{"id":476012,"date":"2023-08-09T07:25:33","date_gmt":"2023-08-09T07:25:33","guid":{"rendered":""},"modified":"2023-09-05T11:11:50","modified_gmt":"2023-09-05T11:11:50","slug":"big-data-analytics","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/kr\/wiki\/big-data-analytics\/","title":{"rendered":"\ube45\ub370\uc774\ud130 \ubd84\uc11d"},"content":{"rendered":"<p>\ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc740 \ub2e4\uc591\ud55c \uc18c\uc2a4\uc5d0\uc11c \ud14c\ub77c\ubc14\uc774\ud2b8\uc5d0\uc11c \uc81c\ud0c0\ubc14\uc774\ud2b8\uae4c\uc9c0 \ub2e4\uc591\ud55c \ud06c\uae30\ub85c \uc81c\uacf5\ub418\ub294 \uc815\ud615, \ubc18\uc815\ud615, \ube44\uc815\ud615 \ub370\uc774\ud130 \ub4f1 \ub2e4\uc591\ud55c \uc885\ub958\ub85c \uad6c\uc131\ub41c \ub9e4\uc6b0 \ud06c\uace0 \ub2e4\uc591\ud55c \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud55c \uace0\uae09 \ubd84\uc11d \uae30\uc220\uc744 \uc0ac\uc6a9\ud558\ub294 \ud504\ub85c\uc138\uc2a4\uc785\ub2c8\ub2e4.<\/p>\n<h2>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc758 \ud0c4\uc0dd\uacfc \uc9c4\ud654<\/h2>\n<p>\ube45\ub370\uc774\ud130\ub77c\ub294 \uc6a9\uc5b4\ub294 1990\ub144\ub300 \ucd08 \ucc98\uc74c \ub4f1\uc7a5\ud588\ub2e4. \ud558\uc9c0\ub9cc \uc774 \uc6a9\uc5b4\uac00 \ub110\ub9ac \uc0ac\uc6a9\ub418\uace0 \uc774\ud574\ub418\uae30 \uc2dc\uc791\ud55c \uac83\uc740 2000\ub144\ub300 \ucd08\ubc18\uc774 \ub418\uc5b4\uc11c\uc600\uc2b5\ub2c8\ub2e4. \uc778\ud130\ub137\uc774 \ud655\uc7a5\ub418\uace0 \uc870\uc9c1\uc774 \ub354 \ub9ce\uc740 \ub370\uc774\ud130\ub97c \uc885\uc774\uac00 \uc544\ub2cc \ub514\uc9c0\ud138 \ubc29\uc2dd\uc73c\ub85c \uc800\uc7a5\ud558\uae30 \uc2dc\uc791\ud558\uba74\uc11c \uc774 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ucd94\uc138, \uc608\uce21 \ubc0f \ud1b5\ucc30\ub825\uc744 \uc5bb\ub294 \uac1c\ub150\uc774 \ub5a0\uc624\ub974\uac8c \ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc774\ub77c\ub294 \uac1c\ub150\uc740 2000\ub144\ub300 \uc911\ubc18 &quot;\uc6f9 2.0&quot;\uc758 \ucd9c\ud604\uacfc \ud568\uaed8 \uc8fc\ubaa9\uc744 \ub04c\uc5c8\uc2b5\ub2c8\ub2e4. \uc6f9 2.0\uc5d0\uc11c\ub294 \uc0ac\uc6a9\uc790 \uc0dd\uc131 \ucf58\ud150\uce20\uac00 \ub370\uc774\ud130\uc758 \uae30\ud558\uae09\uc218\uc801\uc778 \uc99d\uac00\ub85c \uc774\uc5b4\uc84c\uc2b5\ub2c8\ub2e4. \ub2e8\uc21c\ud55c \uc628\ub77c\uc778 \uc874\uc7ac\uc5d0\uc11c \ub300\ud654\ud615 \ud50c\ub7ab\ud3fc\uc73c\ub85c\uc758 \uc804\ud658\uc740 \ubc29\ub300\ud55c \uc591\uc758 \ub370\uc774\ud130 \uc0dd\uc131\uc744 \ucd09\ubc1c\uc2dc\ucf30\uc73c\uba70, \uc774 \ub370\uc774\ud130 \ud480\uc5d0\uc11c \uadc0\uc911\ud55c \ud1b5\ucc30\ub825\uc744 \ucd94\ucd9c\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \uc0c8\ub85c\uc6b4 \ubc29\ubc95\uc774 \ud544\uc694\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0 \ub300\ud55c \uc2ec\uce35 \ud0d0\uad6c<\/h2>\n<p>\ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc744 \ud1b5\ud574 \uc870\uc9c1\uc740 \uadc0\uc911\ud55c \ube44\uc988\ub2c8\uc2a4 \uc815\ubcf4\uc640 \ud1b5\ucc30\ub825\uc744 \ucc3e\uae30 \uc704\ud574 \uc815\ud615, \ubc18\uc815\ud615, \ube44\uc815\ud615 \ub370\uc774\ud130\ub97c \ud63c\ud569\ud558\uc5ec \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uae30\uc220\uc5d0\ub294 \ub370\uc774\ud130 \ub9c8\uc774\ub2dd, \uae30\uacc4 \ud559\uc2b5, \ud14d\uc2a4\ud2b8 \ub9c8\uc774\ub2dd, \uc608\uce21 \ubd84\uc11d \ubc0f \ud1b5\uacc4 \ubd84\uc11d\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4. Apache Hadoop, Microsoft HDInsight \ubc0f Tableau\uc640 \uac19\uc774 \ub370\uc774\ud130 \uc870\uc815, \ubd84\uc11d \ubc0f \uc2dc\uac01\ud654\ub97c \uc704\ud574 \ud2b9\ubcc4\ud788 \uc124\uacc4\ub41c \uc18c\ud504\ud2b8\uc6e8\uc5b4 \ub3c4\uad6c\ub97c \uc0ac\uc6a9\ud558\uc5ec \ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc774\ub7ec\ud55c \ub3c4\uad6c\ub97c \uc0ac\uc6a9\ud558\uba74 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uad00\ub9ac \uac00\ub2a5\ud55c \ub2e8\uc704\ub85c \ubd84\ud560\ud558\uc5ec \ucd94\uc138, \ud328\ud134 \ubc0f \uc0c1\uad00 \uad00\uacc4(\uc608: \uc2dc\uc7a5 \ub3d9\ud5a5, \uace0\uac1d \uc120\ud638\ub3c4, \uc228\uaca8\uc9c4 \ud328\ud134)\ub97c \ub354 \uc27d\uac8c \uc2dd\ubcc4\ud560 \uc218 \uc788\uc73c\uba70, \uc774\ub294 \uc870\uc9c1\uc774 \ub370\uc774\ud130 \uae30\ubc18 \uc758\uc0ac \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/p>\n<h2>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc758 \ud575\uc2ec \uba54\ucee4\ub2c8\uc998<\/h2>\n<p>\ube45 \ub370\uc774\ud130 \ubd84\uc11d \ud504\ub85c\uc138\uc2a4\uc5d0\ub294 \uc5ec\ub7ec \ub2e8\uacc4\uac00 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\ub370\uc774\ud130 \uc218\uc9d1: \uc5ec\uae30\uc5d0\ub294 \uc18c\uc15c \ubbf8\ub514\uc5b4, \uc6f9 \uc11c\ubc84 \ub85c\uadf8, \ud074\ub77c\uc6b0\ub4dc \ub370\uc774\ud130 \uc18c\uc2a4, \uc0ac\ub0b4 \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \ub4f1 \ub2e4\uc591\ud55c \uc18c\uc2a4\uc5d0\uc11c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\ub294 \uc791\uc5c5\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/li>\n<li>\ub370\uc774\ud130 \ucc98\ub9ac: \uc774 \ub2e8\uacc4\uc5d0\uc11c\ub294 \uc218\uc9d1\ub41c \ub370\uc774\ud130\ub97c \ucd94\uac00 \ubd84\uc11d\uc744 \uc704\ud574 \uc815\ub9ac, \ubcc0\ud658 \ubc0f \ubd84\ub958\ud569\ub2c8\ub2e4.<\/li>\n<li>\ub370\uc774\ud130 \uc800\uc7a5: \ucc98\ub9ac\ub41c \ub370\uc774\ud130\ub294 DWH(Data Warehousing) \ub610\ub294 Hadoop\uacfc \uc720\uc0ac\ud55c \uc0dd\ud0dc\uacc4\uc5d0 \uc800\uc7a5\ub429\ub2c8\ub2e4.<\/li>\n<li>\ub370\uc774\ud130 \ubd84\uc11d: \ucc98\ub9ac\ub41c \ub370\uc774\ud130\ub294 \ub2e4\uc591\ud55c \ubd84\uc11d \ubaa8\ub378\uacfc \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubd84\uc11d\ub418\uc5b4 \uc720\uc6a9\ud55c \ud1b5\ucc30\ub825\uc744 \ucd94\ucd9c\ud569\ub2c8\ub2e4.<\/li>\n<li>\ub370\uc774\ud130 \uc2dc\uac01\ud654: \ubd84\uc11d \uacb0\uacfc\ub294 \ub2e4\uc591\ud55c \uadf8\ub798\ud53d \ub3c4\uad6c\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2dc\uac01\ud654\ub418\uc5b4 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130\ub97c \uc2dc\uac01\uc801\uc73c\ub85c \ud574\uc11d\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n<h2>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc758 \ud2b9\uc9d5<\/h2>\n<p>\ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uba87 \uac00\uc9c0 \ub3c5\ud2b9\ud55c \uae30\ub2a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\ubcfc\ub968(Volume): \ub9e4\ucd08 \uc0dd\uc131\ub418\ub294 \ubc29\ub300\ud55c \uc591\uc758 \ub370\uc774\ud130\ub97c \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/li>\n<li>\uc18d\ub3c4(Velocity): \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\uac00 \uc0dd\uc131\ub418\ub294 \uc18d\ub3c4\uc640 \ub370\uc774\ud130\uac00 \uc774\ub3d9\ud558\ub294 \uc18d\ub3c4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/li>\n<li>\ub2e4\uc591\uc131: \ud604\uc7ac \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ub2e4\uc591\ud55c \uc720\ud615\uc758 \ub370\uc774\ud130\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/li>\n<li>\uc9c4\uc2e4\uc131: \ub370\uc774\ud130\uc758 \uc9c0\uc800\ubd84\ud568\uc774\ub098 \uc2e0\ub8b0\uc131.<\/li>\n<li>\uac00\uce58: \ub370\uc774\ud130\ub97c \uac00\uce58\ub85c \ubc14\uafb8\ub294 \ub2a5\ub825.<\/li>\n<\/ul>\n<h2>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc758 \uc720\ud615<\/h2>\n<p>\ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0\ub294 \ub124 \uac00\uc9c0 \uae30\ubcf8 \uc720\ud615\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\uae30\uc220 \ubd84\uc11d: \uc774 \uc720\ud615\uc740 \uacfc\uac70 \uc131\uacfc\ub97c \uc0b4\ud3b4\ubcf4\uace0 \uc2dc\uac04\uc774 \uc9c0\ub0a8\uc5d0 \ub530\ub77c \ud68c\uc0ac\uc758 \uc131\uacfc\ub97c \uc774\ud574\ud569\ub2c8\ub2e4.<\/li>\n<li>\uc9c4\ub2e8 \ubd84\uc11d: \uc774 \uc720\ud615\uc740 \ud2b9\uc815 \uc77c\uc774 \ubc1c\uc0dd\ud55c \uc774\uc720\uc5d0 \ub300\ud55c \uc9c8\ubb38\uc5d0 \ub2f5\ud558\uae30 \uc704\ud574 \ub370\uc774\ud130\ub098 \ucf58\ud150\uce20\ub97c \uac80\uc0ac\ud569\ub2c8\ub2e4.<\/li>\n<li>\uc608\uce21 \ubd84\uc11d: \uc774 \uc720\ud615\uc740 \ucd94\uc138 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ud5a5\ud6c4 \uacb0\uacfc\uc758 \uac00\ub2a5\uc131\uc744 \ud3c9\uac00\ud569\ub2c8\ub2e4.<\/li>\n<li>\ucc98\ubc29\uc801 \ubd84\uc11d: \uc774 \uc720\ud615\uc740 \uacfc\uac70 \uc131\ub2a5\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud5a5\ud6c4 \uc720\uc0ac\ud55c \uc0c1\ud669\uc744 \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uad8c\uc7a5 \uc0ac\ud56d\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n<h2>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc758 \ud65c\uc6a9, \ubb38\uc81c\uc810 \ubc0f \ud574\uacb0\ubc29\uc548<\/h2>\n<p>\ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc740 \uc18c\ub9e4\ubd80\ud130 \uc758\ub8cc, \uc81c\uc870, \uae08\uc735 \uc11c\ube44\uc2a4\uae4c\uc9c0 \uc0b0\uc5c5 \uc804\ubc18\uc5d0\uc11c \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e4\uc591\ud55c \ubaa9\uc801\uc73c\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\uc608\uce21 \ubc0f \ucc98\ubc29 \ubd84\uc11d<\/li>\n<li>\uc704\ud5d8 \uad00\ub9ac \ubc0f \uc0ac\uae30 \ud0d0\uc9c0<\/li>\n<li>\uace0\uac1d \uacbd\ud5d8 \uad00\ub9ac<\/li>\n<li>\uc6b4\uc601 \ubd84\uc11d<\/li>\n<\/ul>\n<p>\uadf8\ub7ec\ub098 \ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0\ub294 \ub370\uc774\ud130 \uac1c\uc778 \uc815\ubcf4 \ubcf4\ud638 \ubc0f \ubcf4\uc548 \ubb38\uc81c, \ub370\uc774\ud130 \ud488\uc9c8 \ubc0f \uc815\ud655\uc131 \ubb38\uc81c, \ud655\uc7a5 \uac00\ub2a5\ud55c \uc800\uc7a5 \ubc0f \ucc98\ub9ac \ub2a5\ub825\uc758 \ud544\uc694\uc131 \ub4f1\uc758 \ubb38\uc81c\uac00 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 \uc870\uc9c1\uc740 \uac15\ub825\ud55c \ubcf4\uc548 \ud504\ub85c\ud1a0\ucf5c\uc744 \uad6c\ud604\ud558\uace0, \ub370\uc774\ud130 \uc815\ub9ac \ub3c4\uad6c\uc5d0 \ud22c\uc790\ud558\uace0, \uc2a4\ud1a0\ub9ac\uc9c0 \ubc0f \ucef4\ud4e8\ud305\uc744 \uc704\ud55c \ud074\ub77c\uc6b0\ub4dc \uae30\ubc18 \uc194\ub8e8\uc158\uc744 \ud65c\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<h2>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc744 \uc720\uc0ac\ud55c \uac1c\ub150\uacfc \ube44\uad50<\/h2>\n<p>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc744 \uae30\uc874 \ub370\uc774\ud130 \ubd84\uc11d\uacfc \ube44\uad50\ud558\uba74 \ub370\uc774\ud130 \ubcfc\ub968, \ucc98\ub9ac \uc18d\ub3c4, \uc218\uc9d1\ud560 \uc218 \uc788\ub294 \ud1b5\ucc30\ub825 \uc720\ud615 \uce21\uba74\uc5d0\uc11c \ucc28\uc774\ub97c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<table>\n<thead>\n<tr>\n<th><\/th>\n<th>\uc804\ud1b5\uc801\uc778 \ub370\uc774\ud130 \ubd84\uc11d<\/th>\n<th>\ube45\ub370\uc774\ud130 \ubd84\uc11d<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\ub370\uc774\ud130 \ubcfc\ub968<\/td>\n<td>\ub354 \uc791\uc740 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ucc98\ub9ac\ud569\ub2c8\ub2e4.<\/td>\n<td>\ud06c\uace0 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ucc98\ub9ac\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\ucc98\ub9ac \uc18d\ub3c4<\/td>\n<td>\ub290\ub9b0 \uc77c\uad04 \ucc98\ub9ac<\/td>\n<td>\uc2e4\uc2dc\uac04 \ub610\ub294 \uac70\uc758 \uc2e4\uc2dc\uac04 \ucc98\ub9ac<\/td>\n<\/tr>\n<tr>\n<td>\ud1b5\ucc30\ub825<\/td>\n<td>\uc124\uba85\uc801 \ud1b5\ucc30\ub825<\/td>\n<td>\uc608\uce21 \ubc0f \ucc98\ubc29\uc801 \ud1b5\ucc30\ub825<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc758 \ubbf8\ub798 \uc804\ub9dd\uacfc \uae30\uc220<\/h2>\n<p>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc758 \ubbf8\ub798 \ubc1c\uc804\uc740 \uc778\uacf5\uc9c0\ub2a5(AI), \uba38\uc2e0\ub7ec\ub2dd, \uc2e4\uc2dc\uac04 \ubd84\uc11d\uacfc \uae34\ubc00\ud558\uac8c \uc5f0\uacb0\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \uae30\uacc4 \ud559\uc2b5\uc744 \uc0ac\uc6a9\ud558\uc5ec \uad11\ubc94\uc704\ud55c \ube44\uc988\ub2c8\uc2a4 \uc0ac\uc6a9\uc790, \uc6b4\uc601 \uc791\uc5c5\uc790 \ubc0f \uc2dc\ubbfc \ub370\uc774\ud130 \uacfc\ud559\uc790\ub97c \uc704\ud55c \ub370\uc774\ud130 \uc900\ube44, \ud1b5\ucc30\ub825 \ubc1c\uacac \ubc0f \ud1b5\ucc30\ub825 \uacf5\uc720\ub97c \uc790\ub3d9\ud654\ud558\ub294 \uc99d\uac15 \ubd84\uc11d\uacfc \uac19\uc740 \uac1c\ub150\uc774 \ubbf8\ub798\uc785\ub2c8\ub2e4.<\/p>\n<p>\uc591\uc790 \ucef4\ud4e8\ud305\uc758 \uc9c4\ud654\ub294 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uac70\uc758 \uc2e4\uc2dc\uac04\uc73c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\uac8c \ud568\uc73c\ub85c\uc368 \ube45 \ub370\uc774\ud130 \ubd84\uc11d \uae30\ub2a5\uc744 \uc7ac\uc815\uc758\ud558\ub3c4\ub85d \uc124\uc815\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\ud504\ub85d\uc2dc \uc11c\ubc84 \ubc0f \ube45 \ub370\uc774\ud130 \ubd84\uc11d<\/h2>\n<p>\ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130 \uc18c\uc2a4\uc5d0 \ub300\ud55c \uc775\uba85 \uc561\uc138\uc2a4\ub97c \ud65c\uc131\ud654\ud558\uace0, \uc0ac\uc6a9\uc790\uc758 \uac1c\uc778 \uc815\ubcf4\ub97c \uc720\uc9c0\ud558\uba70, \uc9c0\ub9ac\uc801 \ucc28\ub2e8 \uc81c\ud55c\uc744 \uc6b0\ud68c\ud558\uc5ec \ub2e4\uc591\ud55c \uc9c0\ub9ac\uc801 \uc704\uce58\uc5d0\uc11c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud560 \uc218 \uc788\ub294 \uc218\ub2e8\uc744 \uc81c\uacf5\ud568\uc73c\ub85c\uc368 \uc6f9 \uc2a4\ud06c\ub798\ud551\uc5d0 \ub3c4\uc6c0\uc744 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ud504\ub85d\uc2dc\ub97c \ud1b5\ud574 \uc218\uc9d1\ub41c \ub370\uc774\ud130\ub294 \ube45\ub370\uc774\ud130 \ubd84\uc11d \ub3c4\uad6c\uc5d0 \uc785\ub825\ub418\uc5b4 \uc758\ubbf8 \uc788\ub294 \ud1b5\ucc30\ub825\uc744 \ucd94\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc18c\ub9e4\uc5c5\uccb4\ub294 \ud504\ub85d\uc2dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uacbd\uc7c1\uc0ac \uc6f9\uc0ac\uc774\ud2b8\uc5d0\uc11c \uae00\ub85c\ubc8c \uac00\uaca9 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud55c \ub2e4\uc74c \ube45\ub370\uc774\ud130 \ubd84\uc11d\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc591\ud55c \uc2dc\uc7a5\uc5d0 \ub300\ud55c \ucd5c\uc801\uc758 \uac00\uaca9 \ucc45\uc815 \uc804\ub7b5\uc744 \uacb0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\uad00\ub828\ub41c \ub9c1\ud06c\ub4e4<\/h2>\n<p>\ube45\ub370\uc774\ud130 \ubd84\uc11d\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \ub0b4\uc6a9\uc740 \ub2e4\uc74c\uc744 \ucc38\uc870\ud558\uc138\uc694.<\/p>\n<ol>\n<li><a href=\"https:\/\/www.ibm.com\/analytics\/hadoop\/big-data-analytics\" target=\"_new\" rel=\"noopener nofollow\">IBM: \ube45\ub370\uc774\ud130 \ubd84\uc11d\uc774\ub780 \ubb34\uc5c7\uc785\ub2c8\uae4c?<\/a><\/li>\n<li><a href=\"https:\/\/www.oracle.com\/big-data\/what-is-big-data\/\" target=\"_new\" rel=\"noopener nofollow\">\uc624\ub77c\ud074: \ube45\ub370\uc774\ud130\ub780 \ubb34\uc5c7\uc785\ub2c8\uae4c?<\/a><\/li>\n<li><a href=\"https:\/\/www.sas.com\/en_us\/insights\/analytics\/big-data-analytics.html\" target=\"_new\" rel=\"noopener nofollow\">SAS: \ube45\ub370\uc774\ud130 \ubd84\uc11d<\/a><\/li>\n<li><a href=\"https:\/\/www.informatica.com\/services-and-training\/glossary-of-terms\/big-data-analytics-definition.html\" target=\"_new\" rel=\"noopener nofollow\">Informatica: \ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc774\ub780 \ubb34\uc5c7\uc785\ub2c8\uae4c?<\/a><\/li>\n<li><a href=\"https:\/\/www.talend.com\/resources\/what-is-big-data-analytics\/\" target=\"_new\" rel=\"noopener nofollow\">Talend: \ube45 \ub370\uc774\ud130 \ubd84\uc11d\uc774\ub780 \ubb34\uc5c7\uc785\ub2c8\uae4c?<\/a><\/li>\n<\/ol>","protected":false},"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476012","wiki","type-wiki","status-publish","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Big Data Analytics: Understanding the Power of Large Data Sets<\/mark>","faq_items":[{"question":"What is Big Data Analytics?","answer":"<p>Big Data Analytics is a process that involves the use of advanced analytic techniques on large, diverse data sets that include different varieties such as structured, semi-structured, and unstructured data, sourced from different origins and in sizes ranging from terabytes to zettabytes.