{"id":476635,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:09","modified_gmt":"2023-09-05T11:13:09","slug":"data-fabric","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/data-fabric\/","title":{"rendered":"\u6570\u636e\u7ed3\u6784"},"content":{"rendered":"

\u6570\u636e\u7ed3\u6784\u662f\u6570\u636e\u7ba1\u7406\u548c\u96c6\u6210\u9886\u57df\u51fa\u73b0\u7684\u4e00\u4e2a\u9769\u547d\u6027\u6982\u5ff5\u3002\u5b83\u662f\u4e00\u79cd\u5c16\u7aef\u67b6\u6784\uff0c\u65e8\u5728\u89e3\u51b3\u5f53\u4eca\u6570\u5b57\u73af\u5883\u4e2d\u6570\u636e\u6570\u91cf\u3001\u79cd\u7c7b\u548c\u901f\u5ea6\u4e0d\u65ad\u589e\u52a0\u6240\u5e26\u6765\u7684\u6311\u6218\u3002\u6570\u636e\u7ed3\u6784\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7edf\u4e00\u4e14\u7075\u6d3b\u7684\u6846\u67b6\uff0c\u7528\u4e8e\u8de8\u5206\u5e03\u5f0f\u548c\u4e0d\u540c\u7cfb\u7edf\u65e0\u7f1d\u8fde\u63a5\u3001\u7ec4\u7ec7\u548c\u5904\u7406\u6570\u636e\uff0c\u4f7f\u4f01\u4e1a\u80fd\u591f\u6709\u6548\u5730\u5229\u7528\u6570\u636e\u7684\u529b\u91cf\u3002<\/p>\n

Data Fabric \u7684\u8d77\u6e90\u5386\u53f2\u53ca\u5176\u9996\u6b21\u63d0\u53ca<\/h2>\n

\u6570\u636e\u7ed3\u6784\u7684\u6982\u5ff5\u53ef\u4ee5\u8ffd\u6eaf\u5230 2010 \u5e74\u4ee3\u521d\uff0c\u5f53\u65f6\u4f01\u4e1a\u5f00\u59cb\u52aa\u529b\u5e94\u5bf9\u7ba1\u7406\u5927\u6570\u636e\u7684\u590d\u6742\u6027\u3002\u4e8b\u5b9e\u8bc1\u660e\uff0c\u4f20\u7edf\u7684\u6570\u636e\u96c6\u6210\u65b9\u6cd5\u6548\u7387\u4f4e\u4e0b\u4e14\u7e41\u7410\uff0c\u65e0\u6cd5\u5e94\u5bf9\u73b0\u4ee3\u5e94\u7528\u7a0b\u5e8f\u548c\u7cfb\u7edf\u751f\u6210\u7684\u6d77\u91cf\u6570\u636e\u3002 \u201c\u6570\u636e\u7ed3\u6784\u201d\u4e00\u8bcd\u7531 Gartner \u5728 2017 \u5e74\u9898\u4e3a\u201c\u6570\u636e\u7ed3\u6784\u7684\u521b\u65b0\u6d1e\u5bdf\u201d\u7684\u62a5\u544a\u4e2d\u9996\u6b21\u5f15\u5165\u3002\u5b83\u7684\u521b\u9020\u662f\u4e3a\u4e86\u63cf\u8ff0\u4e00\u79cd\u65b0\u7684\u6570\u636e\u96c6\u6210\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8ddf\u4e0a\u73b0\u4ee3\u6570\u636e\u7ba1\u7406\u7684\u9700\u6c42\u3002<\/p>\n

\u6709\u5173 Data Fabric \u7684\u8be6\u7ec6\u4fe1\u606f\uff1a\u6269\u5c55\u4e3b\u9898<\/h2>\n

\u6570\u636e\u7ed3\u6784\u4e0d\u4ec5\u4ec5\u662f\u4e00\u79cd\u6280\u672f\uff1b\u5b83\u4e5f\u662f\u4e00\u79cd\u6280\u672f\u3002\u5b83\u662f\u4e00\u4e2a\u603b\u4f53\u6570\u636e\u67b6\u6784\uff0c\u63d0\u4f9b\u7edf\u4e00\u3001\u4e00\u81f4\u7684\u65b9\u5f0f\u6765\u8bbf\u95ee\u3001\u96c6\u6210\u548c\u5206\u6790\u6765\u81ea\u672c\u5730\u548c\u4e91\u4e2d\u4e0d\u540c\u6765\u6e90\u7684\u6570\u636e\u3002\u5b83\u5145\u5f53\u865a\u62df\u5316\u5c42\uff0c\u62bd\u8c61\u5e95\u5c42\u6570\u636e\u57fa\u7840\u8bbe\u65bd\uff0c\u4f7f\u5e94\u7528\u7a0b\u5e8f\u548c\u670d\u52a1\u66f4\u5bb9\u6613\u4e0e\u6570\u636e\u4ea4\u4e92\uff0c\u65e0\u8bba\u5176\u7269\u7406\u4f4d\u7f6e\u6216\u683c\u5f0f\u5982\u4f55\u3002<\/p>\n

