{"id":476671,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:12","modified_gmt":"2023-09-05T11:13:12","slug":"data-matching","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/data-matching\/","title":{"rendered":"Veri e\u015fle\u015ftirme"},"content":{"rendered":"<p>Veri e\u015fle\u015ftirme, bilgi sistemlerinde birden fazla veri taban\u0131ndaki veya hatta tek bir veri taban\u0131ndaki ayn\u0131 varl\u0131klara kar\u015f\u0131l\u0131k gelen kay\u0131tlar\u0131 tan\u0131mlamak, e\u015fle\u015ftirmek ve birle\u015ftirmek i\u00e7in kullan\u0131lan bir s\u00fcre\u00e7tir. Ayn\u0131 zamanda kay\u0131t ba\u011flant\u0131s\u0131 veya veri tekille\u015ftirme olarak da bilinir. Bu s\u00fcre\u00e7, veri do\u011frulu\u011funu ve g\u00fcvenilirli\u011fini sa\u011flamak i\u00e7in sa\u011fl\u0131k bili\u015fimi, veri madencili\u011fi, metin alma ve veri temizleme gibi bir\u00e7ok alanda temel \u00f6neme sahiptir.<\/p>\n<h2>Veri E\u015fle\u015ftirmenin Tarihsel Geli\u015fimi<\/h2>\n<p>Veri e\u015fle\u015ftirme kavram\u0131n\u0131n k\u00f6keni, sa\u011fl\u0131k sekt\u00f6r\u00fcndeki ilk \u00f6nemli uygulama olan 1940&#039;l\u0131 y\u0131llara kadar uzanmaktad\u0131r. \u0130lk olarak halk sa\u011fl\u0131\u011f\u0131 ara\u015ft\u0131rmalar\u0131nda n\u00fcfus kay\u0131tlar\u0131 ile \u00f6l\u00fcm belgeleri aras\u0131ndaki kay\u0131tlar\u0131 ba\u011flamak i\u00e7in bu y\u00f6ntemi kullanan Halbert L. Dunn taraf\u0131ndan tan\u0131t\u0131ld\u0131. 1950&#039;lerde &quot;kay\u0131t ba\u011flant\u0131s\u0131&quot; terimi Robert Ledley taraf\u0131ndan icat edildi. Y\u0131llar ge\u00e7tik\u00e7e veri e\u015fle\u015ftirme, teknolojideki ilerlemeler ve veri b\u00fcy\u00fcmesiyle birlikte geli\u015ferek veri y\u00f6netimi ortam\u0131n\u0131n \u00f6nemli bir par\u00e7as\u0131 haline geldi.<\/p>\n<h2>Veri E\u015fle\u015ftirme Kavram\u0131n\u0131 Ke\u015ffetmek<\/h2>\n<p>Veri e\u015fle\u015ftirme, ayn\u0131 varl\u0131kla ilgili giri\u015fleri bulmak i\u00e7in bir veri kayna\u011f\u0131ndaki kay\u0131tlar\u0131 di\u011feriyle kar\u015f\u0131la\u015ft\u0131rmay\u0131 i\u00e7erir. E\u015fle\u015ftirme i\u015flemi belirli algoritmalara ve kurallara g\u00f6re ger\u00e7ekle\u015ftirilir. E\u015fle\u015ftirme tam (m\u00fckemmel bir e\u015fle\u015fme arayan) veya bulan\u0131k (baz\u0131 tutars\u0131zl\u0131klar\u0131 tolere eden) olabilir.<\/p>\n<p>Tipik olarak s\u00fcre\u00e7 \u015fu ad\u0131mlar\u0131 i\u00e7erir:<\/p>\n<ol>\n<li>Veri \u00f6n i\u015fleme: Verilerin temizlenmesini, d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesini ve standartla\u015ft\u0131r\u0131lmas\u0131n\u0131 i\u00e7erir.<\/li>\n<li>\u0130ndeksleme: Kar\u015f\u0131la\u015ft\u0131rma say\u0131s\u0131n\u0131 azaltmaya yard\u0131mc\u0131 olur.<\/li>\n<li>Kay\u0131t \u00e7ifti kar\u015f\u0131la\u015ft\u0131rmas\u0131: \u0130kili kar\u015f\u0131la\u015ft\u0131rmalar bir dizi nitelik temel al\u0131narak yap\u0131l\u0131r.<\/li>\n<li>S\u0131n\u0131fland\u0131rma: \u00c7iftler e\u015fle\u015fenler, e\u015fle\u015fmeyenler veya potansiyel e\u015fle\u015fmeler olarak s\u0131n\u0131fland\u0131r\u0131l\u0131r.<\/li>\n<li>De\u011ferlendirme: Ma\u00e7lar\u0131n kalitesinin de\u011ferlendirilmesi.<\/li>\n<\/ol>\n<h2>Veri E\u015fle\u015ftirmenin \u0130\u00e7 Mekani\u011fi<\/h2>\n<p>Veri e\u015fle\u015ftirme, kar\u015f\u0131la\u015ft\u0131rma temelinde \u00e7al\u0131\u015f\u0131r. Bir veri e\u015fle\u015ftirme sistemine iki veri k\u00fcmesi beslendi\u011finde sistem, veri k\u00fcmeleri aras\u0131ndaki &#039;mesafeyi&#039; veya &#039;benzerli\u011fi&#039; bulmak i\u00e7in algoritmalar kullan\u0131r. Benzerlik veya uzakl\u0131k derecesi, kay\u0131tlar\u0131n e\u015fle\u015fip e\u015fle\u015fmeyece\u011fini belirleyecektir. Bu i\u015flem i\u00e7in yayg\u0131n olarak kullan\u0131lan algoritmalar aras\u0131nda Jaro-Winkler, Levenshtein mesafesi ve Smith-Waterman algoritmas\u0131 bulunur.