{"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\/vn\/wiki\/data-matching\/","title":{"rendered":"So kh\u1edbp d\u1eef li\u1ec7u"},"content":{"rendered":"<p>So kh\u1edbp d\u1eef li\u1ec7u l\u00e0 m\u1ed9t qu\u00e1 tr\u00ecnh \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong h\u1ec7 th\u1ed1ng th\u00f4ng tin \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh, so kh\u1edbp v\u00e0 h\u1ee3p nh\u1ea5t c\u00e1c b\u1ea3n ghi t\u01b0\u01a1ng \u1ee9ng v\u1edbi c\u00f9ng m\u1ed9t th\u1ef1c th\u1ec3 t\u1eeb m\u1ed9t s\u1ed1 c\u01a1 s\u1edf d\u1eef li\u1ec7u ho\u1eb7c th\u1eadm ch\u00ed trong m\u1ed9t c\u01a1 s\u1edf d\u1eef li\u1ec7u. N\u00f3 c\u00f2n \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 li\u00ean k\u1ebft b\u1ea3n ghi ho\u1eb7c sao ch\u00e9p d\u1eef li\u1ec7u. Qu\u00e1 tr\u00ecnh n\u00e0y l\u00e0 c\u01a1 b\u1ea3n trong nhi\u1ec1u l\u0129nh v\u1ef1c, ch\u1eb3ng h\u1ea1n nh\u01b0 tin h\u1ecdc y t\u1ebf, khai th\u00e1c d\u1eef li\u1ec7u, truy xu\u1ea5t v\u0103n b\u1ea3n v\u00e0 l\u00e0m s\u1ea1ch d\u1eef li\u1ec7u, \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 \u0111\u1ed9 tin c\u1eady c\u1ee7a d\u1eef li\u1ec7u.<\/p>\n<h2>S\u1ef1 ph\u00e1t tri\u1ec3n l\u1ecbch s\u1eed c\u1ee7a vi\u1ec7c \u0111\u1ed1i s\u00e1nh d\u1eef li\u1ec7u<\/h2>\n<p>\u0110\u1ed1i s\u00e1nh d\u1eef li\u1ec7u nh\u01b0 m\u1ed9t kh\u00e1i ni\u1ec7m c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb nh\u1eefng n\u0103m 1940, v\u1edbi \u1ee9ng d\u1ee5ng quan tr\u1ecdng \u0111\u1ea7u ti\u00ean trong l\u0129nh v\u1ef1c y t\u1ebf. Ban \u0111\u1ea7u n\u00f3 \u0111\u01b0\u1ee3c gi\u1edbi thi\u1ec7u b\u1edfi Halbert L. Dunn, ng\u01b0\u1eddi \u0111\u00e3 s\u1eed d\u1ee5ng ph\u01b0\u01a1ng ph\u00e1p n\u00e0y \u0111\u1ec3 li\u00ean k\u1ebft c\u00e1c h\u1ed3 s\u01a1 gi\u1eefa s\u1ed5 \u0111\u0103ng k\u00fd d\u00e2n s\u1ed1 v\u00e0 gi\u1ea5y ch\u1ee9ng t\u1eed cho nghi\u00ean c\u1ee9u y t\u1ebf c\u00f4ng c\u1ed9ng. V\u00e0o nh\u1eefng n\u0103m 1950, thu\u1eadt ng\u1eef \u201cli\u00ean k\u1ebft b\u1ea3n ghi\u201d \u0111\u01b0\u1ee3c Robert Ledley \u0111\u1eb7t ra. Trong nh\u1eefng n\u0103m qua, vi\u1ec7c k\u1ebft h\u1ee3p d\u1eef li\u1ec7u \u0111\u00e3 ph\u00e1t tri\u1ec3n c\u00f9ng v\u1edbi nh\u1eefng ti\u1ebfn b\u1ed9 trong c\u00f4ng ngh\u1ec7 v\u00e0 t\u0103ng tr\u01b0\u1edfng d\u1eef li\u1ec7u, tr\u1edf th\u00e0nh m\u1ed9t ph\u1ea7n thi\u1ebft y\u1ebfu trong b\u1ed1i c\u1ea3nh qu\u1ea3n l\u00fd d\u1eef li\u1ec7u.