{"id":12617,"date":"2021-12-21T08:00:27","date_gmt":"2021-12-21T16:00:27","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=12617"},"modified":"2025-06-13T17:20:50","modified_gmt":"2025-06-14T00:20:50","slug":"how-couchbase-simplifies-data-science-part-1","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/ko\/how-couchbase-simplifies-data-science-part-1\/","title":{"rendered":"Couchbase\uac00 \ub370\uc774\ud130 \uacfc\ud559\uc744 \uac04\uc18c\ud654\ud558\ub294 \ubc29\ubc95(1\ubd80)"},"content":{"rendered":"

\uc774 \uac8c\uc2dc\ubb3c\uc740 Karen Yua\uac00 \uacf5\ub3d9 \uc791\uc131\ud588\uc2b5\ub2c8\ub2e4.<\/span>n<\/span>\uace0\ub4f1\ud559\uc0dd \uc778\ud134.\u00a0<\/span><\/em><\/p>\n

\ub370\uc774\ud130 \uacfc\ud559\uc740 \ub370\uc774\ud130\uc5d0\uc11c \uc9c0\uc2dd\uc744 \ucd94\ucd9c\ud558\uace0 \uadf8 \uc9c0\uc2dd\uc744 \uc801\uc6a9\ud558\uc5ec \ubb38\uc81c\ub97c \ud574\uacb0\ud569\ub2c8\ub2e4. \ub2e4\uc74c \ub450 \uac1c\uc758 \uac8c\uc2dc\ubb3c\uc5d0\uc11c\ub294 Couchbase \ub370\uc774\ud130 \ud50c\ub7ab\ud3fc\uc774 \uc5b4\ub5bb\uac8c \ub2e4\uc591\ud55c \ub370\uc774\ud130 \uacfc\ud559 \uc694\uad6c \uc0ac\ud56d\uc744 \ucda9\uc871\ud558\uace0 \uadf8 \uacfc\uc815\uc5d0\uc11c \ud544\uc694\ud55c \ub3c4\uad6c\uc758 \uc218\ub97c \ub2e8\uc21c\ud654\ud558\uace0 \uc904\uc77c \uc218 \uc788\ub294\uc9c0 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

\uac1c\uc694<\/h4>\n

\ub370\uc774\ud130 \uacfc\ud559 \uc6cc\ud06c\ud50c\ub85c\uc5d0\ub294 \uadf8\ub9bc 1\uacfc \uac19\uc774 \uc5ec\ub7ec \ub2e8\uacc4\uac00 \ud3ec\ud568\ub429\ub2c8\ub2e4. \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \uac01 \ub2e8\uacc4\ub9c8\ub2e4 \ub2e4\ub978 \ub3c4\uad6c\ub97c \uc0ac\uc6a9\ud574\uc57c \ud558\ubbc0\ub85c \ud504\ub85c\uc138\uc2a4\uac00 \ubcf5\uc7a1\ud574\uc9c0\uace0 \ud6a8\uc728\uc131\uc774 \ub5a8\uc5b4\uc9d1\ub2c8\ub2e4.<\/p>\n

\uc608\ub97c \ub4e4\uc5b4, \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \ud0d0\uc0c9\uc801 \ub370\uc774\ud130 \ubd84\uc11d\uc744 \uc218\ud589\ud558\uc5ec \ud559\uc2b5 \ub370\uc774\ud130\uc758 \uc5b4\ub5a4 \uc18d\uc131\uc774 \uc0ac\uc6a9 \uc0ac\ub840\uc5d0 \uc911\uc694\ud55c\uc9c0 \uacb0\uc815\ud569\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc5d0\uc11c \ub2e4\ub978 \ub3c4\uad6c(\uc608: Jupyter \ub178\ud2b8\ubd81)\ub85c \ud559\uc2b5 \ub370\uc774\ud130\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \ud559\uc2b5 \ub370\uc774\ud130 \uc138\ud2b8\ub294 \ubc29\ub300\ud558\uace0 \ub9ce\uc740 \uba54\ubaa8\ub9ac\ub97c \uc18c\ubaa8\ud569\ub2c8\ub2e4. \ub610\ud55c \ub300\uc6a9\ub7c9 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc804\uc1a1\ud558\uba74 \ub124\ud2b8\uc6cc\ud06c \ub300\uc5ed\ud3ed\uc774 \uc18c\ubaa8\ub418\uace0 \ud504\ub85c\uc138\uc2a4 \uc18d\ub3c4\uac00 \ub290\ub824\uc9d1\ub2c8\ub2e4. \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uae30\uc5d0 \uac00\uc7a5 \uc88b\uc740 \uacf3\uc740 \ub370\uc774\ud130\uac00 \uc800\uc7a5\ub418\uc5b4 \uc788\ub294 \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc785\ub2c8\ub2e4.<\/strong><\/p>\n

\ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc5d0\uc11c \ud544\uc218 \uc18d\uc131\ub9cc \uc77d\uc73c\uba74 \ub429\ub2c8\ub2e4. \uc774\ub807\uac8c \ud558\uba74 \ub370\uc774\ud130 \ubd84\uc11d\uc774 \uac04\uc18c\ud654\ub418\uace0 \ud2b8\ub808\uc774\ub2dd \uc138\uc158 \uba54\ubaa8\ub9ac \uc0ac\uc6a9\ub7c9\uc774 \uc904\uc5b4\ub4e4\uba70 \ub124\ud2b8\uc6cc\ud06c \ub370\uc774\ud130 \uc804\uc1a1\ub7c9\uc774 \uc81c\ud55c\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uac01\uac01 10\uac1c\uc758 \ud544\ub4dc\uac00 \uc788\ub294 \uc218\ubc31\ub9cc \uac1c\uc758 JSON \ubb38\uc11c\ub85c \ub370\uc774\ud130\ub97c \ud6c8\ub828\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uc911 8\uac1c \ud544\ub4dc\ub9cc \ud559\uc2b5\uc5d0 \ud544\uc694\ud55c \uacbd\uc6b0, \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \ub098\uba38\uc9c0\ub97c \ubb34\uc2dc\ud568\uc73c\ub85c\uc368 \uc57d 201TB\uc758 \uba54\ubaa8\ub9ac\ub97c \uc808\uc57d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4(\ubaa8\ub4e0 \ud544\ub4dc\uc758 \ud06c\uae30\uac00 \uac19\ub2e4\uace0 \uac00\uc815).<\/p>\n

\uc774 \uae00\uacfc \ub2e4\uc74c \uae00\uc5d0\uc11c \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4:<\/p>\n

    \n
  1. Couchbase \ucffc\ub9ac \uc11c\ube44\uc2a4\ub97c \uc0ac\uc6a9\ud574 \ud0d0\uc0c9\uc801 \ub370\uc774\ud130 \ubd84\uc11d(EDA)\uc744 \uc218\ud589\ud558\uace0 \ub370\uc774\ud130 \uacfc\ud559 \uacb0\uacfc\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uc138\uc694. \ucffc\ub9ac \ubc0f \ubd84\uc11d \uc11c\ube44\uc2a4\ub294 \ud559\uc2b5 \ub370\uc774\ud130 \ubc0f \uc608\uce21\uacfc \ub3d9\uc77c\ud55c Couchbase \ud074\ub7ec\uc2a4\ud130\uc5d0\uc11c \uc2e4\ud589\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc11c\ube44\uc2a4\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud559\uc2b5 \ub370\uc774\ud130\uc640 \uc608\uce21\uc744 \ubd84\uc11d\ud558\uba74 \ub370\uc774\ud130 \uacfc\ud559 \ud504\ub85c\uc138\uc2a4\ub97c \uc27d\uace0 \ud6a8\uc728\uc801\uc73c\ub85c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
  2. Couchbase Python SDK\uc758 \ucffc\ub9ac \ubc0f \ubd84\uc11d API\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud559\uc2b5 \ub370\uc774\ud130\ub97c \ud6a8\uc728\uc801\uc73c\ub85c \uc77d\uace0 \uba38\uc2e0 \ub7ec\ub2dd(ML)\uc5d0 \uc801\ud569\ud55c \ub370\uc774\ud130 \uad6c\uc870(\uc608: \ud310\ub2e4 \ub370\uc774\ud130 \ud504\ub808\uc784)\uc5d0 \uc6d0\ud65c\ud558\uac8c \uc800\uc7a5\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uc138\uc694.<\/li>\n
  3. \ud559\uc2b5 \ub370\uc774\ud130\uc640 \uc608\uce21\ubfd0\ub9cc \uc544\ub2c8\ub77c ML \ubaa8\ub378(\ucd5c\ub300 20MB \ud06c\uae30)\uae4c\uc9c0 \uc800\uc7a5\ud558\uc5ec \ubaa8\ub4e0 \ub370\uc774\ud130 \uacfc\ud559 \ud504\ub85c\uc138\uc2a4 \uc2a4\ud1a0\ub9ac\uc9c0 \uc694\uad6c \uc0ac\ud56d\uc744 \ucda9\uc871\ud558\ub294 Couchbase.<\/li>\n<\/ol>\n

