{"id":476011,"date":"2023-08-09T07:25:33","date_gmt":"2023-08-09T07:25:33","guid":{"rendered":""},"modified":"2023-09-05T11:11:50","modified_gmt":"2023-09-05T11:11:50","slug":"big-data","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/big-data\/","title":{"rendered":"B\u00fcy\u00fck veri"},"content":{"rendered":"<p>B\u00fcy\u00fck veri, geleneksel veri i\u015fleme yaz\u0131l\u0131m uygulamalar\u0131 taraf\u0131ndan ele al\u0131namayacak kadar b\u00fcy\u00fck veya karma\u015f\u0131k olan veri k\u00fcmelerini analiz etme, sistematik olarak bilgi \u00e7\u0131karma veya ba\u015fka \u015fekilde ele alma yollar\u0131n\u0131 ele alan bir alan\u0131 ifade eder. Standart yaz\u0131l\u0131m ara\u00e7lar\u0131n\u0131n kapasitelerini \u00e7ok a\u015fan, hem yap\u0131land\u0131r\u0131lm\u0131\u015f hem de yap\u0131land\u0131r\u0131lmam\u0131\u015f b\u00fcy\u00fck miktarlardaki verileri i\u015flemek i\u00e7in ola\u011fan\u00fcst\u00fc teknolojiler i\u00e7erir.<\/p>\n<h2>B\u00fcy\u00fck Verinin K\u00f6keni ve Erken Tarihi<\/h2>\n<p>&#039;B\u00fcy\u00fck Veri&#039; terimi 1990&#039;lar\u0131n ba\u015f\u0131nda ortaya \u00e7\u0131kt\u0131, ancak 2000&#039;lerin ba\u015f\u0131nda daha yayg\u0131n bir \u015fekilde tan\u0131nd\u0131. B\u00fcy\u00fck veri kavram\u0131, geleneksel veritabanlar\u0131n\u0131n i\u015fleyebilece\u011fi veri hacmi, \u00e7e\u015fitlili\u011fi ve h\u0131z\u0131n\u0131n \u00e7ok \u00f6tesinde, daha b\u00fcy\u00fck veri k\u00fcmelerinin analiz edilmesinden de\u011ferli i\u00e7g\u00f6r\u00fcler elde edilebilece\u011finin fark\u0131na var\u0131lmas\u0131ndan do\u011fmu\u015ftur.<\/p>\n<p>1990&#039;l\u0131 ve 2000&#039;li y\u0131llarda internet ve dijital teknolojilerin y\u00fckseli\u015fi, veri olu\u015fturma ve toplamay\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde h\u0131zland\u0131rarak b\u00fcy\u00fck veri \u00e7a\u011f\u0131n\u0131n ba\u015flang\u0131c\u0131n\u0131 i\u015faret etti. A\u00e7\u0131k kaynakl\u0131 bir b\u00fcy\u00fck veri platformu olan Doug Cut&#039;\u0131n Hadoop&#039;unun 2006 y\u0131l\u0131nda piyasaya s\u00fcr\u00fclmesi, b\u00fcy\u00fck veri tarihinde \u00e7ok \u00f6nemli bir and\u0131.<\/p>\n<h2>B\u00fcy\u00fck Veri Alan\u0131: Konuyu Geni\u015fletmek<\/h2>\n<p>B\u00fcy\u00fck veri, bir dizi &quot;V&quot; taraf\u0131ndan kaps\u00fcllenen hacmin, \u00e7e\u015fitlili\u011fin ve h\u0131z\u0131n \u00f6tesine uzan\u0131r. En yayg\u0131n olarak tan\u0131nanlar \u015funlard\u0131r:<\/p>\n<ol>\n<li>\n<p><strong>Hacim:<\/strong> \u00dcretilen ve saklanan veri miktar\u0131.<\/p>\n<\/li>\n<li>\n<p><strong>H\u0131z:<\/strong> Verilerin olu\u015fturulma ve i\u015flenme h\u0131z\u0131.<\/p>\n<\/li>\n<li>\n<p><strong>\u00c7e\u015fitlilik:<\/strong> Verinin t\u00fcr\u00fc ve niteli\u011fi.<\/p>\n<\/li>\n<li>\n<p><strong>Do\u011fruluk:<\/strong> Yakalanan verilerin kalitesi b\u00fcy\u00fck \u00f6l\u00e7\u00fcde de\u011fi\u015febilir.<\/p>\n<\/li>\n<li>\n<p><strong>De\u011fer:<\/strong> Karar vermede verilerin faydas\u0131.<\/p>\n<\/li>\n<\/ol>\n<p>Teknolojideki ilerlemelerle birlikte ek V&#039;ler de tan\u0131nm\u0131\u015ft\u0131r: <strong>De\u011fi\u015fkenlik<\/strong> (verilerde zaman veya ba\u011flam i\u00e7inde meydana gelen de\u011fi\u015fiklikler) ve <strong>G\u00f6rselle\u015ftirme<\/strong> (verilerin a\u00e7\u0131k ve sezgisel bir \u015fekilde sunulmas\u0131).