\u6570\u636e\u7ed3\u6784\u7684\u6838\u5fc3\u662f\u5229\u7528\u6570\u636e\u865a\u62df\u5316\u3001\u6570\u636e\u96c6\u6210\u3001\u5143\u6570\u636e\u7ba1\u7406\u3001\u6570\u636e\u6cbb\u7406\u548c\u6570\u636e\u7f16\u6392\u7b49\u6280\u672f\u7ec4\u5408\u6765\u521b\u5efa\u4e00\u4e2a\u6709\u51dd\u805a\u529b\u4e14\u4e92\u8fde\u7684\u6570\u636e\u751f\u6001\u7cfb\u7edf\u3002\u901a\u8fc7\u63d0\u4f9b\u5355\u4e00\u3001\u4e00\u81f4\u7684\u6570\u636e\u89c6\u56fe\uff0c\u6570\u636e\u7ed3\u6784\u7b80\u5316\u4e86\u6570\u636e\u8bbf\u95ee\u5e76\u52a0\u901f\u4e86\u6574\u4e2a\u7ec4\u7ec7\u7684\u51b3\u7b56\u8fc7\u7a0b\u3002<\/p>\n

Data Fabric \u7684\u5185\u90e8\u7ed3\u6784\uff1aData Fabric \u7684\u5de5\u4f5c\u539f\u7406<\/h2>\n

\u6570\u636e\u7ed3\u6784\u7531\u51e0\u4e2a\u5173\u952e\u7ec4\u4ef6\u7ec4\u6210\uff0c\u8fd9\u4e9b\u7ec4\u4ef6\u534f\u8c03\u5de5\u4f5c\u4ee5\u5b9e\u73b0\u5176\u529f\u80fd\u3002\u8ba9\u6211\u4eec\u6df1\u5165\u7814\u7a76\u6bcf\u4e2a\u7ec4\u4ef6\uff1a<\/p>\n

    \n
  1. \n

    \u6570\u636e\u865a\u62df\u5316\uff1a<\/strong> \u6570\u636e\u865a\u62df\u5316\u662f\u6570\u636e\u7ed3\u6784\u7684\u6838\u5fc3\uff0c\u8d1f\u8d23\u5c06\u591a\u4e2a\u6765\u6e90\u7684\u6570\u636e\u62bd\u8c61\u5230\u7edf\u4e00\u7684\u865a\u62df\u5c42\u4e2d\u3002\u5b83\u63d0\u4f9b\u4e86\u6570\u636e\u7684\u903b\u8f91\u89c6\u56fe\uff0c\u6d88\u9664\u4e86\u4e0d\u540c\u5e94\u7528\u7a0b\u5e8f\u8bbf\u95ee\u65f6\u7269\u7406\u79fb\u52a8\u6216\u590d\u5236\u6570\u636e\u7684\u9700\u8981\u3002<\/p>\n<\/li>\n

  2. \n

    \u6570\u636e\u6574\u5408\uff1a<\/strong> \u6570\u636e\u96c6\u6210\u6d89\u53ca\u534f\u8c03\u6765\u81ea\u4e0d\u540c\u6765\u6e90\u7684\u6570\u636e\u4ee5\u786e\u4fdd\u4e00\u81f4\u6027\u548c\u51c6\u786e\u6027\u7684\u8fc7\u7a0b\u3002\u8be5\u7ec4\u4ef6\u53ef\u786e\u4fdd\u6570\u636e\u6b63\u786e\u8f6c\u6362\u5e76\u6620\u5c04\u5230\u865a\u62df\u5c42\uff0c\u4ece\u800c\u5b9e\u73b0\u65e0\u7f1d\u8bbf\u95ee\u3002<\/p>\n<\/li>\n

  3. \n

    \u5143\u6570\u636e\u7ba1\u7406\uff1a<\/strong> \u5143\u6570\u636e\u5728\u6570\u636e\u7ed3\u6784\u4e2d\u8d77\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u6709\u5173\u6570\u636e\u7684\u57fa\u672c\u4fe1\u606f\uff0c\u5305\u62ec\u5176\u8d77\u6e90\u3001\u7ed3\u6784\u548c\u6cbf\u88ad\u3002\u5143\u6570\u636e\u7ba1\u7406\u53ef\u786e\u4fdd\u6570\u636e\u5f97\u5230\u6b63\u786e\u8bb0\u5f55\uff0c\u4f7f\u5176\u66f4\u6613\u4e8e\u7406\u89e3\u3001\u7ba1\u7406\u548c\u4f7f\u7528\u3002<\/p>\n<\/li>\n

