{"id":476677,"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-normalization","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/data-normalization\/","title":{"rendered":"\u6570\u636e\u6807\u51c6\u5316"},"content":{"rendered":"<p>\u6570\u636e\u89c4\u8303\u5316\u662f\u6570\u636e\u5904\u7406\u548c\u6570\u636e\u5e93\u7ba1\u7406\u4e2d\u4f7f\u7528\u7684\u4e00\u9879\u5173\u952e\u6280\u672f\uff0c\u53ef\u4e3a\u6570\u636e\u96c6\u5e26\u6765\u4e00\u81f4\u6027\u548c\u6548\u7387\u3002\u901a\u8fc7\u6807\u51c6\u5316\u6570\u636e\u5c5e\u6027\u548c\u6d88\u9664\u5197\u4f59\uff0c\u89c4\u8303\u5316\u53ef\u786e\u4fdd\u6570\u636e\u7684\u7ed3\u6784\u5316\u65b9\u5f0f\u6709\u5229\u4e8e\u51c6\u786e\u5206\u6790\u3001\u66f4\u5feb\u68c0\u7d22\u548c\u4f18\u5316\u6570\u636e\u5e93\u6027\u80fd\u3002\u672c\u6587\u63a2\u8ba8\u4e86\u6570\u636e\u6807\u51c6\u5316\u7684\u5386\u53f2\u3001\u529f\u80fd\u3001\u7c7b\u578b\u548c\u5e94\u7528\uff0c\u4ee5\u53ca\u5b83\u4e0e OneProxy \u7b49\u4ee3\u7406\u670d\u52a1\u5668\u63d0\u4f9b\u5546\u7684\u76f8\u5173\u6027\u3002<\/p>\n<h2>\u6570\u636e\u6807\u51c6\u5316\u7684\u8d77\u6e90\u548c\u9996\u6b21\u63d0\u53ca\u7684\u5386\u53f2\u3002<\/h2>\n<p>\u6570\u636e\u89c4\u8303\u5316\u7684\u6982\u5ff5\u53ef\u4ee5\u8ffd\u6eaf\u5230 20 \u4e16\u7eaa 70 \u5e74\u4ee3\u521d\uff0c\u5f53\u65f6 IBM \u7814\u7a76\u5458 EF Codd \u535a\u58eb\u63d0\u51fa\u4e86\u6570\u636e\u5e93\u7ba1\u7406\u7684\u5173\u7cfb\u6a21\u578b\u3002\u5728 1970 \u5e74\u53d1\u8868\u7684\u5f00\u521b\u6027\u8bba\u6587\u201c\u5927\u578b\u5171\u4eab\u6570\u636e\u5e93\u7684\u6570\u636e\u5173\u7cfb\u6a21\u578b\u201d\u4e2d\uff0cCodd 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(1NF)\uff1a\u6d88\u9664\u91cd\u590d\u7ec4\u5e76\u786e\u4fdd\u6bcf\u5217\u5185\u503c\u7684\u539f\u5b50\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u7b2c\u4e8c\u8303\u5f0f (2NF)\uff1a\u901a\u8fc7\u6d88\u9664\u90e8\u5206\u4f9d\u8d56\u5173\u7cfb\u5efa\u7acb\u5728 1NF \u7684\u57fa\u7840\u4e0a\uff0c\u786e\u4fdd\u6240\u6709\u975e\u952e\u5c5e\u6027\u5b8c\u5168\u4f9d\u8d56\u4e8e\u4e3b\u952e\u3002<\/p>\n<\/li>\n<li>\n<p>\u7b2c\u4e09\u8303\u5f0f (3NF)\uff1a\u5220\u9664\u4f20\u9012\u4f9d\u8d56\u5173\u7cfb\uff0c\u786e\u4fdd\u975e\u952e\u5c5e\u6027\u4ec5\u4f9d\u8d56\u4e8e\u4e3b\u952e\u3002<\/p>\n<\/li>\n<li>\n<p>Boyce-Codd \u8303\u5f0f (BCNF)\uff1a\u4e00\u79cd\u66f4\u9ad8\u7ea7\u7684\u89c4\u8303\u5316\u5f62\u5f0f\uff0c\u53ef\u6d88\u9664\u6240\u6709\u91cd\u8981\u7684\u51fd\u6570\u4f9d\u8d56\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u7b2c\u56db\u8303\u5f0f\uff084NF\uff09\u548c\u7b2c\u4e94\u8303\u5f0f\uff085NF\uff09\uff1a\u5206\u522b\u901a\u8fc7\u89e3\u51b3\u591a\u503c\u4f9d\u8d56\u548c\u8fde\u63a5\u4f9d\u8d56\u6765\u8fdb\u4e00\u6b65\u51cf\u5c11\u6570\u636e\u5197\u4f59\u3002<\/p>\n<\/li>\n<\/ul>\n<h2>\u6570\u636e\u6807\u51c6\u5316\u7684\u5185\u90e8\u7ed3\u6784\u3002\u6570\u636e\u6807\u51c6\u5316\u5982\u4f55\u5de5\u4f5c\u3002<\/h2>\n<p>\u6570\u636e\u89c4\u8303\u5316\u901a\u5e38\u6d89\u53ca\u9075\u5faa\u8303\u5f0f\u89c4\u5219\u7684\u9010\u6b65\u8fc7\u7a0b\u3002\u5173\u952e\u6b65\u9aa4\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p>\u8bc6\u522b\u4e3b\u952e\uff1a\u786e\u5b9a\u6570\u636e\u96c6\u7684\u4e3b\u952e\uff0c\u5b83\u552f\u4e00\u6807\u8bc6\u8868\u4e2d\u7684\u6bcf\u6761\u8bb0\u5f55\u3002<\/p>\n<\/li>\n<li>\n<p>\u5206\u6790\u4f9d\u8d56\u5173\u7cfb\uff1a\u8bc6\u522b\u5c5e\u6027\u4e4b\u95f4\u7684\u529f\u80fd\u4f9d\u8d56\u5173\u7cfb\u4ee5\u4e86\u89e3\u5b83\u4eec\u7684\u5173\u7cfb\u3002<\/p>\n<\/li>\n<li>\n<p>\u5e94\u7528\u8303\u5f0f\uff1a\u9010\u6b65\u5e94\u7528 1NF\u30012NF\u30013NF\u3001BCNF\u30014NF \u548c 5NF\uff0c\u6d88\u9664\u5197\u4f59\u5e76\u63d0\u9ad8\u6570\u636e\u5b8c\u6574\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u521b\u5efa\u5355\u72ec\u7684\u8868\uff1a\u5c06\u6570\u636e\u62c6\u5206\u4e3a\u5355\u72ec\u7684\u8868\uff0c\u4ee5\u5220\u9664\u91cd\u590d\u7684\u7ec4\u5e76\u4fdd\u6301\u5b9e\u4f53\u4e4b\u95f4\u7684\u6e05\u6670\u5173\u7cfb\u3002<\/p>\n<\/li>\n<li>\n<p>\u5efa\u7acb\u5173\u7cfb\uff1a\u4f7f\u7528\u5916\u952e\u5efa\u7acb\u8868\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u786e\u4fdd\u6570\u636e\u4e00\u81f4\u6027\u548c\u5f15\u7528\u5b8c\u6574\u6027\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u6570\u636e\u6807\u51c6\u5316\u7684\u5173\u952e\u7279\u5f81\u5206\u6790\u3002<\/h2>\n<p>\u6570\u636e\u6807\u51c6\u5316\u7684\u4e3b\u8981\u7279\u5f81\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p>\u7b80\u5316\u7684\u6570\u636e\u5e93\u7ed3\u6784\uff1a\u6570\u636e\u89c4\u8303\u5316\u901a\u8fc7\u5c06\u6570\u636e\u5e93\u7ed3\u6784\u5206\u89e3\u4e3a\u66f4\u5c0f\u7684\u3001\u53ef\u7ba1\u7406\u7684\u8868\u6765\u7b80\u5316\u6570\u636e\u5e93\u7ed3\u6784\u3002<\/p>\n<\/li>\n<li>\n<p>\u6570\u636e\u5b8c\u6574\u6027\uff1a\u89c4\u8303\u5316\u53ef\u786e\u4fdd\u6574\u4e2a\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u4fdd\u6301\u51c6\u786e\u548c\u4e00\u81f4\u3002<\/p>\n<\/li>\n<li>\n<p>\u9ad8\u6548\u7684\u6570\u636e\u68c0\u7d22\uff1a\u89c4\u8303\u5316\u6570\u636e\u5e93\u5141\u8bb8\u66f4\u5feb\u7684\u6570\u636e\u68c0\u7d22\uff0c\u56e0\u4e3a\u6570\u636e\u4ee5\u7ed3\u6784\u5316\u65b9\u5f0f\u5b58\u50a8\uff0c\u6ca1\u6709\u5197\u4f59\u3002<\/p>\n<\/li>\n<li>\n<p>\u6700\u5c0f\u5316\u6570\u636e\u5197\u4f59\uff1a\u51cf\u5c11\u6570\u636e\u5197\u4f59\u53ef\u4ee5\