fletmeler, \u015firketler aras\u0131nda b\u00fcy\u00fck bir rekabet vard\u0131r. Bu rekabette \u00f6ne \u00e7\u0131kmak i\u00e7in m\u00fc\u015fteri memnuniyetine \u00f6nem verilmesi gerekir. <strong>CRM<\/strong>, bu noktadaki en \u00f6nemli y\u00f6ntemdir. <strong>Big data<\/strong>&nbsp;ile birlikte m\u00fc\u015fteri ili\u015fkileri y\u00f6netimi daha m\u00fckemmel hale gelir ve m\u00fc\u015fteri memnuniyeti artar.<\/li>\n<li><strong>Makine \u00d6\u011frenimi<\/strong>: Big data, makineleri e\u011fitmeyi m\u00fcmk\u00fcn k\u0131lar. Kula\u011fa biraz \u00e7\u0131lg\u0131nca gelebilir, ancak yapay zekalar ile birlikte b\u00fcy\u00fck veri kullan\u0131ld\u0131\u011f\u0131nda, makine \u00f6\u011frenimi m\u00fcmk\u00fcn olacakt\u0131r.<\/li>\n<\/ul>\n<p>Bunlar\u0131n d\u0131\u015f\u0131nda, farkl\u0131 alanlarda da kullan\u0131ld\u0131\u011f\u0131 bilinmektedir.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Veri, g\u00fcn\u00fcm\u00fcz\u00fcn en de\u011ferli varl\u0131\u011f\u0131d\u0131r. Farkl\u0131 kaynaklardan elde edilen veriler (bilgiler), analiz edilerek farkl\u0131 ama\u00e7lar i\u00e7in kullan\u0131labilir. \u00c7ok daha b\u00fcy\u00fck veriler \u00fczerinde ve \u00e7ok daha kapsaml\u0131 analizler yap\u0131lmas\u0131, b\u00fcy\u00fck veri (big data) kavram\u0131n\u0131 ortaya \u00e7\u0131karm\u0131\u015ft\u0131r. Big data, sa\u011flam\u0131\u015f oldu\u011fu yararlar ve yapm\u0131\u015f oldu\u011fu etkiler ile g\u00fcn\u00fcm\u00fcz d\u00fcnyas\u0131n\u0131 her ge\u00e7en g\u00fcn biraz daha etkilemektedir. B\u00fcy\u00fck Veri [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":207,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-206","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-genel"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/posts\/206","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/comments?post=206"}],"version-history":[{"count":2,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/posts\/206\/revisions"}],"predecessor-version":[{"id":209,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/posts\/206\/revisions\/209"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/media\/207"}],"wp:attachment":[{"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/media?parent=206"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/categories?post=206"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/tags?post=206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}