<\/p>\n<h2>Kh\u00e1m ph\u00e1 kh\u00e1i ni\u1ec7m v\u1ec1 kh\u1edbp d\u1eef li\u1ec7u<\/h2>\n<p>So kh\u1edbp d\u1eef li\u1ec7u bao g\u1ed3m vi\u1ec7c so s\u00e1nh c\u00e1c b\u1ea3n ghi t\u1eeb ngu\u1ed3n d\u1eef li\u1ec7u n\u00e0y v\u1edbi ngu\u1ed3n d\u1eef li\u1ec7u kh\u00e1c \u0111\u1ec3 t\u00ecm c\u00e1c m\u1ee5c nh\u1eadp li\u00ean quan \u0111\u1ebfn c\u00f9ng m\u1ed9t th\u1ef1c th\u1ec3. Qu\u00e1 tr\u00ecnh so kh\u1edbp \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n d\u1ef1a tr\u00ean c\u00e1c thu\u1eadt to\u00e1n v\u00e0 quy t\u1eafc c\u1ee5 th\u1ec3. S\u1ef1 k\u1ebft h\u1ee3p c\u00f3 th\u1ec3 ch\u00ednh x\u00e1c (t\u00ecm ki\u1ebfm s\u1ef1 k\u1ebft h\u1ee3p ho\u00e0n h\u1ea3o) ho\u1eb7c m\u1edd nh\u1ea1t (c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn m\u1ed9t s\u1ed1 kh\u00e1c bi\u1ec7t).<\/p>\n<p>Th\u00f4ng th\u01b0\u1eddng, quy tr\u00ecnh bao g\u1ed3m c\u00e1c b\u01b0\u1edbc sau:<\/p>\n<ol>\n<li>Ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u: Li\u00ean quan \u0111\u1ebfn vi\u1ec7c l\u00e0m s\u1ea1ch, chuy\u1ec3n \u0111\u1ed5i v\u00e0 chu\u1ea9n h\u00f3a d\u1eef li\u1ec7u.<\/li>\n<li>L\u1eadp ch\u1ec9 m\u1ee5c: N\u00f3 gi\u00fap gi\u1ea3m s\u1ed1 l\u01b0\u1ee3ng so s\u00e1nh.<\/li>\n<li>So s\u00e1nh c\u1eb7p b\u1ea3n ghi: So s\u00e1nh theo c\u1eb7p \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n d\u1ef1a tr\u00ean m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c thu\u1ed9c t\u00ednh.<\/li>\n<li>Ph\u00e2n lo\u1ea1i: C\u00e1c c\u1eb7p \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i l\u00e0 tr\u00f9ng kh\u1edbp, kh\u00f4ng tr\u00f9ng kh\u1edbp ho\u1eb7c c\u00f3 kh\u1ea3 n\u0103ng tr\u00f9ng kh\u1edbp.<\/li>\n<li>\u0110\u00e1nh gi\u00e1: \u0110\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng c\u00e1c tr\u1eadn \u0111\u1ea5u.<\/li>\n<\/ol>\n<h2>C\u01a1 ch\u1ebf n\u1ed9i b\u1ed9 c\u1ee7a vi\u1ec7c kh\u1edbp d\u1eef li\u1ec7u<\/h2>\n<p>Vi\u1ec7c so kh\u1edbp d\u1eef li\u1ec7u ho\u1ea1t \u0111\u1ed9ng d\u1ef1a tr\u00ean ti\u1ec1n \u0111\u1ec1 c\u1ee7a s\u1ef1 so s\u00e1nh. Khi hai b\u1ed9 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c \u0111\u01b0a v\u00e0o h\u1ec7 th\u1ed1ng kh\u1edbp d\u1eef li\u1ec7u, h\u1ec7 th\u1ed1ng s\u1ebd s\u1eed d\u1ee5ng thu\u1eadt to\u00e1n \u0111\u1ec3 t\u00ecm ra &#039;kho\u1ea3ng c\u00e1ch&#039; ho\u1eb7c &#039;s\u1ef1 t\u01b0\u01a1ng \u0111\u1ed3ng&#039; gi\u1eefa c\u00e1c b\u1ed9 d\u1eef li\u1ec7u. M\u1ee9c \u0111\u1ed9 t\u01b0\u01a1ng \u0111\u1ed3ng ho\u1eb7c kho\u1ea3ng c\u00e1ch sau \u0111\u00f3 s\u1ebd quy\u1ebft \u0111\u1ecbnh xem c\u00e1c b\u1ea3n ghi c\u00f3 kh\u1edbp hay kh\u00f4ng. C\u00e1c thu\u1eadt to\u00e1n th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho qu\u00e1 tr\u00ecnh n\u00e0y bao g\u1ed3m thu\u1eadt to\u00e1n Jaro-Winkler, kho\u1ea3ng c\u00e1ch Levenshtein v\u00e0 Smith-Waterman.<\/p>\n<h2>C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a So kh\u1edbp d\u1eef li\u1ec7u<\/h2>\n<p>K\u1ebft h\u1ee3p d\u1eef li\u1ec7u th\u1ec3 hi\u1ec7n m\u1ed9t s\u1ed1 t\u00ednh n\u0103ng ch\u00ednh:<\/p>\n<ul>\n<li>Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng: C\u00f3 kh\u1ea3 n\u0103ng x\u1eed l\u00fd kh\u1ed1i l\u01b0\u1ee3ng d\u1eef li\u1ec7u l\u1edbn.<\/li>\n<li>T\u00ednh linh ho\u1ea1t: C\u00f3 th\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi d\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac v\u00e0 kh\u00f4ng c\u1ea5u tr\u00fac.<\/li>\n<li>\u0110\u1ed9 ch\u00ednh x\u00e1c: \u0110\u1ed9 ch\u00ednh x\u00e1c v\u00e0 t\u1ef7 l\u1ec7 thu h\u1ed3i cao.<\/li>\n<li>T\u1ed1c \u0111\u1ed9: Kh\u1ea3 n\u0103ng th\u1ef1c hi\u1ec7n c\u00e1c c\u00f4ng vi\u1ec7c ph\u00f9 h\u1ee3p m\u1ed9t c\u00e1ch nhanh ch\u00f3ng.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i \u0111\u1ed1i s\u00e1nh d\u1eef li\u1ec7u<\/h2>\n<p>Vi\u1ec7c so kh\u1edbp d\u1eef li\u1ec7u c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i theo hai c\u00e1ch ch\u00ednh:<\/p>\n<ol>\n<li><strong>B\u1eb1ng k\u1ef9 thu\u1eadt:<\/strong>\n<ul>\n<li><strong>K\u1ebft h\u1ee3p x\u00e1c \u0111\u1ecbnh:<\/strong> S\u1eed d\u1ee5ng k\u1ebft h\u1ee3p ch\u00ednh x\u00e1c tr\u00ean m\u1ed9t ho\u1eb7c nhi\u1ec1u s\u1ed1 nh\u1eadn d\u1ea1ng.<\/li>\n<li><strong>K\u1ebft h\u1ee3p x\u00e1c su\u1ea5t:<\/strong> S\u1eed d\u1ee5ng t\u00ednh \u0111i\u1ec3m th\u1ed1ng k\u00ea v\u1edbi m\u1ed9t s\u1ed1 m\u00e3 \u0111\u1ecbnh danh.<\/li>\n<li><strong>K\u1ebft h\u1ee3p lai:<\/strong> K\u1ebft h\u1ee3p c\u00e1c k\u1ef9 thu\u1eadt x\u00e1c \u0111\u1ecbnh v\u00e0 x\u00e1c su\u1ea5t.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Theo \u1ee9ng d\u1ee5ng:<\/strong>\n<ul>\n<li><strong>Ch\u1ed1ng tr\u00f9ng l\u1eb7p c\u01a1 s\u1edf d\u1eef li\u1ec7u:<\/strong> Lo\u1ea1i b\u1ecf c\u00e1c b\u1ea3n ghi tr\u00f9ng l\u1eb7p trong c\u01a1 s\u1edf d\u1eef li\u1ec7u.