<\/p>\n<h2>B\u00fcy\u00fck Veri Nas\u0131l \u00c7al\u0131\u015f\u0131r: \u0130\u00e7 Yap\u0131<\/h2>\n<p>B\u00fcy\u00fck veri, verileri ara\u015ft\u0131rmak ve analiz etmek i\u00e7in kullan\u0131lan yaz\u0131l\u0131m ara\u00e7lar\u0131, algoritmalar ve istatistiksel y\u00f6ntemlerin bir kombinasyonu yoluyla \u00e7al\u0131\u015f\u0131r. Geleneksel veri y\u00f6netimi ara\u00e7lar\u0131n\u0131n bu kadar b\u00fcy\u00fck veri hacimlerini i\u015fleme yetene\u011finin olmamas\u0131, Hadoop, NoSQL veritabanlar\u0131 ve Apache Spark gibi \u00f6zel b\u00fcy\u00fck veri ara\u00e7lar\u0131n\u0131n ve platformlar\u0131n\u0131n geli\u015ftirilmesine yol a\u00e7m\u0131\u015ft\u0131r.<\/p>\n<p>Bu teknolojiler, veri i\u015fleme g\u00f6revlerini birden fazla d\u00fc\u011f\u00fcme da\u011f\u0131tmak, yatay \u00f6l\u00e7eklenebilirlik ve ar\u0131zalara kar\u015f\u0131 dayan\u0131kl\u0131l\u0131k sa\u011flamak \u00fczere tasarlanm\u0131\u015ft\u0131r. Hem yap\u0131land\u0131r\u0131lm\u0131\u015f hem de yap\u0131land\u0131r\u0131lmam\u0131\u015f verilerle ilgilenerek, herhangi bir formattaki ve \u00e7e\u015fitli kaynaklardan gelen verileri i\u015fleyebilirler.<\/p>\n<h2>B\u00fcy\u00fck Verinin Temel \u00d6zellikleri<\/h2>\n<ul>\n<li>\n<p><strong>B\u00fcy\u00fck Hacim:<\/strong> B\u00fcy\u00fck verinin temel \u00f6zelli\u011fi, genellikle petabayt ve eksabayt cinsinden \u00f6l\u00e7\u00fclen b\u00fcy\u00fck hacimdir.<\/p>\n<\/li>\n<li>\n<p><strong>Y\u00fcksek h\u0131z:<\/strong> B\u00fcy\u00fck veriler benzeri g\u00f6r\u00fclmemi\u015f bir h\u0131zda \u00fcretilir ve maksimum de\u011fer i\u00e7in neredeyse ger\u00e7ek zamanl\u0131 olarak i\u015flenmesi gerekir.<\/p>\n<\/li>\n<li>\n<p><strong>\u00c7ok \u00e7e\u015fitli:<\/strong> Veriler \u00e7e\u015fitli kaynaklardan ve \u00e7e\u015fitli formatlarda (metin, say\u0131sal, resim, ses, video vb.) gelir.<\/p>\n<\/li>\n<li>\n<p><strong>D\u00fc\u015f\u00fck yo\u011funluklu:<\/strong> B\u00fcy\u00fck veri genellikle y\u00fcksek oranda alakas\u0131z veya gereksiz bilgi i\u00e7erir.<\/p>\n<\/li>\n<li>\n<p><strong>Tutars\u0131zl\u0131k:<\/strong> H\u0131z ve \u00e7e\u015fitlilik fakt\u00f6rleri veri tutars\u0131zl\u0131\u011f\u0131na yol a\u00e7abilir.<\/p>\n<\/li>\n<\/ul>\n<h2>B\u00fcy\u00fck Veri T\u00fcrleri<\/h2>\n<p>B\u00fcy\u00fck veri genel olarak \u00fc\u00e7 t\u00fcre ayr\u0131l\u0131r:<\/p>\n<ol>\n<li>\n<p><strong>Yap\u0131land\u0131r\u0131lm\u0131\u015f Veriler:<\/strong> Tan\u0131mlanm\u0131\u015f uzunluk ve formatta d\u00fczenlenmi\u015f veriler. \u00d6rne\u011fin, RDBMS verileri.<\/p>\n<\/li>\n<li>\n<p><strong>Yar\u0131 Yap\u0131land\u0131r\u0131lm\u0131\u015f Veriler:<\/strong> Bir veri modelinin resmi yap\u0131s\u0131na sahip olmayan ancak analiz etmeyi kolayla\u015ft\u0131ran baz\u0131 organizasyonel \u00f6zelliklere sahip olan hibrit veriler. \u00d6rne\u011fin, XML verileri.<\/p>\n<\/li>\n<li>\n<p><strong>Yap\u0131land\u0131r\u0131lmam\u0131\u015f Veriler:<\/strong> Belirli bir formu veya yap\u0131s\u0131 olmayan veriler. \u00d6rne\u011fin, Sosyal medya verileri, CCTV g\u00f6r\u00fcnt\u00fcleri.