<\/p>\n<h2>Veri E\u015fle\u015ftirmenin Temel \u00d6zellikleri<\/h2>\n<p>Veri e\u015fle\u015ftirme birka\u00e7 temel \u00f6zellik sergiler:<\/p>\n<ul>\n<li>\u00d6l\u00e7eklenebilirlik: B\u00fcy\u00fck hacimli verileri i\u015fleyebilir.<\/li>\n<li>Esneklik: Yap\u0131land\u0131r\u0131lm\u0131\u015f ve yap\u0131land\u0131r\u0131lmam\u0131\u015f verilerle \u00e7al\u0131\u015fabilir.<\/li>\n<li>Do\u011fruluk: Y\u00fcksek hassasiyet ve geri \u00e7a\u011f\u0131rma oranlar\u0131.<\/li>\n<li>H\u0131z: E\u015fle\u015ftirme g\u00f6revlerini h\u0131zl\u0131 bir \u015fekilde ger\u00e7ekle\u015ftirme yetene\u011fi.<\/li>\n<\/ul>\n<h2>Veri E\u015fle\u015ftirme T\u00fcrleri<\/h2>\n<p>Veri e\u015fle\u015ftirme iki ana \u015fekilde kategorize edilebilir:<\/p>\n<ol>\n<li><strong>Tekni\u011fe G\u00f6re:<\/strong>\n<ul>\n<li><strong>Deterministik E\u015fle\u015ftirme:<\/strong> Bir veya daha fazla tan\u0131mlay\u0131c\u0131da tam e\u015fle\u015fmeyi kullan\u0131r.<\/li>\n<li><strong>Olas\u0131l\u0131ksal E\u015fle\u015ftirme:<\/strong> \u00c7e\u015fitli tan\u0131mlay\u0131c\u0131larla istatistiksel puanlamay\u0131 kullan\u0131r.<\/li>\n<li><strong>Hibrit E\u015fle\u015ftirme:<\/strong> Deterministik ve olas\u0131l\u0131ksal tekniklerin birle\u015fimi.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Uygulamaya G\u00f6re:<\/strong>\n<ul>\n<li><strong>Veritaban\u0131 Tekille\u015ftirme:<\/strong> Bir veritaban\u0131ndaki yinelenen kay\u0131tlar\u0131 kald\u0131r\u0131r.<\/li>\n<li><strong>Veritaban\u0131 Ba\u011flant\u0131s\u0131:<\/strong> Kay\u0131tlar\u0131 birden fazla veritaban\u0131na ba\u011flar.<\/li>\n<li><strong>Veri F\u00fczyonu:<\/strong> Daha kapsaml\u0131 bilgi \u00fcretmek i\u00e7in \u00e7e\u015fitli kaynaklar\u0131 birle\u015ftirir.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h2>Veri E\u015fle\u015ftirme Uygulamalar\u0131, Zorluklar ve \u00c7\u00f6z\u00fcmler<\/h2>\n<p>Veri e\u015fle\u015ftirme, sa\u011fl\u0131k hizmetlerinden finansa, e-ticarete ve pazarlamaya kadar bir\u00e7ok sekt\u00f6rde kullan\u0131lmaktad\u0131r. Ancak b\u00fcy\u00fck veri hacimlerinin i\u015flenmesi, veri gizlili\u011finin korunmas\u0131 ve y\u00fcksek do\u011frulu\u011fun sa\u011flanmas\u0131 gibi zorluklarla kar\u015f\u0131 kar\u015f\u0131yad\u0131r. \u00c7\u00f6z\u00fcmler aras\u0131nda y\u00fcksek kapasiteli sistemlerin kullan\u0131lmas\u0131, gizlili\u011fi koruyan tekniklerin uygulanmas\u0131 ve daha iyi sonu\u00e7lar i\u00e7in e\u015fle\u015ftirme algoritmalar\u0131n\u0131n s\u00fcrekli olarak ayarlanmas\u0131 yer al\u0131r.<\/p>\n<h2>Kar\u015f\u0131la\u015ft\u0131rmalar ve Temel \u00d6zellikler<\/h2>\n<p>Veri entegrasyonu ve veri senkronizasyonu gibi benzer kavramlarla kar\u015f\u0131la\u015ft\u0131r\u0131ld\u0131\u011f\u0131nda, veri e\u015fle\u015ftirme daha spesifiktir ve ayn\u0131 kay\u0131tlar\u0131n tan\u0131mlanmas\u0131n\u0131 ve birle\u015ftirilmesini hedefler. Veri entegrasyonu, farkl\u0131 kaynaklardan gelen verileri birle\u015ftirmeyi ve birle\u015fik bir g\u00f6r\u00fcn\u00fcm sa\u011flamay\u0131 i\u00e7erirken, veri senkronizasyonu, tutarl\u0131l\u0131\u011f\u0131 korumak i\u00e7in iki veya daha fazla konumdaki verilerin ayn\u0131 anda g\u00fcncellenmesini sa\u011flar.<\/p>\n<h2>Gelecek Perspektifleri ve Teknolojiler<\/h2>\n<p>Veri e\u015fle\u015ftirmenin gelece\u011fi, geli\u015fmi\u015f do\u011fruluk ve verimlilik i\u00e7in makine \u00f6\u011frenimi ve yapay zeka algoritmalar\u0131n\u0131n uygulanmas\u0131nda yatmaktad\u0131r. B\u00fcy\u00fck Verinin y\u00fckseli\u015fiyle birlikte ak\u0131ll\u0131, otomatik veri e\u015fle\u015ftirme ara\u00e7lar\u0131na olan talep de art\u0131yor.<\/p>\n<h2>Proxy Sunucular\u0131 ve Veri E\u015fle\u015ftirme<\/h2>\n<p>Proxy sunucular\u0131, daha h\u0131zl\u0131 veri eri\u015fimi sa\u011flayarak, veri gizlili\u011fini koruyarak ve veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc sa\u011flayarak veri e\u015fle\u015ftirme s\u00fcre\u00e7lerine yard\u0131mc\u0131 olabilir. \u00d6rne\u011fin, bir proxy sunucusu, istekte bulunan kullan\u0131c\u0131n\u0131n veya sistemin gizlili\u011fini korurken, e\u015fle\u015ftirme amac\u0131yla farkl\u0131 sunuculardan veri almak i\u00e7in kullan\u0131labilir.