{"id":70137,"date":"2023-05-15T15:54:06","date_gmt":"2023-05-15T14:54:06","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=blog&p=70137"},"modified":"2024-09-20T17:45:56","modified_gmt":"2024-09-20T16:45:56","slug":"accelerating-data-literacy-using-machine-learning-data-catalogs","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/zh\/blog\/accelerating-data-literacy-using-machine-learning-data-catalogs\/","title":{"rendered":"\u5229\u7528\u673a\u5668\u5b66\u4e60\u52a0\u901f Data \u626b\u76f2 Data \u76ee\u5f55"},"content":{"rendered":"

\u4f5c\u8005<\/h2><\/div>\"Image\"

John Ly<\/h3><\/div>

\u7f8e\u56fd Artefact \u6218\u7565\u4e0e Data \u7ba1\u7406\u9ad8\u7ea7\u987e\u95ee<\/p>\n<\/div><\/div><\/div><\/div><\/div>

\u5728\u63a2\u7d22\u673a\u5668\u5b66\u4e60\uff08ML\uff09data \u76ee\u5f55\u4e4b\u524d\uff0c\u8ba9\u6211\u4eec\u5148\u6765\u5b9a\u4e49\u4e00\u4e0b\u4ec0\u4e48\u662f\u57fa\u672c\u7684 data \u76ee\u5f55\uff1a\u4e00\u4e2a\u5b58\u50a8\u5143 data \u7684\u4e2d\u592e\u5b58\u50a8\u5e93\uff0c\u4f8b\u5982 data \u6e90\u3001data \u683c\u5f0f\u3001\u5173\u7cfb data \u5e93\u548c data \u4e16\u7cfb\uff0c\u5e76\u786e\u5b9a\u5176\u5404\u81ea\u7684\u6240\u6709\u8005\u3002data \u76ee\u5f55\u88ab\u666e\u904d\u8ba4\u4e3a\u662f data-driven \u7ec4\u7ec7\u7684\u57fa\u7840\uff0c\u5b83\u53ef\u4ee5\u4fc3\u8fdb\u4f01\u4e1a\u8303\u56f4\u5185\u7684 data \u626b\u76f2\uff0c\u6210\u4e3a\u5728\u5206\u6790\u4e2d\u5982\u4f55\u89e3\u91ca\u548c\u4f7f\u7528 data \u7684\u552f\u4e00\u771f\u5b9e\u6765\u6e90\uff0c\u5e76\u901a\u8fc7 data \u8d44\u4ea7\u7684\u6240\u6709\u6743\u5c06 data \u4f5c\u4e3a\u4e00\u79cd\u4ea7\u54c1\u52a0\u4ee5\u63a8\u5e7f\u3002.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

\u867d\u7136 data \u76ee\u5f55\u4ece 20 \u4e16\u7eaa 50 \u5e74\u4ee3\u5c31\u5f00\u59cb\u51fa\u73b0\u4e86<\/a>, \u4f46\u662f\uff0c\u76f4\u5230 2012 \u5e74\uff0c\u4f01\u4e1a\u8f6f\u4ef6\u516c\u53f8 Alation \u624d\u63a8\u51fa\u9996\u4e2a\u7531 ML \u9a71\u52a8\u7684 data \u76ee\u5f55\uff0c\u5373 \u201c\u81ea\u52a8 Data \u76ee\u5f55\u201d\u3002\u8fd9\u4e9b\u81ea\u52a8\u5316\u76ee\u5f55\u5b9e\u73b0\u4e86\u4eca\u5929\u770b\u6765\u663e\u800c\u6613\u89c1\u7684\u529f\u80fd\uff0c\u5982\u81ea\u52a8\u5143 data \u6355\u83b7\uff0c\u4f46\u5b83\u4eec\u4e3a Collibra \u548c Atlan \u7b49\u5176\u4ed6\u4f9b\u5e94\u5546\u7684\u589e\u538b ML data \u76ee\u5f55\u94fa\u5e73\u4e86\u9053\u8def\u3002.<\/p>\n<\/div>

ML Data \u76ee\u5f55\u5e94\u5177\u5907\u7684\u516d\u5927\u7279\u70b9<\/h2><\/div>