u4f18\u5316\u5b58\u50a8\u7a7a\u95f4\u5e76\u63d0\u9ad8\u6570\u636e\u5e93\u7684\u6574\u4f53\u6027\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p>\u6570\u636e\u9a71\u52a8\u7684\u51b3\u7b56\uff1a\u4e00\u81f4\u4e14\u53ef\u9760\u7684\u6570\u636e\u53ef\u4ee5\u5b9e\u73b0\u66f4\u597d\u7684\u5206\u6790\u548c\u660e\u667a\u7684\u51b3\u7b56\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u6570\u636e\u6807\u51c6\u5316\u7684\u7c7b\u578b<\/h2>\n<p>\u6570\u636e\u6807\u51c6\u5316\u901a\u5e38\u5206\u4e3a\u4e0d\u540c\u7684\u8303\u5f0f\uff0c\u6bcf\u79cd\u8303\u5f0f\u90fd\u5efa\u7acb\u5728\u524d\u4e00\u79cd\u8303\u5f0f\u7684\u57fa\u7840\u4e0a\uff0c\u4ee5\u5b9e\u73b0\u66f4\u9ad8\u7ea7\u522b\u7684\u6570\u636e\u7ec4\u7ec7\u548c\u5b8c\u6574\u6027\u3002\u4ee5\u4e0b\u662f\u4e3b\u8981\u8303\u5f0f\u7684\u6982\u8ff0\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u8303\u5f0f<\/th>\n<th>\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1NF<\/td>\n<td>\u786e\u4fdd\u503c\u7684\u539f\u5b50\u6027\u5e76\u6d88\u9664\u91cd\u590d\u7ec4\u3002<\/td>\n<\/tr>\n<tr>\n<td>2NF<\/td>\n<td>\u901a\u8fc7\u786e\u4fdd\u975e\u952e\u5c5e\u6027\u4f9d\u8d56\u4e8e\u6574\u4e2a\u4e3b\u952e\u6765\u6d88\u9664\u90e8\u5206\u4f9d\u8d56\u3002<\/td>\n<\/tr>\n<tr>\n<td>3NF<\/td>\n<td>\u901a\u8fc7\u786e\u4fdd\u975e\u952e\u5c5e\u6027\u4ec5\u4f9d\u8d56\u4e8e\u4e3b\u952e\u6765\u6d88\u9664\u4f20\u9012\u4f9d\u8d56\u3002<\/td>\n<\/tr>\n<tr>\n<td>BCNF<\/td>\n<td>\u5220\u9664\u6240\u6709\u91cd\u8981\u7684\u51fd\u6570\u4f9d\u8d56\u6027\uff0c\u786e\u4fdd\u6bcf\u4e2a\u884c\u5217\u5f0f\u90fd\u662f\u5019\u9009\u952e\u3002<\/td>\n<\/tr>\n<tr>\n<td>4NF<\/td>\n<td>\u89e3\u51b3\u591a\u503c\u4f9d\u8d56\u6027\uff0c\u8fdb\u4e00\u6b65\u51cf\u5c11\u6570\u636e\u5197\u4f59\u3002<\/td>\n<\/tr>\n<tr>\n<td>5NF<\/td>\n<td>\u5904\u7406\u8fde\u63a5\u4f9d\u8d56\u5173\u7cfb\u4ee5\u5b9e\u73b0\u6700\u9ad8\u7ea7\u522b\u7684\u89c4\u8303\u5316\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u4f7f\u7528\u65b9\u6cd5\u6570\u636e\u89c4\u8303\u5316\u3001\u95ee\u9898\u4ee5\u53ca\u4e0e\u4f7f\u7528\u76f8\u5173\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/h2>\n<p>\u6570\u636e\u6807\u51c6\u5316\u5728\u5404\u4e2a\u884c\u4e1a\u548c\u9886\u57df\u90fd\u6709\u5e94\u7528\uff0c\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u5173\u7cfb\u6570\u636e\u5e93\uff1a<\/strong> \u89c4\u8303\u5316\u662f\u8bbe\u8ba1\u5173\u7cfb\u6570\u636e\u5e93\u4ee5\u5b9e\u73b0\u9ad8\u6548\u6570\u636e\u5b58\u50a8\u548c\u68c0\u7d22\u7684\u57fa\u7840\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5546\u4e1a\u667a\u80fd\u548c\u5206\u6790\uff1a<\/strong> \u6807\u51c6\u5316\u6570\u636e\u53ef\u786e\u4fdd\u51c6\u786e\u7684\u5206\u6790\uff0c\u4ece\u800c\u83b7\u5f97\u66f4\u597d\u7684\u4e1a\u52a1\u6d1e\u5bdf\u548c\u6218\u7565\u51b3\u7b56\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7f51\u7edc\u5e94\u7528\u7a0b\u5e8f\uff1a<\/strong> \u89c4\u8303\u5316\u6709\u52a9\u4e8e\u4f18\u5316 