  4. \n

    \u6570\u636e\u6cbb\u7406\uff1a<\/strong> \u6570\u636e\u6cbb\u7406\u786e\u4fdd\u6570\u636e\u7684\u7ba1\u7406\u548c\u4f7f\u7528\u7b26\u5408\u76d1\u7ba1\u548c\u7ec4\u7ec7\u653f\u7b56\u3002\u5b83\u5236\u5b9a\u4e86\u6570\u636e\u8bbf\u95ee\u3001\u5b89\u5168\u548c\u9690\u79c1\u7684\u89c4\u5219\u548c\u6307\u5357\uff0c\u4fdd\u62a4\u654f\u611f\u4fe1\u606f\u3002<\/p>\n<\/li>\n

  5. \n

    \u6570\u636e\u7f16\u6392\uff1a<\/strong> \u6570\u636e\u7f16\u6392\u534f\u8c03\u6574\u4e2a\u6570\u636e\u7ed3\u6784\u4e2d\u7684\u6570\u636e\u79fb\u52a8\u548c\u5904\u7406\u4efb\u52a1\u3002\u5b83\u4f18\u5316\u6570\u636e\u5de5\u4f5c\u6d41\u7a0b\u5e76\u786e\u4fdd\u5411\u5e94\u7528\u7a0b\u5e8f\u548c\u7528\u6237\u9ad8\u6548\u4ea4\u4ed8\u6570\u636e\u3002<\/p>\n<\/li>\n<\/ol>\n

    Data Fabric\u5173\u952e\u7279\u6027\u5206\u6790<\/h2>\n

    Data Fabric \u63d0\u4f9b\u4e86\u51e0\u4e2a\u4e0e\u4f20\u7edf\u6570\u636e\u96c6\u6210\u65b9\u6cd5\u4e0d\u540c\u7684\u5173\u952e\u529f\u80fd\u3002\u8ba9\u6211\u4eec\u63a2\u8ba8\u4e00\u4e0b\u8fd9\u4e9b\u529f\u80fd\uff1a<\/p>\n

      \n
    1. \n

      \u7edf\u4e00\u6570\u636e\u8bbf\u95ee\uff1a<\/strong> \u6570\u636e\u7ed3\u6784\u63d0\u4f9b\u7edf\u4e00\u7684\u6570\u636e\u89c6\u56fe\uff0c\u65e0\u8bba\u5176\u7269\u7406\u4f4d\u7f6e\u6216\u683c\u5f0f\u5982\u4f55\u3002\u6b64\u529f\u80fd\u53ef\u5b9e\u73b0\u65e0\u7f1d\u6570\u636e\u8bbf\u95ee\u5e76\u4fc3\u8fdb\u7ec4\u7ec7\u5185\u7684\u6570\u636e\u6c11\u4e3b\u5316\u3002<\/p>\n<\/li>\n

    2. \n

      \u5b9e\u65f6\u6570\u636e\u96c6\u6210\uff1a<\/strong> \u501f\u52a9\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u5b9e\u73b0\u5b9e\u65f6\u6570\u636e\u96c6\u6210\u3002\u5b83\u4f7f\u4f01\u4e1a\u80fd\u591f\u5229\u7528\u6700\u65b0\u7684\u4fe1\u606f\uff0c\u4ece\u800c\u505a\u51fa\u66f4\u597d\u3001\u66f4\u660e\u667a\u7684\u51b3\u7b56\u3002<\/p>\n<\/li>\n

    3. \n

      \u53ef\u6269\u5c55\u6027\u548c\u7075\u6d3b\u6027\uff1a<\/strong> \u6570\u636e\u7ed3\u6784\u5177\u6709\u9ad8\u5ea6\u53ef\u6269\u5c55\u6027\u548c\u7075\u6d3b\u6027\uff0c\u53ef\u4ee5\u6ee1\u8db3\u73b0\u4ee3\u4f01\u4e1a\u4e0d\u65ad\u53d8\u5316\u7684\u6570\u636e\u9700\u6c42\u3002\u5b83\u53ef\u4ee5\u5904\u7406\u5927\u91cf\u6570\u636e\u5e76\u8f7b\u677e\u9002\u5e94\u65b0\u7684\u6570\u636e\u6e90\u548c\u6280\u672f\u3002<\/p>\n<\/li>\n