<\/p>"},{"question":"What is the history of Big Data Analytics?","answer":"<p>The term \"Big Data\" was first introduced in the early 1990s. As the internet expanded and organizations began storing more data digitally, the concept of analyzing this data for trends, predictions, and insights took off. The advent of \"Web 2.0\" in the mid-2000s and the resulting user-generated content led to an exponential growth in data, leading to the need for big data analytics.<\/p>"},{"question":"How does Big Data Analytics work?","answer":"<p>Big Data Analytics involves multiple stages: data collection from various sources, processing of gathered data, storage in Data Warehousing or Hadoop-like ecosystems, analysis using different models and algorithms, and visualization using different graphical tools for easy interpretation of complex data.<\/p>"},{"question":"What are the key features of Big Data Analytics?","answer":"<p>Big Data Analytics is characterized by five key features: volume (amount of data), velocity (speed at which data is generated and processed), variety (different types of data), veracity (the reliability of data), and value (the ability to turn data into value).<\/p>"},{"question":"What types of Big Data Analytics exist?","answer":"<p>There are four main types of Big Data Analytics: Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics.<\/p>"},{"question":"How is Big Data Analytics used and what are its challenges?","answer":"<p>Big Data Analytics is used across various industries for predictive and prescriptive analytics, risk management, fraud detection, customer experience management, and operational analytics. However, challenges like data privacy and security, data quality and accuracy, and the need for scalable storage and processing power exist.<\/p>"},{"question":"How does Big Data Analytics compare with traditional data analytics?","answer":"<p>Unlike traditional data analytics, Big Data Analytics can handle large, complex data sets, perform real-time or near real-time processing, and provide predictive and prescriptive insights.<\/p>"},{"question":"What is the future of Big Data Analytics?","answer":"<p>The future of Big Data Analytics is closely linked with advancements in artificial intelligence (AI), machine learning, and real-time analytics. Emerging concepts like augmented analytics and quantum computing are set to redefine its capabilities.<\/p>"},{"question":"How are proxy servers associated with Big Data Analytics?","answer":"<p>Proxy servers can play a vital role in big data analytics by enabling anonymous access to data sources, maintaining user privacy, and allowing data collection from different geographical locations by bypassing geo-blocking restrictions. This data can then be fed into Big Data Analytics tools to extract valuable insights.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/476012","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/476012\/revisions"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media?parent=476012"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}