<\/li>\n<li><strong>Li\u00ean k\u1ebft c\u01a1 s\u1edf d\u1eef li\u1ec7u:<\/strong> Li\u00ean k\u1ebft c\u00e1c b\u1ea3n ghi tr\u00ean nhi\u1ec1u c\u01a1 s\u1edf d\u1eef li\u1ec7u.<\/li>\n<li><strong>Ph\u1ea3n \u1ee9ng t\u1ed5ng h\u1ee3p d\u1eef li\u1ec7u:<\/strong> K\u1ebft h\u1ee3p nhi\u1ec1u ngu\u1ed3n \u0111\u1ec3 t\u1ea1o ra th\u00f4ng tin to\u00e0n di\u1ec7n h\u01a1n.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h2>\u1ee8ng d\u1ee5ng, th\u00e1ch th\u1ee9c v\u00e0 gi\u1ea3i ph\u00e1p \u0111\u1ed1i s\u00e1nh d\u1eef li\u1ec7u<\/h2>\n<p>Vi\u1ec7c so kh\u1edbp d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong nhi\u1ec1u l\u0129nh v\u1ef1c, t\u1eeb ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe \u0111\u1ebfn t\u00e0i ch\u00ednh, th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed v\u00e0 ti\u1ebfp th\u1ecb. Tuy nhi\u00ean, n\u00f3 ph\u1ea3i \u0111\u1ed1i m\u1eb7t v\u1edbi nh\u1eefng th\u00e1ch th\u1ee9c nh\u01b0 x\u1eed l\u00fd kh\u1ed1i l\u01b0\u1ee3ng d\u1eef li\u1ec7u l\u1edbn, duy tr\u00ec quy\u1ec1n ri\u00eang t\u01b0 d\u1eef li\u1ec7u v\u00e0 \u0111\u1ea3m b\u1ea3o \u0111\u1ed9 ch\u00ednh x\u00e1c cao. C\u00e1c gi\u1ea3i ph\u00e1p bao g\u1ed3m s\u1eed d\u1ee5ng h\u1ec7 th\u1ed1ng c\u00f3 dung l\u01b0\u1ee3ng cao, tri\u1ec3n khai c\u00e1c k\u1ef9 thu\u1eadt b\u1ea3o v\u1ec7 quy\u1ec1n ri\u00eang t\u01b0 v\u00e0 li\u00ean t\u1ee5c \u0111i\u1ec1u ch\u1ec9nh c\u00e1c thu\u1eadt to\u00e1n ph\u00f9 h\u1ee3p \u0111\u1ec3 c\u1ea3i thi\u1ec7n k\u1ebft qu\u1ea3.<\/p>\n<h2>So s\u00e1nh v\u00e0 \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh<\/h2>\n<p>So v\u1edbi c\u00e1c kh\u00e1i ni\u1ec7m t\u01b0\u01a1ng t\u1ef1, ch\u1eb3ng h\u1ea1n nh\u01b0 t\u00edch h\u1ee3p d\u1eef li\u1ec7u v\u00e0 \u0111\u1ed3ng b\u1ed9 h\u00f3a d\u1eef li\u1ec7u, vi\u1ec7c so kh\u1edbp d\u1eef li\u1ec7u c\u1ee5 th\u1ec3 h\u01a1n v\u00e0 nh\u1eafm m\u1ee5c ti\u00eau x\u00e1c \u0111\u1ecbnh c\u0169ng nh\u01b0 h\u1ee3p nh\u1ea5t c\u00e1c b\u1ea3n ghi gi\u1ed1ng h\u1ec7t nhau. M\u1eb7c d\u00f9 t\u00edch h\u1ee3p d\u1eef li\u1ec7u li\u00ean quan \u0111\u1ebfn vi\u1ec7c k\u1ebft h\u1ee3p d\u1eef li\u1ec7u t\u1eeb c\u00e1c ngu\u1ed3n kh\u00e1c nhau v\u00e0 cung c\u1ea5p ch\u1ebf \u0111\u1ed9 xem th\u1ed1ng nh\u1ea5t, \u0111\u1ed3ng b\u1ed9 h\u00f3a d\u1eef li\u1ec7u \u0111\u1ea3m b\u1ea3o r\u1eb1ng d\u1eef li\u1ec7u \u1edf hai ho\u1eb7c nhi\u1ec1u v\u1ecb tr\u00ed \u0111\u01b0\u1ee3c c\u1eadp nh\u1eadt \u0111\u1ed3ng th\u1eddi \u0111\u1ec3 duy tr\u00ec t\u00ednh nh\u1ea5t qu\u00e1n.