Web \u5e94\u7528\u7a0b\u5e8f\u6570\u636e\u5e93\uff0c\u786e\u4fdd\u66f4\u5feb\u7684\u52a0\u8f7d\u65f6\u95f4\u5e76\u6539\u5584\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u4ed3\u5e93\uff1a<\/strong> \u6807\u51c6\u5316\u6570\u636e\u6709\u5229\u4e8e\u591a\u4e2a\u6765\u6e90\u7684\u6570\u636e\u96c6\u6210\uff0c\u4f7f\u6570\u636e\u4ed3\u5e93\u66f4\u52a0\u6709\u6548\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u5c3d\u7ba1\u6709\u597d\u5904\uff0c\u6570\u636e\u6807\u51c6\u5316\u4e5f\u53ef\u80fd\u5e26\u6765\u6311\u6218\uff1a<\/p>\n<ul>\n<li>\n<p><strong>\u589e\u52a0\u590d\u6742\u6027\uff1a<\/strong> \u9ad8\u5ea6\u89c4\u8303\u5316\u7684\u6570\u636e\u5e93\u53ef\u80fd\u66f4\u52a0\u590d\u6742\uff0c\u4f7f\u5f97\u8bbe\u8ba1\u548c\u7ef4\u62a4\u8fc7\u7a0b\u66f4\u5177\u6311\u6218\u6027\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u4fee\u6539\u5f02\u5e38\uff1a<\/strong> \u9891\u7e41\u7684\u6570\u636e\u66f4\u65b0\u4f1a\u5bfc\u81f4\u63d2\u5165\u3001\u66f4\u65b0\u3001\u5220\u9664\u5f02\u5e38\uff0c\u5f71\u54cd\u6570\u636e\u5e93\u6027\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6027\u80fd\u6743\u8861\uff1a<\/strong> \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u9ad8\u5ea6\u89c4\u8303\u5316\u7684\u6570\u636e\u5e93\u53ef\u80fd\u4f1a\u5bfc\u81f4\u67e5\u8be2\u6027\u80fd\u53d8\u6162\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u6570\u636e\u5e93\u7ba1\u7406\u5458\u53ef\u4ee5\u8003\u8651\u975e\u89c4\u8303\u5316\uff0c\u8fd9\u6d89\u53ca\u6709\u9009\u62e9\u5730\u6062\u590d\u4e00\u4e9b\u89c4\u8303\u5316\u6b65\u9aa4\u4ee5\u4f18\u5316\u7279\u5b9a\u67e5\u8be2\u5e76\u63d0\u9ad8\u6027\u80fd\u3002<\/p>\n<h2>\u4ee5\u8868\u683c\u548c\u5217\u8868\u7684\u5f62\u5f0f\u5217\u51fa\u4e3b\u8981\u7279\u5f81\u4ee5\u53ca\u4e0e\u7c7b\u4f3c\u672f\u8bed\u7684\u5176\u4ed6\u6bd4\u8f83\u3002<\/h2>\n<p>|\u6570\u636e\u89c4\u8303\u5316\u4e0e\u975e\u89c4\u8303\u5316 |<br \/>\n|\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2013 | \u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014|<br \/>\n|\u6570\u636e\u6807\u51c6\u5316|\u975e\u89c4\u8303\u5316 |<br \/>\n|\u7ec4\u7ec7\u6570\u636e\u4ee5\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u5197\u4f59\u5e76\u63d0\u9ad8\u6570\u636e\u5b8c\u6574\u6027\u3002 |\u7ec4\u5408\u6570\u636e\u4ee5\u63d0\u9ad8\u67e5\u8be2\u6027\u80fd\u3002 |<br \/>\n|\u5b9e\u73b0\u66f4\u9ad8\u7684\u6570\u636e\u4e00\u81f4\u6027\u3002 |\u727a\u7272\u4e00\u4e9b\u4e00\u81f4\u6027\u6765\u63d0\u9ad8\u6027\u80fd\u3002 |<br \/>\n|\u4e00\u822c\u7528\u4e8eOLTP\u6570\u636e\u5e93\u3002 |\u5e38\u7528\u4e8eOLAP\u6570\u636e\u5e93\u548c\u6570\u636e\u4ed3\u5e93\u3002 |<br \/>\n|\u6d89\u53ca\u5c06\u6570\u636e\u5206\u89e3\u4e3a\u591a\u4e2a\u76f8\u5173\u8868\u3002 |\u6d89\u53ca\u5c06\u591a\u4e2a\u8868\u4e2d\u7684\u6570\u636e\u5408\u5e76\u5230\u5355\u4e2a\u8868\u4e2d\u3002 |<\/p>\n<h2>\u4e0e\u6570\u636e\u6807\u51c6\u5316\u76f8\u5173\u7684\u672a\u6765\u89c2\u70b9\u548c\u6280\u672f\u3002<\/h2>\n<p>\u6570\u636e\u6807\u51c6\u5316\u7684\u672a\u6765\u5728\u4e8e\u5f00\u53d1\u5148\u8fdb\u7684\u6807\u51c6\u5316\u6280\u672f\u548c\u5de5\u5177\uff0c\u53ef\u4ee5\u66f4\u6709\u6548\u5730\u5904\u7406\u5927\u6570\u636e\u548c\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\u3002\u968f\u7740\u4e91\u8ba1\u7b97\u548c\u5206\u5e03\u5f0f\u6570\u636e\u5e93\u7684\u53d1\u5c55\uff0c\u6570\u636e\u89c4\u8303\u5316\u5c06\u7ee7\u7eed\u5728\u786e\u4fdd\u5404\u79cd\u5e94\u7528\u548c\u884c\u4e1a\u7684\u6570\u636e\u51c6\u786e\u6027\u548c\u4e00\u81f4\u6027\u65b9\u9762\u53d1\u6325\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\u3002<\/p>\n<p>\u672a\u6765\u7684\u6280\u672f\u53ef\u80fd\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u81ea\u52a8\u6807\u51c6\u5316\uff1a<\/strong> \u53ef\u4ee5\u5f00\u53d1\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u7b97\u6cd5\u6765\u534f\u52a9\u6807\u51c6\u5316\u8fc7\u7a0b\uff0c\u51cf\u5c11\u6240\u9700\u7684\u624b\u52a8\u5de5\u4f5c\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u975e\u7ed3\u6784\u5316\u6570\u636e\u7684\u6807\u51c6\u5316\uff1a<\/strong> \u5904\u7406\u6587\u672c\u548c\u591a\u5a92\u4f53\u7b49\u975e\u7ed3\u6784\u5316\u6570\u636e\u7684\u8fdb\u6b65\u5c06\u9700\u8981\u65b0\u7684\u6807\u51c6\u5316\u6280\u672f\u3002<\/p>\n<\/li>\n<li>\n<p><strong>NoSQL \u6570\u636e\u5e93\u4e2d\u7684\u89c4\u8303\u5316\uff1a<\/strong> \u968f\u7740 NoSQL \u6570\u636e\u5e93\u7684\u666e\u53ca\uff0c\u9002\u5e94\u5176\u72ec\u7279\u7279\u5f81\u7684\u89c4\u8303\u5316\u6280\u672f\u5c06\u4f1a\u51fa\u73b0\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u5982\u4f55\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\u6216\u5982\u4f55\u5c06\u4ee3\u7406\u670d\u52a1\u5668\u4e0e\u6570\u636e\u89c4\u8303\u5316\u76f8\u5173\u8054\u3002<\/h2>\n<p>\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u4e0e\u6570\u636e\u6807\u51c6\u5316\u76f8\u5173\u8054\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u7f13\u5b58\u548c\u8d1f\u8f7d\u5e73\u8861\uff1a<\/strong> \u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u7f13\u5b58\u89c4\u8303\u5316\u7684