1. data \u81ea\u52a8\u6807\u8bb0<\/strong>:\u201c\u5bb6\u5ead\u5730\u5740 \u201d\u4f1a\u88ab\u81ea\u52a8\u6807\u8bb0\u4e3a \u201cPII\u201d\uff0c\u5e76\u88ab\u5206\u7c7b\u5230\u5b89\u5168\u8bbf\u95ee\u7ba1\u7406\u6c60\u548c \u201c\u5ba2\u6237 \u201ddata \u57df\u4e2d\u4f9b\u4f7f\u7528\u3002.<\/p>\n

2. \u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u8bed\u4e49\u641c\u7d22<\/strong>:\u901a\u8fc7\u53c2\u8003\u641c\u7d22\u5386\u53f2\uff0cML data \u76ee\u5f55\u641c\u7d22\u53ef\u9884\u6d4b\u6700\u76f8\u5173\u7684 data \u8d44\u4ea7\uff0c\u52a0\u5feb\u7528\u6237\u7684\u641c\u7d22\u901f\u5ea6\u3002.<\/p>\n

3. \u81ea\u52a8\u7ed8\u5236 data \u7cfb\u8c31\u56fe<\/strong>:\u81ea\u52a8\u6355\u6349\u4ece\u8bb0\u5f55\u7cfb\u7edf (SOR) \u5230\u7528\u4e8e\u4e1a\u52a1\u6d88\u8d39\u7684\u4eea\u8868\u677f\u7684\u8868\u683c\u8f6c\u6362\u3002.<\/p>\n

4. Data \u8d28\u91cf\u6539\u8fdb<\/strong>:ML \u76ee\u5f55\u786e\u5b9a\u4e86\u4e0d\u4e00\u81f4\u7684\u683c\u5f0f\uff08\u5373 \u201c2023 \u5e74 5 \u6708 \u201d\u800c\u4e0d\u662f \u201920230501\u201c\uff09\uff0c\u5e76\u63d0\u51fa\u4e86\u6539\u8fdb data \u7684\u5efa\u8bae\u3002.<\/p>\n

5. \u81ea\u52a8 data \u5206\u6790<\/strong>:\u901a\u8fc7\u5206\u6790\u6d41\u52a8\u6027 data \u5728\u6574\u4e2a\u6280\u672f\u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u6574\u5408\u60c5\u51b5\uff0c\u91d1\u878d\u673a\u6784\u7684 data \u56e2\u961f\u53ef\u8b66\u60d5\u6f5c\u5728\u7684 data \u8d28\u91cf\u95ee\u9898\uff0c\u4ece\u800c\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u51c6\u786e\u5c55\u793a\u5176\u98ce\u9669\u655e\u53e3\u3002.<\/p>\n

6. Data \u53d1\u73b0<\/strong>:\u5f53\u5305\u542b\u6d88\u8d39\u8005\u884c\u4e3a\u6307\u6807\u7684 database \u96c6\u6210\u5230\u76ee\u5f55\u4e2d\u65f6\uff0cML \u529f\u80fd\u4f1a\u81ea\u52a8\u5bf9 data \u8fdb\u884c\u5206\u7c7b\uff0c\u5e76\u52a0\u5feb\u672a\u6765\u7684\u68c0\u7d22\u3002.<\/p>\n

\u6709\u4e86\u8fd9\u4e9b\u65b0\u589e\u529f\u80fd\u3001, \u5404\u7ec4\u7ec7\u53ef\u4ee5<\/strong> \u5927\u89c4\u6a21\u5730\u7ec4\u7ec7\u3001\u53ef\u89c6\u5316\u548c\u80cc\u666f\u5316\u4ed6\u4eec\u7684 data<\/strong>, \u6211\u4eec\u7684\u76ee\u6807\u662f\uff0c\u63d0\u9ad8\u6d1e\u5bdf\u529b\u7684\u8d28\u91cf\uff0c\u52a0\u5feb\u5206\u6790\u9879\u76ee\u7684\u4ea4\u4ed8\u65f6\u95f4\uff0c\u4e3a\u9ad8\u5c42\u51b3\u7b56\u63d0\u4f9b\u76f4\u63a5\u652f\u6301\u3002.<\/p>\n<\/div>

ML Data \u76ee\u5f55\u5982\u4f55\u52a0\u901f data \u626b\u76f2\uff1f<\/h2><\/div>