<\/p>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 t\u01b0\u01a1ng lai<\/h2>\n<p>T\u01b0\u01a1ng lai c\u1ee7a vi\u1ec7c kh\u1edbp d\u1eef li\u1ec7u n\u1eb1m \u1edf vi\u1ec7c \u1ee9ng d\u1ee5ng thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y v\u00e0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u1ec3 c\u1ea3i thi\u1ec7n \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 hi\u1ec7u qu\u1ea3. V\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a D\u1eef li\u1ec7u l\u1edbn, nhu c\u1ea7u v\u1ec1 c\u00e1c c\u00f4ng c\u1ee5 \u0111\u1ed1i s\u00e1nh d\u1eef li\u1ec7u t\u1ef1 \u0111\u1ed9ng, th\u00f4ng minh \u0111ang t\u0103ng l\u00ean.<\/p>\n<h2>M\u00e1y ch\u1ee7 proxy v\u00e0 kh\u1edbp d\u1eef li\u1ec7u<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 qu\u00e1 tr\u00ecnh kh\u1edbp d\u1eef li\u1ec7u b\u1eb1ng c\u00e1ch cung c\u1ea5p kh\u1ea3 n\u0103ng truy c\u1eadp d\u1eef li\u1ec7u nhanh h\u01a1n, duy tr\u00ec quy\u1ec1n ri\u00eang t\u01b0 c\u1ee7a d\u1eef li\u1ec7u v\u00e0 \u0111\u1ea3m b\u1ea3o t\u00ednh to\u00e0n v\u1eb9n c\u1ee7a d\u1eef li\u1ec7u. V\u00ed d\u1ee5: m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 truy xu\u1ea5t d\u1eef li\u1ec7u t\u1eeb c\u00e1c m\u00e1y ch\u1ee7 kh\u00e1c nhau \u0111\u1ec3 \u0111\u1ed1i s\u00e1nh, trong khi v\u1eabn duy tr\u00ec t\u00ednh \u1ea9n danh c\u1ee7a ng\u01b0\u1eddi d\u00f9ng ho\u1eb7c h\u1ec7 th\u1ed1ng \u0111\u01b0a ra y\u00eau c\u1ea7u.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/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\">Trung t\u00e2m Ki\u1ebfn th\u1ee9c IBM: So kh\u1edbp d\u1eef li\u1ec7u<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Record_linkage\" target=\"_new\" rel=\"noopener nofollow\">Wikipedia: Li\u00ean k\u1ebft b\u1ea3n ghi<\/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\">M\u00e1y ch\u1ee7 Microsoft SQL: D\u1ecbch v\u1ee5 ch\u1ea5t l\u01b0\u1ee3ng d\u1eef li\u1ec7u<\/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\/vn\/wp-json\/wp\/v2\/wiki\/476671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/476671\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468119"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=476671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}