    4. \n

      \u6570\u636e\u5b89\u5168\u548c\u6cbb\u7406\uff1a<\/strong> Data Fabric \u7ed3\u5408\u4e86\u5f3a\u5927\u7684\u6570\u636e\u6cbb\u7406\u548c\u5b89\u5168\u673a\u5236\uff0c\u786e\u4fdd\u6570\u636e\u53d7\u5230\u4fdd\u62a4\u5e76\u4ec5\u7531\u6388\u6743\u4eba\u5458\u8bbf\u95ee\u3002<\/p>\n<\/li>\n

    5. \n

      \u6210\u672c\u6548\u76ca\uff1a<\/strong> \u901a\u8fc7\u6d88\u9664\u6570\u636e\u91cd\u590d\u548c\u6602\u8d35\u7684\u6570\u636e\u79fb\u52a8\u7684\u9700\u8981\uff0c\u6570\u636e\u7ed3\u6784\u53ef\u4ee5\u663e\u7740\u964d\u4f4e\u4e0e\u6570\u636e\u7ba1\u7406\u76f8\u5173\u7684\u8fd0\u8425\u6210\u672c\u3002<\/p>\n<\/li>\n<\/ol>\n

      \u6570\u636e\u7ed3\u6784\u7684\u7c7b\u578b<\/h2>\n

      \u6570\u636e\u7ed3\u6784\u89e3\u51b3\u65b9\u6848\u53ef\u80fd\u56e0\u5176\u5b9e\u65bd\u548c\u7528\u4f8b\u800c\u5f02\u3002\u4ee5\u4e0b\u662f\u6570\u636e\u7ed3\u6784\u7684\u4e3b\u8981\u7c7b\u578b\uff1a<\/p>\n\n\n\n\n\n\n\n
      \u7c7b\u578b<\/th>\n\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n
      \u672c\u5730\u6570\u636e\u7ed3\u6784<\/strong><\/td>\n\u8fd9\u79cd\u7c7b\u578b\u7684\u6570\u636e\u7ed3\u6784\u90e8\u7f72\u5728\u7ec4\u7ec7\u7684\u79c1\u6709\u6570\u636e\u4e2d\u5fc3\u5185\uff0c\u8fde\u63a5\u672c\u5730\u6570\u636e\u6e90\u3002<\/td>\n<\/tr>\n
      \u4e91\u6570\u636e\u7ed3\u6784<\/strong><\/td>\n\u4e91\u6570\u636e\u7ed3\u6784\u5c06\u6570\u636e\u8fde\u63a5\u6269\u5c55\u5230\u57fa\u4e8e\u4e91\u7684\u5e94\u7528\u7a0b\u5e8f\u548c\u6570\u636e\u670d\u52a1\uff0c\u4ece\u800c\u4fc3\u8fdb\u6df7\u5408\u4e91\u8bbe\u7f6e\u3002<\/td>\n<\/tr>\n
      \u6df7\u5408\u6570\u636e\u7ed3\u6784<\/strong><\/td>\n\u6df7\u5408\u6570\u636e\u7ed3\u6784\u96c6\u6210\u4e86\u6765\u81ea\u672c\u5730\u548c\u4e91\u73af\u5883\u7684\u6570\u636e\uff0c\u63d0\u4f9b\u8de8\u4e24\u8005\u7684\u65e0\u7f1d\u6570\u636e\u8bbf\u95ee\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Data Fabric \u7684\u4f7f\u7528\u65b9\u6cd5\u3001\u4f7f\u7528\u76f8\u5173\u7684\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6848<\/h2>\n

      Data Fabric \u63d0\u4f9b\u8de8\u4e0d\u540c\u884c\u4e1a\u548c\u4e1a\u52a1\u573a\u666f\u7684\u591a\u529f\u80fd\u7528\u4f8b\uff1a<\/p>\n

        \n
      1. \n

        \u6570\u636e\u6574\u5408\uff1a<\/strong> \u6570\u636e\u7ed3\u6784\u7b80\u5316\u4e86\u96c6\u6210\u591a\u4e2a\u6765\u6e90\u7684\u6570\u636e\u7684\u8fc7\u7a0b\uff0c\u51cf\u5c11\u4e86\u6570\u636e\u51c6\u5907\u6240\u9700\u7684\u65f6\u95f4\u548c\u7cbe\u529b\u3002<\/p>\n<\/li>\n

      2. \n

        \u5b9e\u65f6\u5206\u6790\uff1a<\/strong> \u51ed\u501f\u5b9e\u65f6\u6570\u636e\u8bbf\u95ee\u548c\u96c6\u6210\u529f\u80fd\uff0c\u6570\u636e\u7ed3\u6784\u4f7f\u4f01\u4e1a\u80fd\u591f\u6267\u884c\u6570\u636e\u5206\u6790\u5e76\u5373\u65f6\u83b7\u5f97\u89c1\u89e3\u3002<\/p>\n<\/li>\n