<\/p>\n<\/li>\n<\/ol>\n<table>\n<thead>\n<tr>\n<th>Tip<\/th>\n<th>Tan\u0131m<\/th>\n<th>\u00d6rnek<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Yap\u0131land\u0131r\u0131lm\u0131\u015f<\/td>\n<td>Tan\u0131mlanm\u0131\u015f uzunluk ve formatta d\u00fczenlenmi\u015f veriler<\/td>\n<td>RDBMS verileri<\/td>\n<\/tr>\n<tr>\n<td>Yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f<\/td>\n<td>Baz\u0131 kurumsal \u00f6zelliklere sahip hibrit veriler<\/td>\n<td>XML verileri<\/td>\n<\/tr>\n<tr>\n<td>yap\u0131land\u0131r\u0131lmam\u0131\u015f<\/td>\n<td>Belirli bir formu veya yap\u0131s\u0131 olmayan veriler<\/td>\n<td>Sosyal medya verileri<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>B\u00fcy\u00fck Veri Kullan\u0131m\u0131, Sorunlar\u0131 ve \u00c7\u00f6z\u00fcmleri<\/h2>\n<p>B\u00fcy\u00fck veriler, \u00e7e\u015fitli sekt\u00f6rlerde tahmine dayal\u0131 analitik, kullan\u0131c\u0131 davran\u0131\u015f\u0131 analiti\u011fi ve geli\u015fmi\u015f veri yorumlamalar\u0131 i\u00e7in kullan\u0131lmaktad\u0131r. Birka\u00e7\u0131n\u0131 saymak gerekirse sa\u011fl\u0131k, perakende, finans ve imalat gibi sekt\u00f6rleri d\u00f6n\u00fc\u015ft\u00fcrd\u00fc.<\/p>\n<p>B\u00fcy\u00fck veri, potansiyeline ra\u011fmen bir\u00e7ok zorlu\u011fu da beraberinde getiriyor:<\/p>\n<ul>\n<li>\n<p><strong>Veri Depolama ve \u0130\u015fleme:<\/strong> Verilerin b\u00fcy\u00fckl\u00fc\u011f\u00fc, sa\u011flam depolama \u00e7\u00f6z\u00fcmleri ve verimli i\u015fleme teknikleri gerektirir.<\/p>\n<\/li>\n<li>\n<p><strong>Veri g\u00fcvenli\u011fi:<\/strong> B\u00fcy\u00fck hacimli veriler genellikle ihlallere kar\u015f\u0131 korunmas\u0131 gereken hassas bilgiler i\u00e7erir.<\/p>\n<\/li>\n<li>\n<p><strong>Veri gizlili\u011fi:<\/strong> GDPR gibi gizlilik d\u00fczenlemeleri, ki\u015fisel olarak tan\u0131mlanabilir bilgilerin dikkatli bir \u015fekilde kullan\u0131lmas\u0131n\u0131 gerektirir.<\/p>\n<\/li>\n<li>\n<p><strong>Veri kalitesi:<\/strong> Verilerin \u00e7ok \u00e7e\u015fitli olmas\u0131 tutars\u0131zl\u0131klara ve yanl\u0131\u015fl\u0131klara yol a\u00e7abilir.<\/p>\n<\/li>\n<\/ul>\n<p>Bu zorluklar\u0131n \u00fcstesinden gelmek i\u00e7in \u015firketler geli\u015fmi\u015f veri y\u00f6netimi ara\u00e7lar\u0131na yat\u0131r\u0131m yap\u0131yor, g\u00fc\u00e7l\u00fc g\u00fcvenlik \u00f6nlemleri uyguluyor, gizlilik yasalar\u0131na uyuyor ve veri temizleme y\u00f6ntemlerinden yararlan\u0131yor.<\/p>\n<h2>B\u00fcy\u00fck Veriyi Benzer Kavramlarla Kar\u015f\u0131la\u015ft\u0131rmak<\/h2>\n<table>\n<thead>\n<tr>\n<th>Konsept<\/th>\n<th>Tan\u0131m<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>B\u00fcy\u00fck veri<\/td>\n<td>Geleneksel veritabanlar\u0131 i\u00e7in fazla karma\u015f\u0131k olan b\u00fcy\u00fck hacimli verileri kapsar<\/td>\n<\/tr>\n<tr>\n<td>\u0130\u015f zekas\u0131<\/td>\n<td>\u0130\u015fletmelerin veri analizi i\u00e7in kulland\u0131\u011f\u0131 strateji ve teknolojileri ifade eder.