{"id":1316,"date":"2016-01-25T11:18:25","date_gmt":"2016-01-25T11:18:25","guid":{"rendered":"http:\/\/localhost\/blog\/?p=1316"},"modified":"2018-08-29T08:37:43","modified_gmt":"2018-08-29T08:37:43","slug":"mistakes-using-big-data","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/ja\/mistakes-using-big-data\/","title":{"rendered":"\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u5229\u7528\u3059\u308b\u969b\u306b\u907f\u3051\u308b\u3079\u304d5\u3064\u306e\u5927\u304d\u306a\u9593\u9055\u3044"},"content":{"rendered":"<p>\u30d3\u30b8\u30cd\u30b9\u3092\u6210\u9577\u3055\u305b\u308b\u305f\u3081\u306b\u3001\u3069\u306e\u3088\u3046\u306b\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u5229\u7528\u3059\u308c\u3070\u3088\u3044\u304b\u3092\u8003\u3048\u3066\u3044\u307e\u3059\u304b\uff1f\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u6d41\u884c\u306b\u4e57\u308a\u9045\u308c\u306a\u3044\u3088\u3046\u306b\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3069\u3093\u306a\u306b\u512a\u308c\u305f\u6280\u8853\u3084\u30b7\u30b9\u30c6\u30e0\u3067\u3082\u3001\u9069\u5207\u306b\u5c0e\u5165\u3055\u308c\u306a\u3051\u308c\u3070\u5931\u6557\u3057\u307e\u3059\u3002 <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/data-analysis?utm_source=Blog_BigData\">\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u5c02\u9580\u5bb6<\/a> \u305d\u306e\u305f\u3081\u306b\u3001\u3044\u304f\u3064\u304b\u306e\u91cd\u8981\u306a\u30dd\u30a4\u30f3\u30c8\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<p>\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u6271\u3046\u969b\u306b\u5fc3\u306b\u7559\u3081\u3066\u304a\u304f\u3079\u304d\u91cd\u8981\u306a\u30dd\u30a4\u30f3\u30c8\u3092\u4ee5\u4e0b\u306b\u307e\u3068\u3081\u3066\u307f\u307e\u3057\u305f\u3002\u3053\u306e5\u3064\u306e\u5927\u304d\u306a\u9593\u9055\u3044\u3092\u907f\u3051\u308b\u3053\u3068\u3067\u3001\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3067\u306e\u5931\u6557\u3092\u907f\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>1. <strong>\u9593\u9055\u3063\u305f\u60c5\u5831\u6e90\u3092\u9078\u3093\u3067\u3057\u307e\u3063\u305f\u3002<\/strong> \u8aa4\u3063\u305f\u30bd\u30fc\u30b9\u306b\u6ce8\u76ee\u3059\u308b\u3068\u3001\u5927\u304d\u306a\u8aa4\u89e3\u3084\u8aa4\u3063\u305f\u7d50\u8ad6\u3092\u62db\u304f\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306f\u3001Web\u30b5\u30a4\u30c8\u306e\u5206\u6790\u7d50\u679c\u3001\u30bd\u30fc\u30b7\u30e3\u30eb\u30e1\u30c7\u30a3\u30a2\u306e\u30c7\u30fc\u30bf\u3001\u30bb\u30f3\u30b5\u30fc\u30c7\u30fc\u30bf\u3001\u6a5f\u68b0\u306e\u30ed\u30b0\u30c7\u30fc\u30bf\u3001\u30e1\u30c7\u30a3\u30a2\u3001\u30d3\u30b8\u30cd\u30b9\u30a2\u30d7\u30ea\u3001\u305d\u3057\u3066\u3082\u3061\u308d\u3093\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a\u30bd\u30fc\u30b9\u304b\u3089\u53ce\u96c6\u3055\u308c\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u3053\u306e\u30c7\u30fc\u30bf\u306e\u6d77\u306b\u6eba\u308c\u3066\u3057\u307e\u3046\u3053\u3068\u3082\u3042\u308a\u307e\u3059\u3002\u3088\u304f\u3042\u308b\u9593\u9055\u3044\u306e\u4e00\u3064\u306f\u3001\u7c21\u5358\u306b\u5165\u624b\u3067\u304d\u3066\u3001\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u306e\u5fc5\u8981\u304c\u306a\u3044\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u9078\u3093\u3067\u3057\u307e\u3046\u3053\u3068\u3067\u3059\u3002\u3057\u304b\u3057\u3001\u305f\u3068\u3048\u305d\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u591a\u304f\u306e\u8abf\u67fb\u3084\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3092\u5fc5\u8981\u3068\u3059\u308b\u3082\u306e\u3067\u3042\u3063\u3066\u3082\u3001\u4f55\u3092\u89e3\u6c7a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u306e\u304b\u306b\u5fdc\u3058\u3066\u3001\u9069\u5207\u306a\u