      3. \n

        \u6570\u636e\u8fc1\u79fb\uff1a<\/strong> \u5728\u7cfb\u7edf\u6216\u4e91\u5e73\u53f0\u4e4b\u95f4\u8fc1\u79fb\u6570\u636e\u65f6\uff0cData Fabric \u53ef\u786e\u4fdd\u5e73\u7a33\u9ad8\u6548\u7684\u8fc7\u6e21\uff0c\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u505c\u673a\u65f6\u95f4\u548c\u6570\u636e\u4e22\u5931\u3002<\/p>\n<\/li>\n

      4. \n

        \u6570\u636e\u6cbb\u7406\u548c\u5408\u89c4\u6027\uff1a<\/strong> Data Fabric \u5f3a\u5927\u7684\u6cbb\u7406\u529f\u80fd\u53ef\u5e2e\u52a9\u4f01\u4e1a\u4fdd\u6301\u5bf9\u6570\u636e\u6cd5\u89c4\u548c\u6807\u51c6\u7684\u5408\u89c4\u6027\u3002<\/p>\n<\/li>\n

      5. \n

        \u654f\u6377\u6570\u636e\u7ba1\u7406\uff1a<\/strong> Data Fabric \u652f\u6301\u654f\u6377\u7684\u6570\u636e\u7ba1\u7406\u5b9e\u8df5\uff0c\u4f7f\u7ec4\u7ec7\u80fd\u591f\u5feb\u901f\u9002\u5e94\u4e0d\u65ad\u53d8\u5316\u7684\u6570\u636e\u9700\u6c42\u3002<\/p>\n<\/li>\n<\/ol>\n

        \u7136\u800c\uff0c\u6570\u636e\u7ed3\u6784\u7684\u5b9e\u65bd\u53ef\u80fd\u9762\u4e34\u4ee5\u4e0b\u6311\u6218\uff1a<\/p>\n

          \n
        1. \n

          \u590d\u6742\uff1a<\/strong> \u8bbe\u7f6e\u6570\u636e\u7ed3\u6784\u9700\u8981\u4ed4\u7ec6\u89c4\u5212\u548c\u96c6\u6210\u5de5\u4f5c\uff0c\u7279\u522b\u662f\u5728\u62e5\u6709\u5927\u91cf\u6570\u636e\u6e90\u7684\u5927\u578b\u4f01\u4e1a\u4e2d\u3002<\/p>\n<\/li>\n

        2. \n

          \u9057\u7559\u7cfb\u7edf\uff1a<\/strong> \u7531\u4e8e\u6570\u636e\u683c\u5f0f\u548c\u534f\u8bae\u7684\u5dee\u5f02\uff0c\u5c06\u9057\u7559\u7cfb\u7edf\u4e0e\u6570\u636e\u7ed3\u6784\u96c6\u6210\u53ef\u80fd\u5177\u6709\u6311\u6218\u6027\u3002<\/p>\n<\/li>\n

        3. \n

          \u6570\u636e\u5b89\u5168\u95ee\u9898\uff1a<\/strong> \u96c6\u4e2d\u5f0f\u6570\u636e\u8bbf\u95ee\u53ef\u80fd\u4f1a\u5f15\u8d77\u5b89\u5168\u95ee\u9898\uff0c\u9700\u8981\u5f3a\u5927\u7684\u8bbf\u95ee\u63a7\u5236\u548c\u52a0\u5bc6\u3002<\/p>\n<\/li>\n

        4. \n

          \u6570\u636e\u8d28\u91cf\u95ee\u9898\uff1a<\/strong> \u786e\u4fdd\u4e0d\u540c\u6765\u6e90\u7684\u6570\u636e\u4e00\u81f4\u6027\u548c\u8d28\u91cf\u53ef\u80fd\u9700\u8981\u5e7f\u6cdb\u7684\u6570\u636e\u6e05\u7406\u548c\u8f6c\u6362\u3002<\/p>\n<\/li>\n<\/ol>\n

          \u4e3b\u8981\u7279\u70b9\u53ca\u5176\u4ed6\u4e0e\u540c\u7c7b\u4ea7\u54c1\u7684\u6bd4\u8f83<\/h2>\n