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<ol>\n<li><a href=\"https:\/\/www.ibm.com\/docs\/en\/i\/7.2?topic=designs-record-matching\" target=\"_new\" rel=\"noopener nofollow\">IBM Knowledge Center: Veri E\u015fle\u015ftirme<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Record_linkage\" target=\"_new\" rel=\"noopener nofollow\">Vikipedi: Kay\u0131t Ba\u011flant\u0131s\u0131<\/a><\/li>\n<li><a href=\"https:\/\/docs.microsoft.com\/en-us\/sql\/data-quality-services\/data-quality-services?view=sql-server-ver15\" target=\"_new\" rel=\"noopener nofollow\">Microsoft SQL Server: Veri Kalitesi Hizmetleri<\/a><\/li>\n<\/ol>","protected":false},"featured_media":468119,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476671","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Data Matching: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Data Matching?","answer":"<p>Data matching is the process used in information systems to identify, match, and merge records that correspond to the same entities from several databases or even within one database. It's fundamental in various fields like health informatics, data mining, text retrieval, and data cleansing.<\/p>"},{"question":"What is the history of Data Matching?","answer":"<p>Data matching originated in the 1940s, with its first significant application in the health sector by Halbert L. Dunn. The term \"record linkage,\" a synonym for data matching, was later coined by Robert Ledley in the 1950s.<\/p>"},{"question":"How does Data Matching work?","answer":"<p>Data matching works by comparing records from one data source with another to find entries that relate to the same entity. This process is carried out based on specific algorithms and rules and can involve exact or fuzzy matching.<\/p>"},{"question":"What are the key features of Data Matching?","answer":"<p>Key features of data matching include scalability (handling large volumes of data), flexibility (working with structured and unstructured data), accuracy (high precision and recall rates), and speed (performing matching tasks quickly).<\/p>"},{"question":"What types of Data Matching exist?","answer":"<p>Data matching can be categorized by technique into deterministic, probabilistic, and hybrid matching. By application, it can be categorized into database deduplication, database linkage, and data fusion.<\/p>"},{"question":"What are the applications and challenges of Data Matching?","answer":"<p>Data matching is used across sectors, from healthcare to finance, e-commerce, and marketing. However, it faces challenges such as handling large volumes of data, maintaining data privacy, and ensuring high accuracy.<\/p>"},{"question":"What are the future perspectives and technologies related to Data Matching?","answer":"<p>The future of data matching lies in the application of machine learning and artificial intelligence algorithms for improved accuracy and efficiency, with the rise of Big Data increasing the demand for intelligent, automated data matching tools.<\/p>"},{"question":"How can Proxy Servers be used or associated with Data Matching?","answer":"<p>Proxy servers can aid data matching processes by providing faster data access, maintaining data privacy, and ensuring data integrity. They can be used to retrieve data from different servers for matching while maintaining the anonymity of the user or system making the request.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476671","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\/476671\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/468119"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}