30bd\u30fc\u30b9\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u975e\u5e38\u306b\u91cd\u8981\u3067\u3059\u3002\u3053\u306e\u3053\u3068\u306f\u3001\u6b21\u306e\u91cd\u8981\u306a\u70b9\u306b\u3082\u3064\u306a\u304c\u308a\u307e\u3059\u3002<\/p>\n<p>2. <strong>\u76ee\u6a19\u3092\u660e\u78ba\u306b\u3057\u3066\u3044\u306a\u3044\u3002<\/strong> \u30c7\u30fc\u30bf\u30bd\u30fc\u30b9\u306b\u76ee\u3092\u901a\u3059\u524d\u306b\u3001\u81ea\u5206\u304c\u4f55\u3092\u6c42\u3081\u3066\u3044\u308b\u306e\u304b\u3092\u660e\u78ba\u306b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u4f55\u3092\u89e3\u6c7a\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u308b\u306e\u304b\u304c\u660e\u78ba\u3067\u306a\u3051\u308c\u3070\u3001\u9069\u5207\u306a\u30ea\u30bd\u30fc\u30b9\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002\u76ee\u7684\u304c\u306f\u3063\u304d\u308a\u3057\u3066\u3044\u306a\u3044\u3068\u3001\u3069\u3046\u3057\u3066\u3082\u7c21\u5358\u306b\u624b\u306b\u5165\u308b\u30c7\u30fc\u30bf\u3092\u4f7f\u3044\u304c\u3061\u306b\u306a\u308a\u307e\u3059\u3002\u305d\u306e\u7d50\u679c\u3001\u81a8\u5927\u306a\u91cf\u306e\u30c7\u30fc\u30bf\u306e\u4e2d\u3092\u76ee\u7684\u3082\u306a\u304f\u6cf3\u3050\u3053\u3068\u306b\u306a\u308a\u3001\u5177\u4f53\u7684\u306a\u6210\u679c\u304c\u5f97\u3089\u308c\u306a\u304f\u306a\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u3002<\/p>\n<p><a href=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image.png\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-959 size-full\" src=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image.png\" alt=\"\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u30a4\u30e1\u30fc\u30b8\" width=\"2267\" height=\"1147\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image.png 2267w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-300x152.png 300w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-1024x518.png 1024w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-768x389.png 768w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-1536x777.png 1536w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-2048x1036.png 2048w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-1080x546.png 1080w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-474x240.png 474w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-164x82.png 164w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-300x152@2x.png 600w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-474x240@2x.png 948w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image-164x82@2x.png 328w\" sizes=\"(max-width: 2267px) 100vw, 2267px\" \/><\/a><\/p>\n<p>3. <strong>\u30c7\u30fc\u30bf\u54c1\u8cea\u3092\u7121\u8996\u3057\u3066\u3044\u308b\u3002<\/strong> 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<strong>\u30c7\u30fc\u30bf\u3092\u5206\u985e\u3057\u3066\u3044\u306a\u3044\u3002<\/strong> 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<strong>\u30af\u30e9\u30a6\u30c9\u306b\u79fb\u884c\u3057\u306a\u3044<\/strong> 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<a title=\"\u30c7\u30fc\u30bf\u5206\u6790\u306e\u30d5\u30ea\u30fc\u30e9\u30f3\u30b5\u30fc\u3092\u96c7\u3046\" href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/data-analysis?utm_source=Blog_BigData\">\u7d4c\u9a13\u8c4a\u5bcc\u306a\u30c7\u30fc\u30bf\u5206\u6790\u5c02\u9580\u5bb6\u306e\u63a1\u7528<\/a> \u3053\u308c\u306b\u3088\u308a\u3001\u6700\u521d\u304b\u3089\u3053\u306e\u3088\u3046\u306a\u5931\u6557\u3092\u907f\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>Trying to figure out how you can employ Big Data to grow your business? Make sure you\u2019re not jumping onto the Big Data bandwagon unprepared. The best of technologies and systems can fail if not implemented properly. Big data experts shed light on a few critical aspects to look out for. We\u2019ve tried to enlist some important pointers below that you need to keep in mind while dealing with Big Data. Avoiding these five big mistakes will help you avoid some Big Data blunders. 