\u6570\u636e\uff0c\u51cf\u5c11\u4e3b\u6570\u636e\u5e93\u7684\u8d1f\u8f7d\u5e76\u63d0\u9ad8\u6570\u636e\u68c0\u7d22\u901f\u5ea6\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u5b89\u5168\u548c\u9690\u79c1\uff1a<\/strong> \u4ee3\u7406\u53ef\u4ee5\u5145\u5f53\u7528\u6237\u548c\u6570\u636e\u5e93\u4e4b\u95f4\u7684\u4e2d\u4ecb\uff0c\u786e\u4fdd\u6570\u636e\u8bbf\u95ee\u5b89\u5168\u5e76\u4fdd\u62a4\u654f\u611f\u4fe1\u606f\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6d41\u91cf\u8fc7\u6ee4\u548c\u538b\u7f29\uff1a<\/strong> \u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u901a\u8fc7\u8fc7\u6ee4\u4e0d\u5fc5\u8981\u7684\u8bf7\u6c42\u548c\u538b\u7f29\u6570\u636e\u4ee5\u63d0\u9ad8\u4f20\u8f93\u6548\u7387\u6765\u4f18\u5316\u6570\u636e\u6d41\u91cf\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5168\u7403\u6570\u636e\u5206\u5e03\uff1a<\/strong> \u4ee3\u7406\u53ef\u4ee5\u5c06\u6807\u51c6\u5316\u6570\u636e\u5206\u5e03\u5728\u5730\u7406\u4e0a\u5206\u6563\u7684\u4f4d\u7f6e\uff0c\u4ece\u800c\u589e\u5f3a\u6570\u636e\u53ef\u7528\u6027\u548c\u5197\u4f59\u6027\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u76f8\u5173\u94fe\u63a5<\/h2>\n<p>\u6709\u5173\u6570\u636e\u6807\u51c6\u5316\u7684\u66f4\u591a\u4fe1\u606f\uff0c\u60a8\u53ef\u4ee5\u53c2\u8003\u4ee5\u4e0b\u8d44\u6e90\uff1a<\/p>\n<ol>\n<li><a href=\"https:\/\/www.amazon.com\/Introduction-Database-Systems-8th\/dp\/0321197844\" target=\"_new\" rel=\"noopener nofollow\">\u6570\u636e\u5e93\u7cfb\u7edf\u7b80\u4ecb\uff0cCJ Date<\/a><\/li>\n<li><a href=\"https:\/\/www.amazon.com\/Database-Systems-Complete-Book-2nd\/dp\/0131873253\" target=\"_new\" rel=\"noopener nofollow\">\u6570\u636e\u5e93\u7cfb\u7edf\uff1a\u5168\u4e66\uff0cH. Garcia-Molina\u3001JD Ullman\u3001J. Widom<\/a><\/li>\n<li><a href=\"https:\/\/www.geeksforgeeks.org\/normalization-in-dbms\/\" target=\"_new\" rel=\"noopener nofollow\">\u6570\u636e\u5e93\u7ba1\u7406\u6807\u51c6\u5316\uff0cGeeksforGeeks<\/a><\/li>\n<\/ol>\n<p>\u603b\u4e4b\uff0c\u6570\u636e\u89c4\u8303\u5316\u662f\u786e\u4fdd\u6570\u636e\u5e93\u5185\u6709\u6548\u6570\u636e\u5904\u7406\u3001\u4e00\u81f4\u6027\u548c\u5b8c\u6574\u6027\u7684\u91cd\u8981\u8fc7\u7a0b\u3002\u968f\u7740\u6280\u672f\u7684\u53d1\u5c55\uff0c\u89c4\u8303\u5316\u5b9e\u8df5\u5c06\u7ee7\u7eed\u9002\u5e94\u4e0d\u65ad\u53d8\u5316\u7684\u6570\u636e\u7ba1\u7406\u683c\u5c40\uff0c\u4e3a\u5065\u58ee\u4e14\u53ef\u6269\u5c55\u7684\u6570\u636e\u5e93\u63d0\u4f9b\u575a\u5b9e\u7684\u57fa\u7840\u3002\u5bf9\u4e8e\u50cf OneProxy \u8fd9\u6837\u7684\u4ee3\u7406\u670d\u52a1\u5668\u63d0\u4f9b\u5546\u6765\u8bf4\uff0c\u4e86\u89e3\u548c\u5229\u7528\u6570\u636e\u89c4\u8303\u5316\u53ef\u4ee5\u63d0\u9ad8\u5ba2\u6237\u7684\u6027\u80fd\u3001\u6570\u636e\u5b89\u5168\u6027\u548c\u7528\u6237\u4f53\u9a8c\u3002<\/p>","protected":false},"featured_media":468127,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476677","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Data Normalization: An Essential Technique for Efficient Data Handling<\/mark>","faq_items":[{"question":"<strong>What is data normalization, and why is it essential for data handling?<\/strong>","answer":"<p>Data normalization is a vital technique used in data processing and database management to organize data efficiently. By standardizing data attributes and removing redundancies, normalization ensures consistent, accurate, and reliable data. It minimizes data redundancy, improves data integrity, and enhances overall database performance, making it essential for effective data handling.<\/p>"},{"question":"<strong>Who introduced the concept of data normalization, and when was it first mentioned?<\/strong>","answer":"<p>The concept of data normalization was introduced by Dr. E.F. Codd, an IBM researcher, in 1970. He proposed the relational model for database management and published his influential paper, \"A Relational Model of Data for Large Shared Data Banks,\" which laid the groundwork for data normalization.<\/p>"},{"question":"<strong>What are the key steps involved in the process of data normalization?<\/strong>","answer":"<p>The process of data normalization involves several key steps:<\/p><ol><li>Identifying the primary key(s) of the dataset.<\/li><li>Analyzing dependencies to understand relationships between attributes.<\/li><li>Applying various normal forms (1NF, 2NF, 3NF, BCNF, 4NF, 5NF) to eliminate redundancy and ensure data integrity.<\/li><li>Creating separate tables to organize data and establish relationships using foreign keys.<\/li><\/ol>"},{"question":"<strong>What are the main benefits of data normalization?<\/strong>","answer":"<p>The main benefits of data normalization include:<\/p><ul><li>Simplified database structure for easier management.<\/li><li>Improved data integrity, consistency, and accuracy.<\/li><li>Efficient data retrieval and faster database performance.<\/li><li>Reduced data redundancy, optimizing storage space.<\/li><li>Data-driven decision-making with reliable and consistent information.<\/li><\/ul>"},{"question":"<strong>Are there any challenges associated with data normalization? If so, how can they be addressed?<\/strong>","answer":"<p>Yes, data normalization can pose challenges, such as increased database complexity, data modification anomalies, and potential performance trade-offs. To address these issues, database administrators can consider denormalization, selectively reverting some normalization steps to optimize specific queries and improve performance.