          \u8ba9\u6211\u4eec\u5c06\u6570\u636e\u7ed3\u6784\u4e0e\u5176\u4ed6\u76f8\u5173\u6570\u636e\u7ba1\u7406\u672f\u8bed\u8fdb\u884c\u6bd4\u8f83\uff1a<\/p>\n\n\n\n\n\n\n\n
          \u5b66\u671f<\/th>\n\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n
          \u6570\u636e\u6e56<\/strong><\/td>\n\u6570\u636e\u6e56\u662f\u4e00\u4e2a\u5927\u578b\u5b58\u50a8\u5e93\uff0c\u901a\u5e38\u4ee5\u5176\u672c\u673a\u683c\u5f0f\u5b58\u50a8\u539f\u59cb\u548c\u672a\u5904\u7406\u7684\u6570\u636e\u3002\u4e0e\u6570\u636e\u7ed3\u6784\u4e0d\u540c\uff0c\u6570\u636e\u6e56\u7f3a\u4e4f\u65e0\u7f1d\u96c6\u6210\u548c\u7edf\u4e00\u7684\u6570\u636e\u8bbf\u95ee\u80fd\u529b\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u6570\u636e\u7ed3\u6784\u63d0\u4f9b\u4e86\u5177\u6709\u5b9e\u65f6\u96c6\u6210\u548c\u865a\u62df\u5316\u529f\u80fd\u7684\u5185\u805a\u6570\u636e\u5c42\u3002<\/td>\n<\/tr>\n
          \u6570\u636e\u4ed3\u5e93<\/strong><\/td>\n\u6570\u636e\u4ed3\u5e93\u662f\u9488\u5bf9\u67e5\u8be2\u548c\u62a5\u544a\u8fdb\u884c\u4f18\u5316\u7684\u7ed3\u6784\u5316\u6570\u636e\u5e93\u3002\u867d\u7136\u6570\u636e\u4ed3\u5e93\u975e\u5e38\u9002\u5408\u5546\u4e1a\u667a\u80fd\u548c\u5206\u6790\uff0c\u4f46\u5b83\u4eec\u53ef\u80fd\u96be\u4ee5\u6709\u6548\u5730\u5904\u7406\u5b9e\u65f6\u6570\u636e\u96c6\u6210\u548c\u591a\u6837\u5316\u7684\u6570\u636e\u7c7b\u578b\u3002\u6570\u636e\u7ed3\u6784\u51ed\u501f\u5176\u6570\u636e\u865a\u62df\u5316\u548c\u5b9e\u65f6\u529f\u80fd\uff0c\u901a\u8fc7\u63d0\u4f9b\u654f\u6377\u7684\u6570\u636e\u8bbf\u95ee\u548c\u96c6\u6210\u6765\u8865\u5145\u6570\u636e\u4ed3\u5e93\u3002<\/td>\n<\/tr>\n
          \u4f01\u4e1a\u670d\u52a1\u603b\u7ebf (ESB)<\/strong><\/td>\nESB \u662f\u4e00\u79cd\u4e2d\u95f4\u4ef6\u89e3\u51b3\u65b9\u6848\uff0c\u7528\u4e8e\u5728\u7ec4\u7ec7\u5185\u96c6\u6210\u5e94\u7528\u7a0b\u5e8f\u548c\u670d\u52a1\u3002 ESB \u4e13\u6ce8\u4e8e\u5e94\u7528\u7a0b\u5e8f\u96c6\u6210\uff0c\u800c Data Fabric \u5219\u91c7\u7528\u66f4\u5e7f\u6cdb\u7684\u65b9\u6cd5\uff0c\u96c6\u6210\u6765\u81ea\u5404\u79cd\u6765\u6e90\u7684\u6570\u636e\u5e76\u63d0\u4f9b\u7edf\u4e00\u7684\u89c6\u56fe\uff0c\u4f7f\u5176\u66f4\u9002\u5408\u73b0\u4ee3\u6570\u636e\u9a71\u52a8\u7684\u4e1a\u52a1\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u4e0e Data Fabric \u76f8\u5173\u7684\u672a\u6765\u524d\u666f\u548c\u6280\u672f<\/h2>\n

          \u6570\u636e\u7ed3\u6784\u7684\u672a\u6765\u770b\u8d77\u6765\u5145\u6ee1\u5e0c\u671b\uff0c\u6280\u672f\u8fdb\u6b65\u5c06\u8fdb\u4e00\u6b65\u589e\u5f3a\u5176\u529f\u80fd\uff1a<\/p>\n

            \n
          1. \n

            \u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\uff1a<\/strong> \u6570\u636e\u7ed3\u6784\u4e0e\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u6280\u672f\u76f8\u7ed3\u5408\uff0c\u5c06\u5b9e\u73b0\u667a\u80fd\u6570\u636e\u53d1\u73b0\u3001\u81ea\u52a8\u6570\u636e\u96c6\u6210\u548c\u4e3b\u52a8\u6570\u636e\u5efa\u8bae\uff0c\u4e3a\u4f01\u4e1a\u63d0\u4f9b\u6570\u636e\u9a71\u52a8\u7684\u89c1\u89e3\u3002<\/p>\n<\/li>\n