\u5982\u524d\u6240\u8ff0\uff0cData \u626b\u76f2\u662f\u6210\u4e3a data-driven \u7ec4\u7ec7\u7684\u57fa\u7840\u6b65\u9aa4\u3002\u5982\u679c data \u6d88\u8d39\u8005\uff08data \u5206\u6790\u5e08\u548c\u79d1\u5b66\u5bb6\u3001\u51b3\u7b56\u8005\u7b49\uff09\u4e0d\u4e86\u89e3 data\uff0c\u90a3\u5c31\u53ea\u80fd\u662f\u591a\u4f59\u7684\u5b58\u50a8\uff0c\u5982\u679c\u8003\u8651\u5230\u5b58\u50a8 data \u7684\u6210\u672c\uff0c\u90a3\u5c31\u662f\u51c0\u8d1f\u503c\u3002.<\/p>\n

\u7531 ML \u652f\u6301\u7684 data \u76ee\u5f55\u4e0d\u4ec5\u80fd\u6d88\u9664\u5b66\u4e60 data \u7684\u969c\u788d\uff0c\u66f4\u91cd\u8981\u7684\u662f\uff0c\u5b83\u8fd8\u80fd\u7528\u4e1a\u52a1\u8bed\u8a00\u5bf9 data \u8fdb\u884c\u89e3\u91ca\uff0c\u4ece\u800c\u4e3a data \u626b\u76f2\u63d0\u4f9b\u652f\u6301\u3002\u4f8b\u5982\uff0c\u81ea\u52a8 data \u6807\u7b7e\u53ef\u4ee5\u6839\u636e\u5404\u79cd\u8981\u7d20\u5c06 data \u8d44\u4ea7\u7ec4\u7ec7\u5230\u7279\u5b9a\u4e1a\u52a1\u9886\u57df\u4e2d\uff0c\u4ece\u800c\u63d0\u4f9b data \u5de5\u7a0b\u5e08\u548c\u4eba\u529b\u8d44\u6e90\u4e3b\u7ba1\u90fd\u80fd\u4f7f\u7528\u7684\u5171\u540c\u6807\u51c6\u3002\u6b64\u5916\u3001, \u5f53\u975e data \u89d2\u8272\u80fd\u591f\u5229\u7528 data \u8d44\u4ea7\u6765\u63d0\u9ad8\u4ea7\u51fa\u65f6\uff0c\u4ed6\u4eec\u5c06\u5728\u4e0b\u4e00\u6b21\u9762\u4e34\u7c7b\u4f3c\u6311\u6218\u65f6\u6c42\u52a9\u4e8e data\uff08\u4ee5\u53ca data \u76ee\u5f55<\/strong>, \u4ece\u800c\u6709\u673a\u5730\u521b\u5efa\u4e00\u4e2a\u4e86\u89e3 data \u548c data-driven \u7684\u7ec4\u7ec7\u3002.<\/p>\n<\/div>

\u4e86\u89e3 data \u5e76\u4e3a\u4e4b\u594b\u6597\u662f\u6210\u529f\u7684\u5173\u952e\u6240\u5728<\/h2><\/div>

\u9274\u4e8e\u5f53\u4eca\u5546\u4e1a\u73af\u5883\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u6210\u4e3a data-driven \u7ec4\u7ec7\u52bf\u5728\u5fc5\u884c\u3002\u5728 \u7814\u7a76<\/a> \u5728 data \u548c\u5206\u6790\uff08D&A\uff09\u9886\u5bfc\u8005 Traci Gusher \u6240\u505a\u7684\u7814\u7a76\u4e2d\uff0c93% \u7684\u516c\u53f8\u8868\u793a\u5c06\u7ee7\u7eed \u201c\u79ef\u6781 \u201d\u589e\u52a0\u5bf9 D&A \u80fd\u529b\u7684\u6295\u8d44\u3002\u4f46\u662f, \u6839\u636e\u5fb7\u535a\u62c9-\u52d2\u592b\u7684\u8bf4\u6cd5<\/a>, IBM\u516c\u53f8Data\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u9996\u5e2d\u6280\u672f\u5b98\u8868\u793a\uff0c87%\u7684data\u79d1\u5b66\u9879\u76ee\u4ece\u672a\u901a\u8fc7\u89c4\u5212\u9636\u6bb5\uff0c\u8fd9\u5bf9data\u7684\u96c4\u5fc3\u58ee\u5fd7\u4ea7\u751f\u4e86\u4e0d\u5229\u5f71\u54cd\u3002.<\/p>\n

