{"id":476681,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:13","modified_gmt":"2023-09-05T11:13:13","slug":"data-pipelines","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/data-pipelines\/","title":{"rendered":"\u6570\u636e\u7ba1\u9053"},"content":{"rendered":"<p>\u6570\u636e\u7ba1\u9053\u662f\u6307\u7528\u4e8e\u6536\u96c6\u3001\u8f6c\u6362\u6570\u636e\u5e76\u5c06\u6570\u636e\u4ece\u5404\u79cd\u6765\u6e90\u4f20\u9001\u5230\u9884\u671f\u76ee\u7684\u5730\u7684\u4e00\u7ec4\u6d41\u7a0b\u548c\u6280\u672f\u3002\u8fd9\u4e9b\u7ba1\u9053\u4fc3\u8fdb\u6570\u636e\u7684\u987a\u7545\u6d41\u52a8\uff0c\u786e\u4fdd\u5176\u51c6\u786e\u6027\u3001\u53ef\u9760\u6027\u548c\u53ef\u8bbf\u95ee\u6027\u3002\u6570\u636e\u7ba1\u9053\u5728\u73b0\u4ee3\u6570\u636e\u9a71\u52a8\u7684\u7ec4\u7ec7\u4e2d\u53d1\u6325\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u4f7f\u4ed6\u4eec\u80fd\u591f\u63d0\u53d6\u6709\u4ef7\u503c\u7684\u89c1\u89e3\u5e76\u6839\u636e\u6570\u636e\u5206\u6790\u505a\u51fa\u660e\u667a\u7684\u51b3\u7b56\u3002<\/p>\n<h2>\u6570\u636e\u7ba1\u9053\u7684\u8d77\u6e90\u5386\u53f2\u53ca\u5176\u9996\u6b21\u63d0\u53ca\u3002<\/h2>\n<p>\u968f\u7740\u4fe1\u606f\u6280\u672f\u7684\u53d1\u5c55\u548c\u5bf9\u9ad8\u6548\u6570\u636e\u5904\u7406\u7684\u9700\u6c42\u4e0d\u65ad\u589e\u957f\uff0c\u6570\u636e\u7ba1\u9053\u7684\u6982\u5ff5\u4e5f\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u53d1\u5c55\u3002\u867d\u7136\u6570\u636e\u7ba1\u9053\u7684\u786e\u5207\u8d77\u6e90\u5f88\u96be\u67e5\u660e\uff0c\u4f46\u5b83\u4eec\u53ef\u4ee5\u8ffd\u6eaf\u5230\u6570\u636e\u96c6\u6210\u548c ETL\uff08\u63d0\u53d6\u3001\u8f6c\u6362\u3001\u52a0\u8f7d\uff09\u8fc7\u7a0b\u7684\u65e9\u671f\u3002<\/p>\n<p>\u5728 20 \u4e16\u7eaa 60 \u5e74\u4ee3\uff0c\u968f\u7740\u7ec4\u7ec7\u5f00\u59cb\u5229\u7528\u6570\u636e\u5e93\u8fdb\u884c\u6570\u636e\u5b58\u50a8\uff0c\u9700\u8981\u5728\u4e0d\u540c\u7cfb\u7edf\u4e4b\u95f4\u63d0\u53d6\u3001\u8f6c\u6362\u548c\u52a0\u8f7d\u6570\u636e\u3002\u8fd9\u79cd\u5fc5\u8981\u6027\u5bfc\u81f4\u4e86 ETL 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\u5b83\u4eec\u63d0\u4f9b\u53ef\u9760\u7684\u6570\u636e\u4f20\u8f93\u65b9\u5f0f\uff0c\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u4e00\u81f4\u6027\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7075\u6d3b\u6027\uff1a<\/strong> \u6570\u636e\u7ba1\u9053\u53ef\u4ee5\u9002\u5e94\u5404\u79cd\u6570\u636e\u683c\u5f0f\u3001\u6e90\u548c\u76ee\u7684\u5730\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5b9e\u65f6\u5904\u7406\uff1a<\/strong> \u4e00\u4e9b\u6570\u636e\u7ba1\u9053\u652f\u6301\u5b9e\u65f6\u6570\u636e\u5904\u7406\uff0c\u53ef\u4ee5\u53ca\u65f6\u83b7\u5f97\u6d1e\u5bdf\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u8d28\u91cf\u7ba1\u7406\uff1a<\/strong> \u6570\u636e\u7ba1\u9053\u901a\u5e38\u5305\u62ec\u6570\u636e\u9a8c\u8bc1\u548c\u6e05\u7406\u673a\u5236\uff0c\u4ee5\u63d0\u9ad8\u6570\u636e\u8d28\u91cf\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u6570\u636e\u7ba1\u9053\u7684\u7c7b\u578b<\/h2>\n<p>\u6570\u636e\u7ba1\u9053\u53ef\u4ee5\u6839\u636e\u5176\u90e8\u7f72\u3001\u6570\u636e\u5904\u7406\u65b9\u6cd5\u548c\u7528\u4f8b\u8fdb\u884c\u5206\u