          2. \n

            \u8fb9\u7f18\u6570\u636e\u7ed3\u6784\uff1a<\/strong> \u968f\u7740\u7269\u8054\u7f51 (IoT) \u548c\u8fb9\u7f18\u8ba1\u7b97\u7684\u53d1\u5c55\uff0c\u8fb9\u7f18\u6570\u636e\u7ed3\u6784\u89e3\u51b3\u65b9\u6848\u5c06\u4f1a\u51fa\u73b0\uff0c\u4ece\u800c\u5141\u8bb8\u5728\u7f51\u7edc\u8fb9\u7f18\u8fdb\u884c\u5b9e\u65f6\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/li>\n

          3. \n

            \u533a\u5757\u94fe\u96c6\u6210\uff1a<\/strong> \u5c06\u533a\u5757\u94fe\u4e0e Data Fabric \u96c6\u6210\u5c06\u589e\u5f3a\u6570\u636e\u5b89\u5168\u6027\u548c\u900f\u660e\u5ea6\uff0c\u786e\u4fdd\u6574\u4e2a Data Fabric \u751f\u6001\u7cfb\u7edf\u4e2d\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u771f\u5b9e\u6027\u3002<\/p>\n<\/li>\n<\/ol>\n

            \u5982\u4f55\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\u6216\u5982\u4f55\u5c06\u4ee3\u7406\u670d\u52a1\u5668\u4e0e Data Fabric \u5173\u8054<\/h2>\n

            \u4ee3\u7406\u670d\u52a1\u5668\uff08\u5982 OneProxy (oneproxy.pro) \u63d0\u4f9b\u7684\u4ee3\u7406\u670d\u52a1\u5668\uff09\u53ef\u4ee5\u5728\u6570\u636e\u7ed3\u6784\u73af\u5883\u4e2d\u53d1\u6325\u91cd\u8981\u4f5c\u7528\u3002\u5b83\u4eec\u5145\u5f53\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u5668\u4e4b\u95f4\u7684\u4e2d\u4ecb\uff0c\u8f6c\u53d1\u8bf7\u6c42\u548c\u54cd\u5e94\uff0c\u540c\u65f6\u8fd8\u63d0\u4f9b\u7f13\u5b58\u3001\u5b89\u5168\u6027\u548c\u533f\u540d\u7b49\u9644\u52a0\u529f\u80fd\u3002<\/p>\n

            \u5728 Data Fabric \u8bbe\u7f6e\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\uff1a<\/p>\n

              \n
            1. \n

              \u6570\u636e\u5b89\u5168\uff1a<\/strong> \u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5145\u5f53\u9632\u706b\u5899\u3001\u8fc7\u6ee4\u6076\u610f\u6d41\u91cf\u5e76\u4fdd\u62a4\u654f\u611f\u6570\u636e\u514d\u906d\u672a\u7ecf\u6388\u6743\u7684\u8bbf\u95ee\uff0c\u4ece\u800c\u589e\u5f3a\u6570\u636e\u7ed3\u6784\u7684\u5b89\u5168\u6027\u3002<\/p>\n<\/li>\n

            2. \n

              \u6570\u636e\u7f13\u5b58\uff1a<\/strong> \u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u7f13\u5b58\u9891\u7e41\u8bbf\u95ee\u7684\u6570\u636e\uff0c\u51cf\u5c11\u6570\u636e\u8bbf\u95ee\u5ef6\u8fdf\u5e76\u63d0\u9ad8 Data Fabric \u5e94\u7528\u7a0b\u5e8f\u7684\u6574\u4f53\u6027\u80fd\u3002<\/p>\n<\/li>\n

            3. \n

              \u8d1f\u8f7d\u5747\u8861\uff1a<\/strong> \u901a\u8fc7\u5c06\u6570\u636e\u8bf7\u6c42\u5206\u5e03\u5230\u591a\u4e2a\u540e\u7aef\u670d\u52a1\u5668\uff0c\u4ee3\u7406\u670d\u52a1\u5668\u4f18\u5316\u4e86\u6570\u636e\u7ed3\u6784\u6027\u80fd\u5e76\u786e\u4fdd\u6570\u636e\u8bbf\u95ee\u987a\u7545\u3002<\/p>\n<\/li>\n

            4. \n

              \u533f\u540d\u548c\u9690\u79c1\uff1a<\/strong> \u5728\u67d0\u4e9b\u6570\u636e\u7ed3\u6784\u573a\u666f\u4e2d\uff0c\u7528\u6237\u53ef\u80fd\u9700\u8981\u533f\u540d\u3002\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u9690\u85cf\u7528\u6237\u7684IP\u5730\u5740\uff0c\u589e\u5f3a\u9690\u79c1\u548c\u6570\u636e\u4fdd\u62a4\u3002<\/p>\n<\/li>\n<\/ol>\n