<\/td>\n<\/tr>\n<tr>\n<td>Veri madencili\u011fi<\/td>\n<td>B\u00fcy\u00fck veri k\u00fcmelerindeki kal\u0131plar\u0131 ke\u015ffetme s\u00fcreci<\/td>\n<\/tr>\n<tr>\n<td>Makine \u00f6\u011frenme<\/td>\n<td>A\u00e7\u0131k talimatlar olmadan g\u00f6revleri ger\u00e7ekle\u015ftirmek i\u00e7in algoritmalar\u0131n ve istatistiksel modellerin kullan\u0131lmas\u0131<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>B\u00fcy\u00fck Verinin Gelece\u011fi<\/h2>\n<p>B\u00fcy\u00fck verinin gelece\u011fi, yapay zeka ve makine \u00f6\u011frenimi, u\u00e7 bili\u015fim, kuantum bili\u015fim ve 5G teknolojisindeki geli\u015fmelerle i\u00e7 i\u00e7edir. Bu teknolojiler verilerin daha h\u0131zl\u0131 i\u015flenmesine, ger\u00e7ek zamanl\u0131 analizlerin kolayla\u015ft\u0131r\u0131lmas\u0131na ve daha karma\u015f\u0131k analizlerin yap\u0131lmas\u0131na yard\u0131mc\u0131 olacak.<\/p>\n<h2>B\u00fcy\u00fck Veri ve Proxy Sunucular\u0131<\/h2>\n<p>Proxy sunucular\u0131, bir g\u00fcvenlik ve anonimlik katman\u0131 sa\u011flayarak b\u00fcy\u00fck verilerde \u00e7ok \u00f6nemli bir rol oynayabilir. \u015eirketler proxy sunucular\u0131 kullanarak veri toplarken IP adreslerini maskeleyebilir, b\u00f6ylece hassas verilerin potansiyel siber tehditlerden korunmas\u0131na yard\u0131mc\u0131 olabilirler. Ayr\u0131ca proxy&#039;ler, web&#039;den b\u00fcy\u00fck miktarlarda veri toplamak i\u00e7in pop\u00fcler bir y\u00f6ntem olan veri kaz\u0131ma i\u015flemine de yard\u0131mc\u0131 olabilir ve b\u00fcy\u00fck veri analiti\u011fine olanak tan\u0131r.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<ul>\n<li>\n<p><a href=\"https:\/\/www.ibm.com\/analytics\/hadoop\/big-data-overview\" target=\"_new\" rel=\"noopener nofollow\">B\u00fcy\u00fck Veriye Giri\u015f: IBM<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/www.oracle.com\/big-data\/guide\/what-is-big-data.html\" target=\"_new\" rel=\"noopener nofollow\">B\u00fcy\u00fck Veriyi Anlamak: Oracle<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/www.sas.com\/en_us\/insights\/big-data\/what-is-big-data.html\" target=\"_new\" rel=\"noopener nofollow\">B\u00fcy\u00fck Veri Nedir? SAS<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/hbr.org\/2012\/10\/big-data-the-management-revolution\" target=\"_new\" rel=\"noopener nofollow\">B\u00fcy\u00fck Veri Devrimi: Harvard Business Review<\/a><\/p>\n<\/li>\n<\/ul>\n<p>Bu kapsaml\u0131 makale, b\u00fcy\u00fck verinin geni\u015f d\u00fcnyas\u0131n\u0131 derinlemesine inceliyor; ge\u00e7mi\u015fine, yap\u0131s\u0131na, t\u00fcrlerine ve uygulamalar\u0131na ayr\u0131nt\u0131l\u0131 bir bak\u0131\u015f sunuyor. Bilgi \u00e7a\u011f\u0131nda b\u00fcy\u00fck veriyi anlamak hem i\u015fletmeler hem de bireyler i\u00e7in hayati \u00f6nem ta\u015f\u0131yor. Dijital \u00e7a\u011fa ilerledik\u00e7e b\u00fcy\u00fck veriyi y\u00f6netmenin ve anlaman\u0131n \u00f6nemi artmaya devam edecek.<\/p>","protected":false},"featured_media":467719,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476011","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Big Data: The Expanding Universe of Information<\/mark>","faq_items":null},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476011","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476011\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/467719"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476011"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}