7c7b\u3002\u6570\u636e\u7ba1\u9053\u7684\u4e3b\u8981\u7c7b\u578b\u6709\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u6279\u91cf\u6570\u636e\u7ba1\u9053\uff1a<\/strong> \u8fd9\u4e9b\u7ba1\u9053\u4ee5\u56fa\u5b9a\u5927\u5c0f\u7684\u6279\u6b21\u5904\u7406\u6570\u636e\uff0c\u4f7f\u5176\u9002\u5408\u5bf9\u65f6\u95f4\u4e0d\u654f\u611f\u7684\u4efb\u52a1\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6d41\u6570\u636e\u7ba1\u9053\uff1a<\/strong> \u6d41\u5f0f\u7ba1\u9053\u4e13\u4e3a\u5b9e\u65f6\u6570\u636e\u5904\u7406\u800c\u8bbe\u8ba1\uff0c\u53ef\u5728\u6570\u636e\u5230\u8fbe\u65f6\u5bf9\u5176\u8fdb\u884c\u5904\u7406\uff0c\u4ece\u800c\u80fd\u591f\u7acb\u5373\u91c7\u53d6\u884c\u52a8\u3002<\/p>\n<\/li>\n<li>\n<p><strong>ETL\uff08\u63d0\u53d6\u3001\u8f6c\u6362\u3001\u52a0\u8f7d\uff09\u7ba1\u9053\uff1a<\/strong> \u4f20\u7edf\u7684\u6570\u636e\u96c6\u6210\u7ba1\u9053\u4ece\u5404\u79cd\u6765\u6e90\u63d0\u53d6\u6570\u636e\u3001\u8f6c\u6362\u6570\u636e\u5e76\u5c06\u5176\u52a0\u8f7d\u5230\u6570\u636e\u4ed3\u5e93\u4e2d\u3002<\/p>\n<\/li>\n<li>\n<p><strong>ELT\uff08\u63d0\u53d6\u3001\u52a0\u8f7d\u3001\u8f6c\u6362\uff09\u7ba1\u9053\uff1a<\/strong> \u4e0e ETL \u7c7b\u4f3c\uff0c\u4f46\u8f6c\u6362\u6b65\u9aa4\u53d1\u751f\u5728\u6570\u636e\u52a0\u8f7d\u5230\u76ee\u6807\u4e4b\u540e\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u8fc1\u79fb\u7ba1\u9053\uff1a<\/strong> \u7528\u4e8e\u6570\u636e\u8fc1\u79fb\u9879\u76ee\u4e2d\u4e0d\u540c\u7cfb\u7edf\u6216\u5e73\u53f0\u4e4b\u95f4\u7684\u6570\u636e\u4f20\u8f93\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u673a\u5668\u5b66\u4e60\u7ba1\u9053\uff1a<\/strong> 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ML \u6a21\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u6570\u636e\u7ba1\u9053\u7684\u4f7f\u7528\u65b9\u6cd5\u3001\u95ee\u9898\u4ee5\u53ca\u4e0e\u4f7f\u7528\u76f8\u5173\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/h2>\n<p>\u6570\u636e\u7ba1\u9053\u6709\u591a\u79cd\u7528\u9014\uff0c\u5bf9\u4e8e\u5404\u79cd\u5e94\u7528\u7a0b\u5e8f\u81f3\u5173\u91cd\u8981\u3002\u4e00\u4e9b\u5e38\u89c1\u7684\u7528\u4f8b\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u5546\u4e1a\u667a\u80fd\uff1a<\/strong> \u6570\u636e\u7ba1\u9053\u6709\u52a9\u4e8e\u6536\u96c6\u548c\u5904\u7406\u6570\u636e\u4ee5\u7528\u4e8e\u5546\u4e1a\u667a\u80fd\u548c\u51b3\u7b56\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5b9e\u65f6\u5206\u6790\uff1a<\/strong> \u6d41\u6570\u636e\u7ba1\u9053\u53ef\u4ee5\u4e3a\u91d1\u878d\u548c\u7269\u8054\u7f51\u7b49\u884c\u4e1a\u63d0\u4f9b\u5b9e\u65f6\u5206\u6790\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u4ed3\u50a8\uff1a<\/strong> ETL\/ELT \u7ba1\u9053\u5c06\u6570\u636e\u52a0\u8f7d\u5230\u6570\u636e\u4ed3\u5e93\u4e2d\u4ee5\u8fdb\u884c\u9ad8\u6548\u67e5\u8be2\u548c\u62a5\u544a\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u6574\u5408\uff1a<\/strong> \u6570\u636e\u7ba1\u9053\u96c6\u6210\u6765\u81ea\u4e0d\u540c\u6765\u6e90\u7684\u6570\u636e\uff0c\u96c6\u4e2d\u4fe1\u606f\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u5907\u4efd\u4e0e\u6062\u590d\uff1a<\/strong> \u7ba1\u9053\u53ef\u7528\u4e8e\u521b\u5efa\u6570\u636e\u5907\u4efd