\u5404\u884c\u5404\u4e1a\u7684\u516c\u53f8\u90fd\u5728\u8fdb\u884c\u5de8\u989d\u6295\u8d44\u3001, \u83b7\u80dc\u8005\u5c06\u662f\u90a3\u4e9b\u80fd\u591f\u5e2e\u52a9\u5176\u5229\u76ca\u76f8\u5173\u8005\u4e86\u89e3 data \u7684\u4eba<\/strong>. .\u6210\u529f\u5b8c\u6210\u6210\u4e3a data-driven \u7684\u4efb\u52a1\u8868\u660e \u606f\u7a0e\u6298\u65e7\u644a\u9500\u524d\u5229\u6da6\u589e\u52a0\u9ad8\u8fbe 25%<\/a>.<\/p>\n

\u91cd\u8981\u7684\u662f\u8981\u660e\u767d\uff0c\u9664\u975e\u516c\u53f8\u9996\u5148\u91c7\u53d6\u5fc5\u8981\u7684\u63aa\u65bd\u6210\u4e3a data \u901a\u6653\u8005\uff0c\u5426\u5219\u5c31\u4e0d\u53ef\u80fd\u6210\u4e3a data-driven\u3002\u501f\u52a9 ML \u529f\u80fd\uff0c\u4e3a\u4eba\u4eec\u7684 data \u63d0\u4f9b\u5355\u4e00\u7684\u771f\u76f8\u6765\u6e90\uff0c\u4ece\u800c\u6d88\u9664\u5197\u4f59\u7684\u4eba\u5de5\u4efb\u52a1\uff0c\u5982\u4e16\u7cfb\u6620\u5c04\u3001\u5206\u914d data \u6807\u7b7e\u548c\u6240\u6709\u8005\u4ee5\u53ca\u5256\u6790 data\uff0c\u4ece\u800c\u63d0\u9ad8\u900f\u660e\u5ea6\u548c\u4fe1\u4efb\u5ea6\u3002.<\/p>\n<\/div>

Data \u76ee\u5f55\uff1a\u51b3\u7b56\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206<\/h2><\/div>

\u673a\u5668\u5b66\u4e60\u4e3a data \u76ee\u5f55\u6ce8\u5165\u4e86\u65b0\u7684\u6d3b\u529b\uff0c\u4f7f\u5176\u6210\u4e3a\u5f53\u4eca\u5546\u4e1a\u73af\u5883\u4e2d\u4e0d\u53ef\u6216\u7f3a\u7684\u5de5\u5177\u3002\u901a\u8fc7\u4e00\u81f4\u7684 \u201c\u667a\u80fd \u201d\u64cd\u4f5c\uff0c\u80fd\u591f\u6d88\u9664\u5728\u7406\u89e3\u590d\u6742\u7684 data \u96c6\u65f6\u7684\u731c\u6d4b\uff0c\u4ece\u800c\u63d0\u9ad8\u900f\u660e\u5ea6\uff0c\u8fdb\u800c\u5efa\u7acb\u5bf9 data \u8d44\u4ea7\u7684\u4fe1\u5fc3\uff0c\u4ece\u800c\u66f4\u591a\u5730\u4f7f\u7528 data\uff0c\u4ea7\u751f\u66f4\u591a\u7684\u6d1e\u5bdf\u529b\uff0c\u5e76\u4ea7\u751f data-driven \u51b3\u7b56\u7684\u6700\u7ec8\u4ea7\u54c1\u3002.<\/p>\n<\/div><\/div><\/div><\/div><\/article><\/p>","protected":false},"excerpt":{"rendered":"

\u5728\u63a2\u8ba8\u673a\u5668\u5b66\u4e60\uff08ML\uff09data\u76ee\u5f55\u4e4b\u524d\uff0c\u8ba9\u6211\u4eec\u5148\u5b9a\u4e49\u4e00\u4e0b\u4ec0\u4e48\u662f\u57fa\u672c\u7684data\u76ee\u5f55\uff1a\u8fd9\u662f\u4e00\u4e2a\u7528\u4e8e\u5b58\u50a8\u5143\u6570\u636edata\u7684\u4e2d\u592e\u5b58\u50a8\u5e93\u3002. <\/p>","protected":false},"featured_media":70138,"parent":0,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"blog-category":[22035],"blog-language":[2991],"class_list":["post-70137","blog","type-blog","status-publish","has-post-thumbnail","hentry","blog-category-data-ai-consulting","blog-language-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/blog\/70137","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/types\/blog"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/media\/70138"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/media?parent=70137"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/blog-category?post=70137"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/blog-language?post=70137"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}