{"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\/in\/wiki\/data-matching\/","title":{"rendered":"\u0921\u0947\u091f\u093e \u092e\u093f\u0932\u093e\u0928"},"content":{"rendered":"<p>\u0921\u0947\u091f\u093e \u092e\u093f\u0932\u093e\u0928 \u090f\u0915 \u0910\u0938\u0940 \u092a\u094d\u0930\u0915\u094d\u0930\u093f\u092f\u093e \u0939\u0948 \u091c\u093f\u0938\u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0938\u0942\u091a\u0928\u093e \u092a\u094d\u0930\u0923\u093e\u0932\u093f\u092f\u094b\u0902 \u092e\u0947\u0902 \u0909\u0928 \u0930\u093f\u0915\u0949\u0930\u094d\u0921\u094d\u0938 \u0915\u094b \u092a\u0939\u091a\u093e\u0928\u0928\u0947, \u092e\u093f\u0932\u093e\u0928 \u0915\u0930\u0928\u0947 \u0914\u0930 \u092e\u0930\u094d\u091c \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f 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\u0938\u0930\u094d\u0935\u0930 \u0914\u0930 \u0921\u0947\u091f\u093e \u092e\u093f\u0932\u093e\u0928<\/h2>\n<p>\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0924\u0947\u091c\u093c \u0921\u0947\u091f\u093e \u090f\u0915\u094d\u0938\u0947\u0938 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0915\u0947, \u0921\u0947\u091f\u093e \u0917\u094b\u092a\u0928\u0940\u092f\u0924\u093e \u092c\u0928\u093e\u090f \u0930\u0916\u0924\u0947 \u0939\u0941\u090f \u0914\u0930 \u0921\u0947\u091f\u093e \u0905\u0916\u0902\u0921\u0924\u093e \u0938\u0941\u0928\u093f\u0936\u094d\u091a\u093f\u0924 \u0915\u0930\u0915\u0947 \u0921\u0947\u091f\u093e \u092e\u093f\u0932\u093e\u0928 \u092a\u094d\u0930\u0915\u094d\u0930\u093f\u092f\u093e\u0913\u0902 \u092e\u0947\u0902 \u0938\u0939\u093e\u092f\u0924\u093e \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964 \u0909\u0926\u093e\u0939\u0930\u0923 \u0915\u0947 \u0932\u093f\u090f, \u0905\u0928\u0941\u0930\u094b\u0927 \u0915\u0930\u0928\u0947 \u0935\u093e\u0932\u0947 \u0909\u092a\u092f\u094b\u0917\u0915\u0930\u094d\u0924\u093e \u092f\u093e \u0938\u093f\u0938\u094d\u091f\u092e \u0915\u0940 \u0917\u0941\u092e\u0928\u093e\u092e\u0940 \u0915\u094b \u092c\u0928\u093e\u090f \u0930\u0916\u0924\u0947 \u0939\u0941\u090f, \u092e\u093f\u0932\u093e\u0928 \u0915\u0947 \u0932\u093f\u090f \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0938\u0930\u094d\u0935\u0930\u094b\u0902 \u0938\u0947 \u0921\u0947\u091f\u093e \u092a\u0941\u0928\u0930\u094d\u092a\u094d\u0930\u093e\u092a\u094d\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/p>\n<h2>\u0938\u092e\u094d\u092c\u0902\u0927\u093f\u0924 \u0932\u093f\u0902\u0915\u094d\u0938<\/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\">\u0906\u0908\u092c\u0940\u090f\u092e \u0928\u0949\u0932\u0947\u091c \u0938\u0947\u0902\u091f\u0930: \u0921\u0947\u091f\u093e \u092e\u093f\u0932\u093e\u0928<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Record_linkage\" target=\"_new\" rel=\"noopener nofollow\">\u0935\u093f\u0915\u093f\u092a\u0940\u0921\u093f\u092f\u093e: \u0930\u093f\u0915\u0949\u0930\u094d\u0921 \u0932\u093f\u0902\u0915\u0947\u091c<\/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 \u0938\u0930\u094d\u0935\u0930: \u0921\u0947\u091f\u093e \u0917\u0941\u0923\u0935\u0924\u094d\u0924\u093e \u0938\u0947\u0935\u093e\u090f\u0901<\/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\/in\/wp-json\/wp\/v2\/wiki\/476671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/476671\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media\/468119"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media?parent=476671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}