\u5e76\u4fc3\u8fdb\u707e\u96be\u6062\u590d\u3002<\/p>\n<\/li>\n<\/ol>\n<h3>\u6311\u6218\u548c\u89e3\u51b3\u65b9\u6848\uff1a<\/h3>\n<p>\u867d\u7136\u6570\u636e\u7ba1\u9053\u5177\u6709\u663e\u7740\u7684\u4f18\u52bf\uff0c\u4f46\u5b83\u4eec\u4e5f\u9762\u4e34\u7740\u4e00\u4e9b\u6311\u6218\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u6570\u636e\u5b89\u5168\uff1a<\/strong> \u786e\u4fdd\u6570\u636e\u4f20\u8f93\u548c\u5b58\u50a8\u8fc7\u7a0b\u4e2d\u7684\u9690\u79c1\u548c\u5b89\u5168\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u8d28\u91cf\uff1a<\/strong> \u5904\u7406\u6570\u636e\u4e0d\u4e00\u81f4\u5e76\u786e\u4fdd\u9ad8\u6570\u636e\u8d28\u91cf\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u5ef6\u8fdf\uff1a<\/strong> \u89e3\u51b3\u6570\u636e\u5904\u7406\u548c\u4ea4\u4ed8\u4e2d\u7684\u5ef6\u8fdf\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u53ef\u6269\u5c55\u6027\uff1a<\/strong> \u786e\u4fdd\u7ba1\u9053\u80fd\u591f\u5904\u7406\u4e0d\u65ad\u589e\u52a0\u7684\u6570\u636e\u91cf\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u8fd9\u4e9b\u6311\u6218\u7684\u89e3\u51b3\u65b9\u6848\u5305\u62ec\u5f3a\u5927\u7684\u52a0\u5bc6\u3001\u6570\u636e\u9a8c\u8bc1\u3001\u76d1\u63a7\u548c\u91c7\u7528\u53ef\u6269\u5c55\u7684\u57fa\u7840\u8bbe\u65bd\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>\u4ee5\u4e0b\u662f\u6570\u636e\u7ba1\u9053\u548c\u7c7b\u4f3c\u672f\u8bed\u4e4b\u95f4\u7684\u6bd4\u8f83\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u65b9\u9762<\/th>\n<th>\u6570\u636e\u7ba1\u9053<\/th>\n<th>ETL<\/th>\n<th>\u82f1\u8bed\u8bed\u8a00\u57f9\u8bad<\/th>\n<th>\u6570\u636e\u6574\u5408<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u52a0\u5de5\u65b9\u5f0f<\/td>\n<td>\u6279\u91cf\u6216\u6d41\u5f0f\u4f20\u8f93<\/td>\n<td>\u6279<\/td>\n<td>\u6279<\/td>\n<td>\u6279\u91cf\u6216\u5b9e\u65f6<\/td>\n<\/tr>\n<tr>\n<td>\u8f6c\u578b\u65f6\u673a<\/td>\n<td>\u671f\u95f4\u6216\u4e4b\u540e<\/td>\n<td>\u671f\u95f4<\/td>\n<td>\u540e<\/td>\n<td>\u671f\u95f4\u6216\u4e4b\u540e<\/td>\n<\/tr>\n<tr>\n<td>\u4f7f\u7528\u6848\u4f8b<\/td>\n<td>\u6570\u636e\u79fb\u52a8<\/td>\n<td>\u6570\u636e\u4ed3\u5e93<\/td>\n<td>\u6570\u636e\u4ed3\u5e93<\/td>\n<td>\u6570\u636e\u6574\u5408<\/td>\n<\/tr>\n<tr>\n<td>\u6570\u636e\u5904\u7406\u590d\u6742\u6027<\/td>\n<td>\u4e2d\u5230\u9ad8<\/td>\n<td>\u9ad8\u7684<\/td>\n<td>\u4f4e\u7684<\/td>\n<td>\u4e2d\u5230\u9ad8<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u4e0e\u6570\u636e\u7ba1\u9053\u76f8\u5173\u7684\u672a\u6765\u524d\u666f\u548c\u6280\u672f\u3002<\/h2>\n<p>\u968f\u7740\u6280\u672f\u7684\u4e0d\u65ad\u8fdb\u6b65\uff0c\u6570\u636e\u7ba1\u9053\u7684\u672a\u6765\u5145\u6ee1\u5e0c\u671b\u3002\u4e00\u4e9b\u89c2\u70b9\u548c\u65b0\u5174\u6280\u672f\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u81ea\u52a8\u5316\u6570\u636e\u7ba1\u9053\uff1a<\/strong> 