{"id":202,"date":"2022-12-20T12:01:29","date_gmt":"2022-12-20T12:01:29","guid":{"rendered":"https:\/\/northsoft.co\/blog\/?p=202"},"modified":"2022-12-20T12:02:25","modified_gmt":"2022-12-20T12:02:25","slug":"big-data-nedir","status":"publish","type":"post","link":"https:\/\/northsoft.co\/blog\/genel\/big-data-nedir\/","title":{"rendered":"Big Data Nedir?"},"content":{"rendered":"<p>Teknolojide ya\u015fanan \u00f6nemli geli\u015fmeler, yeni kavramlar\u0131n ortaya \u00e7\u0131kmas\u0131na neden olmaktad\u0131r. <strong>Big data<\/strong> da bunlardan biridir. Dilimizdeki kar\u015f\u0131l\u0131\u011f\u0131 <strong>b\u00fcy\u00fck veri<\/strong> olan bu kavram, m\u00fcmk\u00fcn olan her alandan ve noktadan toplanan verilerin bir araya gelmesini \/ getirilmesini &nbsp;ve sonras\u0131nda analiz edilmesini ifade etmek i\u00e7in kullan\u0131l\u0131r.<\/p>\n<h2><strong>Big Data (B\u00fcy\u00fck Veri) Nedir?<\/strong><\/h2>\n<p><strong>Big data<\/strong>; geleneksel veri taban\u0131 sistemi kullan\u0131larak analiz edilmesi ve y\u00f6netilmesi m\u00fcmk\u00fcn olmayan verilerdir. Daha farkl\u0131 bir tan\u0131ma g\u00f6re ise verimlili\u011fin art\u0131r\u0131lmas\u0131 ve analiz edilmesi i\u00e7in toplanan, anlaml\u0131 ve i\u015flenebilir verilerin tamam\u0131d\u0131r.<\/p>\n<p>Veri, yani bilgi, bir\u00e7ok kaynak taraf\u0131ndan \u00fcretilir. S\u0131radan insanlardan geli\u015fmi\u015f bilgisayarlara var\u0131ncaya kadar bir\u00e7ok kaynak, s\u00fcrekli olarak <strong>veri<\/strong> \u00fcretmektedir. Baz\u0131 ara\u015ft\u0131rma \u015firketleri, g\u00fcnl\u00fck 2,5 milyar GB veri \u00fcretildi\u011fini ifade etmektedir. Bu rakam dikkate al\u0131nd\u0131\u011f\u0131nda, sadece bir g\u00fcnde, bir ayda ve bir y\u0131lda \u00fcretilen verilerin dahi ne kadar devasa oldu\u011fu anla\u015f\u0131lmaktad\u0131r.<\/p>\n<h2><strong>Big Data \u00d6zellikleri<\/strong><\/h2>\n<p><strong><em>Big data<\/em><\/strong> veya dilimizdeki kar\u015f\u0131l\u0131\u011f\u0131 olan b\u00fcy\u00fck verinin ta\u015f\u0131mas\u0131 gereken baz\u0131 \u00f6zellikler vard\u0131r. Baz\u0131 yerlerde 3V baz\u0131 yerlerde ise bu \u00f6zellikler 5V olarak k\u0131salt\u0131lm\u0131\u015ft\u0131r. 5V; Variety (\u00e7e\u015fitlilik), Volume (hacim), Velocity (h\u0131z), Veracity (do\u011fruluk) ve Value (de\u011fer) \u015feklindedir. Bu \u00f6zelliklere ili\u015fkin detaylar \u015fu \u015fekildedir:<\/p>\n<h3><strong>\u00c7e\u015fitlilik<\/strong><\/h3>\n<p>Toplanan verilerin tek bir kaynakta ve tek bir formatta olmamas\u0131 gerekir. Gerek kaynak gerekse de format bak\u0131m\u0131ndan \u00e7e\u015fitlilik olmal\u0131d\u0131r. Ayr\u0131ca farkl\u0131 formattaki verilerin birbirine d\u00f6n\u00fc\u015ft\u00fcr\u00fclebilir olmas\u0131 da \u00f6nemli bir di\u011fer detayd\u0131r.<\/p>\n<h3><strong>Hacim<\/strong><\/h3>\n<p>Hacim, b\u00fcy\u00fck olmal\u0131d\u0131r. Big data kavram\u0131ndan bahsedebilmek i\u00e7in b\u00fcy\u00fck hacimli ve s\u00fcrekli olarak ak\u0131\u015f\u0131n devam etti\u011fi \u00f6zelli\u011fe sahip veriler olmas\u0131 gerekir.<\/p>\n<h3><strong>Do\u011fruluk<\/strong><\/h3>\n<p>Do\u011fru bilgiye d\u00f6n\u00fc\u015ft\u00fcr\u00fclebilmesi ve kullan\u0131labilir olmas\u0131 i\u00e7in verilerin mutlak surette do\u011fru olmas\u0131 gerekir. Toplanan verilerden, do\u011fru olmayanlar temizlenmelidir.<\/p>\n<h3><strong>H\u0131z<\/strong><\/h3>\n<p>Veri ak\u0131\u015f\u0131n\u0131n h\u0131zl\u0131 ve s\u00fcrekli olmas\u0131 \u00f6nemlidir.