1. Choosing the wrong sources: Focusing on the wrong source can lead to huge misunderstandings and wrong conclusions. Big Data can be garnered from a multitude<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/ja\/mistakes-using-big-data\/\" title=\"\u7d9a\u304d\u3092\u8aad\u3080\">\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/div>","protected":false},"author":4,"featured_media":959,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[398,433],"tags":[119,18,175,72,325,174],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Five big mistakes to avoid while using Big Data<\/title>\n<meta name=\"description\" content=\"Avoid these five major mistakes that are commonly made while using Big Data.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/ja\/mistakes-using-big-data\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Five big mistakes to avoid while using Big Data\" \/>\n<meta property=\"og:description\" content=\"Avoid these five major mistakes that are commonly made while using Big Data.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/ja\/mistakes-using-big-data\/\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2016-01-25T11:18:25+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2018-08-29T08:37:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2267\" \/>\n\t<meta property=\"og:image:height\" content=\"1147\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Minhaj Rais\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Minhaj Rais\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"3\u5206\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Five big mistakes to avoid while using Big Data","description":"Avoid these five major mistakes that are commonly made while using Big Data.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.kolabtree.com\/blog\/ja\/mistakes-using-big-data\/","og_locale":"ja_JP","og_type":"article","og_title":"Five big mistakes to avoid while using Big Data","og_description":"Avoid these five major mistakes that are commonly made while using Big Data.","og_url":"https:\/\/www.kolabtree.com\/blog\/ja\/mistakes-using-big-data\/","og_site_name":"The Kolabtree Blog","article_publisher":"https:\/\/www.facebook.com\/kolabtree","article_published_time":"2016-01-25T11:18:25+00:00","article_modified_time":"2018-08-29T08:37:43+00:00","og_image":[{"width":2267,"height":1147,"url":"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2015\/07\/Big-data-image.png","type":"image\/png"}],"author":"Minhaj Rais","twitter_card":"summary_large_image","twitter_creator":"@kolabtree","twitter_site":"@kolabtree","twitter_misc":{"\u57f7\u7b46\u8005":"Minhaj Rais","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"3\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.kolabtree.com\/blog\/fr\/mistakes-using-big-data\/#article","isPartOf":{"@id":"https:\/\/www.kolabtree.com\/blog\/fr\/mistakes-using-big-data\/"},"author":{"name":"Minhaj Rais","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/person\/c221d0fe6368ffe0093225eba39ea307"},"headline":"Five big mistakes to avoid while using Big Data","datePublished":"2016-01-25T11:18:25+00:00","dateModified":"2018-08-29T08:37:43+00:00","mainEntityOfPage":{"@id":"https:\/\/www.kolabtree.com\/blog\/fr\/mistakes-using-big-data\/"},"wordCount":574,"commentCount":0,"publisher":{"@id":"https:\/\/www.kolabtree.com\/blog\/#organization"},"keywords":["Big Data","Data Analysis","Data Science","Data Science &amp; 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