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\u963b\u6b62\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u9690\u79c1\u548c\u533f\u540d\uff1a<\/strong> \u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5728\u6570\u636e\u6444\u53d6\u6216\u4f20\u8f93\u8fc7\u7a0b\u4e2d\u589e\u5f3a\u6570\u636e\u9690\u79c1\u548c\u533f\u540d\u6027\uff0c\u4ece\u800c\u786e\u4fdd\u673a\u5bc6\u6027\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8d1f\u8f7d\u5747\u8861\uff1a<\/strong> \u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5c06\u6570\u636e\u5904\u7406\u4efb\u52a1\u5206\u5e03\u5728\u591a\u4e2a\u540e\u7aef\u670d\u52a1\u5668\u4e0a\uff0c\u4ece\u800c\u63d0\u9ad8\u7ba1\u9053\u6027\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u5b89\u5168\uff1a<\/strong> \u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5145\u5f53\u9632\u706b\u5899\uff0c\u4fdd\u62a4\u6570\u636e\u7ba1\u9053\u514d\u53d7\u672a\u7ecf\u6388\u6743\u7684\u8bbf\u95ee\u548c\u6f5c\u5728\u7684\u653b\u51fb\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u76f8\u5173\u94fe\u63a5<\/h2>\n<p>\u6709\u5173\u6570\u636e\u7ba1\u9053\u7684\u66f4\u591a\u4fe1\u606f\uff0c\u60a8\u53ef\u4ee5\u6d4f\u89c8\u4ee5\u4e0b\u8d44\u6e90\uff1a<\/p>\n<ol>\n<li><a href=\"https:\/\/www.oreilly.com\/library\/view\/data-engineering\/9781491919382\/ch04.html\" target=\"_new\" rel=\"noopener nofollow\">\u6570\u636e\u5de5\u7a0b\uff1a\u6570\u636e\u7ba1\u9053\u6846\u67b6<\/a><\/li>\n<li><a href=\"https:\/\/airflow.apache.org\/\" target=\"_new\" rel=\"noopener nofollow\">Apache \u6c14\u6d41\u6587\u6863<\/a><\/li>\n<li><a href=\"https:\/\/streamsets.com\/documentation\/\" target=\"_new\" rel=\"noopener nofollow\">StreamSets \u6559\u7a0b<\/a><\/li>\n<li><a href=\"https:\/\/aws.amazon.com\/datapipeline\/\" target=\"_new\" rel=\"noopener nofollow\">AWS \u6570\u636e\u7ba1\u9053\u6982\u8ff0<\/a><\/li>\n<li><a href=\"https:\/\/cloud.google.com\/dataflow\/docs\" target=\"_new\" rel=\"noopener nofollow\">Google Cloud \u6570\u636e\u6d41\u6587\u6863<\/a><\/li>\n<\/ol>\n<p>\u603b\u4e4b\uff0c\u6570\u636e\u7ba1\u9053\u662f\u6570\u636e\u9a71\u52a8\u7ec4\u7ec7\u7684\u652f\u67f1\uff0c\u53ef\u5b9e\u73b0\u9ad8\u6548\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002\u5b83\u4eec\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u4e0d\u65ad\u53d1\u5c55\uff0c\u968f\u7740\u81ea\u52a8\u5316\u548c\u65b0\u5174\u6280\u672f\u7684\u8fdb\u6b65\uff0c\u5b83\u4eec\u7684\u672a\u6765\u770b\u8d77\u6765\u5145\u6ee1\u5e0c\u671b\u3002\u901a\u8fc7\u5c06\u4ee3\u7406\u670d\u52a1\u5668\u5408\u5e76\u5230\u6570\u636e\u7ba1\u9053\u4e2d\uff0c\u7ec4\u7ec7\u53ef\u4ee5\u8fdb\u4e00\u6b65\u589e\u5f3a\u6570\u636e\u9690\u79c1\u3001\u5b89\u5168\u6027\u548c\u53ef\u6269\u5c55\u6027\u3002\u968f\u7740\u6570\u636e\u7684\u91cd\u8981\u6027\u4e0d\u65ad\u589e\u957f\uff0c\u6570\u636e\u7ba1\u9053\u4ecd\u5c06\u662f\u505a\u51fa\u660e\u667a\u51b3\u7b56\u548c\u4ece\u5927\u91cf\u4fe1\u606f\u4e2d\u83b7\u5f97\u6709\u4ef7\u503c\u89c1\u89e3\u7684\u5173\u952e\u5de5\u5177\u3002<\/p>","protected":false},"featured_media":468130,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476681","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Data Pipelines: A Comprehensive Overview<\/mark>","faq_items":[{"question":"What are data pipelines, and why are they important?","answer":"<p>Data pipelines are a series of processes and technologies that facilitate the smooth flow of data from various sources to its intended destination. They play a crucial role in modern data-driven organizations, enabling efficient data processing, analytics, and informed decision-making based on valuable insights.