              \u76f8\u5173\u94fe\u63a5<\/h2>\n

              \u6709\u5173 Data Fabric \u53ca\u5176\u5e94\u7528\u7a0b\u5e8f\u7684\u66f4\u591a\u4fe1\u606f\uff0c\u60a8\u53ef\u4ee5\u6d4f\u89c8\u4ee5\u4e0b\u8d44\u6e90\uff1a<\/p>\n

                \n
              1. Gartner \u62a5\u544a\uff1aData Fabric \u7684\u521b\u65b0\u6d1e\u5bdf<\/a><\/li>\n
              2. \u6570\u636e\u865a\u62df\u5316\u7b80\u4ecb<\/a><\/li>\n
              3. Data Fabric \u4e0e Data Lake\uff1a\u4e86\u89e3\u5dee\u5f02<\/a><\/li>\n
              4. \u8fb9\u7f18\u8ba1\u7b97\u53ca\u5176\u5bf9\u6570\u636e\u7ba1\u7406\u7684\u5f71\u54cd<\/a><\/li>\n
              5. \u4ee3\u7406\u670d\u52a1\u5668\u5982\u4f55\u5de5\u4f5c<\/a><\/li>\n<\/ol>\n

                \u603b\u4e4b\uff0c\u6570\u636e\u7ed3\u6784\u4ee3\u8868\u4e86\u4e00\u79cd\u53d8\u9769\u6027\u7684\u6570\u636e\u7ba1\u7406\u65b9\u6cd5\uff0c\u4f7f\u7ec4\u7ec7\u80fd\u591f\u6253\u7834\u6570\u636e\u5b64\u5c9b\u3001\u63d0\u9ad8\u6570\u636e\u53ef\u8bbf\u95ee\u6027\u5e76\u505a\u51fa\u66f4\u660e\u667a\u7684\u51b3\u7b56\u3002\u968f\u7740\u6570\u636e\u91cf\u548c\u590d\u6742\u6027\u4e0d\u65ad\u589e\u52a0\uff0c\u6570\u636e\u7ed3\u6784\u5c06\u4e0d\u65ad\u53d1\u5c55\uff0c\u5e76\u5728\u5851\u9020\u6570\u636e\u9a71\u52a8\u578b\u4f01\u4e1a\u7684\u672a\u6765\u65b9\u9762\u53d1\u6325\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\u3002<\/p>","protected":false},"featured_media":468102,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476635","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Data Fabric: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Data Fabric?","answer":"

                Data Fabric is a revolutionary data management architecture designed to address the challenges of handling large volumes of data from diverse sources. It provides a unified and flexible framework for seamless data integration, access, and analysis.<\/p>"},{"question":"How did Data Fabric originate?","answer":"

                The concept of Data Fabric emerged in the early 2010s as businesses faced difficulties managing big data with traditional methods. Gartner introduced the term \"Data Fabric\" in 2017 to describe a new approach that could cope with the demands of modern data management.<\/p>"},{"question":"What does Data Fabric offer?","answer":"

                Data Fabric offers a cohesive and interconnected data ecosystem, combining data virtualization, integration, metadata management, governance, and orchestration. It provides a single, consistent view of data, streamlining access and decision-making processes.<\/p>"},{"question":"How does Data Fabric work internally?","answer":"

                Data Fabric works by abstracting data from multiple sources into a unified virtual layer using data virtualization. It also involves data integration, metadata management, data governance, and data orchestration to ensure seamless data access and processing.<\/p>"},{"question":"What are the key features of Data Fabric?","answer":"

                Data Fabric offers unified data access, real-time data integration, scalability, flexibility, data security, and cost-effectiveness, making it a robust solution for modern data challenges.<\/p>"},{"question":"What types of Data Fabric exist?","answer":"

                There are three main types of Data Fabric: On-Premises Data Fabric, Cloud Data Fabric, and Hybrid Data Fabric, catering to different data management needs.<\/p>"},{"question":"What are the use cases for Data Fabric?","answer":"

                Data Fabric finds applications in data integration, real-time analytics, data migration, data governance, and agile data management, among others.<\/p>"},{"question":"What are the challenges and solutions related to Data Fabric implementation?","answer":"

                Implementing Data Fabric may face complexities, particularly in large-scale enterprises and with legacy systems. Data security concerns and data quality issues can be addressed through robust access controls, encryption, and data cleansing.<\/p>"},{"question":"How does Data Fabric compare to other data management terms?","answer":"

                Data Fabric differs from Data Lake, Data Warehouse, and Enterprise Service Bus (ESB) by offering real-time integration, unified data access, and a broader approach to data management.<\/p>"},{"question":"What does the future hold for Data Fabric?","answer":"

                The future of Data Fabric looks promising with advancements in AI, ML, edge computing, and blockchain integration, enhancing its capabilities further.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/476635","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\/476635\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media\/468102"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=476635"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}