<\/p>\n<h3><strong>De\u011fer<\/strong><\/h3>\n<p>Veriler topland\u0131ktan ve i\u015flendikten sonra art\u0131 de\u011fer katmas\u0131 gerekir. E\u011fer b\u00f6yle bir de\u011fer olu\u015fmaz ise toplanan bilgilerin bir i\u015fe yaramas\u0131 ve istenen alanlarda kullan\u0131lmas\u0131 s\u00f6z konusu olmaz.<\/p>\n<h2><strong>Big Data Kullan\u0131m Alanlar\u0131<\/strong><\/h2>\n<p>Bu kavram, bir\u00e7ok ki\u015fiye ba\u015flang\u0131\u00e7ta anlams\u0131z ve abart\u0131l\u0131 gelebilir. Ancak veri, \u00e7a\u011f\u0131m\u0131z\u0131n en \u00f6nemli konular\u0131ndan biridir. Burada toplanan bilgiler, do\u011fru \u015fekilde i\u015flendi\u011finde bir\u00e7ok alanda kullan\u0131labilir ve ger\u00e7ekten de tahminlerin \u00e7ok \u00f6tesinde farklar yaratabilir.<\/p>\n<p>Her ne kadar b\u00fcy\u00fck verinin kullan\u0131m alan\u0131 \u00e7ok geni\u015f olsa da, i\u00e7inde bulundu\u011fumuz d\u00f6nemde bunlardan baz\u0131lar\u0131 \u00f6ne \u00e7\u0131kmaktad\u0131r. S\u00f6z konusu alanlar \u015fu \u015fekildedir:<\/p>\n<h3><strong>\u00dcr\u00fcn Geli\u015ftirme<\/strong><\/h3>\n<p>B\u00fcy\u00fck veri \u00fczerinden yap\u0131lacak analizler ve elde edilecek sonu\u00e7lar, t\u00fcketicilerin hangi t\u00fcrden \u00fcr\u00fcnlere ilgi g\u00f6sterece\u011fini veya ihtiyac\u0131 oldu\u011funu anlama noktas\u0131nda kolayl\u0131k sa\u011flar. G\u00fcn\u00fcm\u00fczde bir\u00e7ok \u015firket \u00fcr\u00fcn geli\u015ftirme s\u00fcrecinde <strong>big data<\/strong> kullanmaktad\u0131r. Netflix, P&amp;G ve Procter &amp; Gamble bunlardan baz\u0131lar\u0131d\u0131r.<\/p>\n<h3><strong>M\u00fc\u015fteri Deneyimi<\/strong><\/h3>\n<p><strong>CRM<\/strong>, yani m\u00fc\u015fteri ili\u015fkileri y\u00f6netimi s\u00fcrecinde bu veriler etkin olarak kullan\u0131l\u0131r ve m\u00fc\u015fterilere dair daha do\u011fru planlamalar yap\u0131lmas\u0131n\u0131 sa\u011flar.<\/p>\n<p>Bunlar\u0131n haricinde <em>operasyonel verimlilik, makine \u00f6\u011frenimi, uyumluluk, i\u015f performans\u0131, reklam y\u00f6netimi <\/em>gibi alanlarda da kullan\u0131l\u0131r.<\/p>\n<p>Big Data ile ilgili daha fazla bilgi i\u00e7in <a href=\"http:\/\/northsoft.co\">Northsoft.co<\/a><\/p>\n\n\n<h2 class=\"wp-block-heading\"><\/h2>\n","protected":false},"excerpt":{"rendered":"<p>Teknolojide ya\u015fanan \u00f6nemli geli\u015fmeler, yeni kavramlar\u0131n ortaya \u00e7\u0131kmas\u0131na neden olmaktad\u0131r. Big data da bunlardan biridir. Dilimizdeki kar\u015f\u0131l\u0131\u011f\u0131 b\u00fcy\u00fck veri olan bu kavram, m\u00fcmk\u00fcn olan her alandan ve noktadan toplanan verilerin bir araya gelmesini \/ getirilmesini &nbsp;ve sonras\u0131nda analiz edilmesini ifade etmek i\u00e7in kullan\u0131l\u0131r. Big Data (B\u00fcy\u00fck Veri) Nedir? Big data; geleneksel veri taban\u0131 sistemi kullan\u0131larak [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":203,"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-202","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\/202","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=202"}],"version-history":[{"count":2,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/posts\/202\/revisions"}],"predecessor-version":[{"id":205,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/posts\/202\/revisions\/205"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/media\/203"}],"wp:attachment":[{"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/media?parent=202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/categories?post=202"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/northsoft.co\/blog\/wp-json\/wp\/v2\/tags?post=202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}