<\/p>"},{"question":"<strong>What types of data normalization exist, and how do they differ from each other?<\/strong>","answer":"<p>Data normalization consists of various normal forms:<\/p><ol><li>First Normal Form (1NF) eliminates repeating groups and ensures atomicity of values.<\/li><li>Second Normal Form (2NF) eliminates partial dependencies and depends on the entire primary key.<\/li><li>Third Normal Form (3NF) removes transitive dependencies, ensuring non-key attributes depend only on the primary key.<\/li><li>Boyce-Codd Normal Form (BCNF) removes all non-trivial functional dependencies.<\/li><li>Fourth Normal Form (4NF) addresses multi-valued dependencies.<\/li><li>Fifth Normal Form (5NF) deals with join dependencies to achieve the highest level of normalization.<\/li><\/ol>"},{"question":"<strong>How can proxy servers benefit from data normalization?<\/strong>","answer":"<p>Proxy servers can benefit from data normalization in various ways, such as caching normalized data to improve data retrieval speeds, ensuring secure data access and privacy for users, filtering and compressing data to optimize traffic, and distributing normalized data across geographically dispersed locations for enhanced availability and redundancy.<\/p>"},{"question":"<strong>What does the future hold for data normalization?<\/strong>","answer":"<p>In the future, data normalization is expected to evolve with advancements in technology. Automated normalization with AI-driven algorithms, normalization for unstructured data, and adaptation to NoSQL databases are potential developments to handle big data and complex structures more efficiently.<\/p>"},{"question":"<strong>Where can I find additional resources to learn more about data normalization?<\/strong>","answer":"<p>You can find more information about data normalization in the following resources:<\/p><ol><li>\"Introduction to Database Systems\" by C.J. Date<\/li><li>\"Database Systems: The Complete Book\" by H. Garcia-Molina, J.D. Ullman, J. Widom<\/li><li><a href=\"https:\/\/www.geeksforgeeks.org\/normalization-in-dbms\/\" target=\"_new\">Normalization in Database Management - GeeksforGeeks<\/a><\/li><\/ol>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/476677","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/476677\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media\/468127"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=476677"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}