<\/p>"},{"question":"How did data pipelines originate, and where were they first mentioned?","answer":"<p>The concept of data pipelines evolved with the growth of information technology and the increasing demand for efficient data processing. While the exact origin is difficult to pinpoint, data pipelines can be traced back to the early days of data integration and ETL (Extract, Transform, Load) processes in the 1960s.<\/p>"},{"question":"What are the key features of data pipelines?","answer":"<p>Data pipelines offer several key features, including scalability to handle vast amounts of data, reliability in data transfer, flexibility to work with various data formats, real-time processing for timely insights, and data quality management to ensure high data integrity.<\/p>"},{"question":"What are the different types of data pipelines?","answer":"<p>There are various types of data pipelines based on their deployment, data processing approach, and use case. Some common types include batch data pipelines, streaming data pipelines, ETL pipelines, ELT pipelines, data migration pipelines, and machine learning pipelines.<\/p>"},{"question":"How are proxy servers associated with data pipelines?","answer":"<p>Proxy servers can be used in data pipelines as intermediaries between data sources and destinations. They facilitate data scraping, enhance data privacy and anonymity, help with load balancing, and add an extra layer of data security.<\/p>"},{"question":"What are the challenges faced in using data pipelines, and how can they be addressed?","answer":"<p>Some challenges in using data pipelines include data security, data quality issues, data latency, and scalability concerns. These challenges can be addressed by implementing robust encryption, data validation mechanisms, monitoring tools, and adopting scalable infrastructure.<\/p>"},{"question":"What technologies and trends can we expect in the future of data pipelines?","answer":"<p>The future of data pipelines looks promising with ongoing advancements in technology. Expect to see increased automation, serverless architectures, blockchain-based data pipelines, real-time data integration, and the integration of DataOps and MLOps practices for better collaboration and efficiency.<\/p>"},{"question":"Where can I find more resources and information about data pipelines?","answer":"<p>For more information about data pipelines, you can explore resources such as the Apache Airflow documentation, StreamSets tutorials, AWS Data Pipeline overview, Google Cloud Dataflow documentation, and the book \"Data Engineering: The Data Pipeline Framework.\" Get started on your data-driven journey today!   #DataPipelines #ProxyServers #DataDrivenInsights<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/476681","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\/476681\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media\/468130"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=476681"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}