    \"\"<\/p>\n

    \ubb38\uc81c \ud504\ub808\uc784<\/h4>\n

    \ub370\uc774\ud130 \uacfc\ud559 \ud504\ub85c\uc138\uc2a4(\uadf8\ub9bc 1)\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \ubb38\uc81c \uc815\uc758\uc5d0\uc11c \uc2dc\uc791\ub429\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uace0\uac1d \uc774\ud0c8 \uc608\uce21\uc744 \uc608\ub85c \ub4e4\uc5b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

    \uc628\ub77c\uc778 \uc2a4\ud2b8\ub9ac\ubc0d \uc11c\ube44\uc2a4 \ud68c\uc0ac\uc758 \uc601\uc5c5\ud300\uc740 \uc6d4 \uad6c\ub3c5\ub8cc\ub97c \uc778\uc0c1\ud558\uba74 \ub354 \ub9ce\uc740 \uc218\uc775\uc744 \uc62c\ub9b4 \uc218 \uc788\ub294\uc9c0 \uc54c\uace0 \uc2f6\uc5b4\ud569\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc6d4\uac04 \ube44\uc6a9\uc744 \ub108\ubb34 \ub192\uc774\uba74 \uace0\uac1d \uc774\ud0c8\ub960\uc774 \ub192\uc544\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

    \uace0\uac1d \uc774\ud0c8\uc744 \uc5b5\uc81c\ud558\uba74\uc11c \uc218\uc775\uc744 \uadf9\ub300\ud654\ud558\ub294 \uc6d4\ubcc4 \ube44\uc6a9\uc740 \uc5bc\ub9c8\uc77c\uae4c\uc694? \uc774 \uc9c8\ubb38\uc5d0 \ub2f5\ud558\ub824\uba74 \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \uc6d4\ubcc4 \ube44\uc6a9\uc774 \ud2b9\uc815 \uae08\uc561\ub9cc\ud07c \uc99d\uac00\ud588\uc744 \ub54c(\uc608: $1, $2 \ub4f1) \uc774\ud0c8 \uc810\uc218\ub97c \uc608\uce21\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n

    \uad00\ub828 \ub370\uc774\ud130 \uc218\uc9d1 \ubc0f \uc900\ube44<\/h4>\n

    \ubb38\uc81c\ub97c \uc815\uc758\ud55c \ud6c4 \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \ubb38\uc81c \ud574\uacb0\uc5d0 \ud544\uc694\ud55c \uc801\uc808\ud55c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud569\ub2c8\ub2e4. \uc774 \uc6d0\uc2dc \ub370\uc774\ud130\ub294 \ub204\ub77d\ub41c \uac12\uc744 \ucc98\ub9ac\ud558\uae30 \uc704\ud574 \uc815\ub9ac \ubc0f \uc0ac\uc804 \ucc98\ub9ac\uac00 \ud544\uc694\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

    \uc774 \uae00\uc5d0\uc11c\ub294 \uc628\ub77c\uc778_\uc2a4\ud2b8\ub9ac\ubc0d.csv<\/em> \uc0ac\uc6a9 \uac00\ub2a5\ud55c \ub370\uc774\ud130 \uc138\ud2b8 \uc5ec\uae30<\/a>. \uc774\uac83\uc740 Couchbase\uc5d0\uc11c \ub9cc\ub4e0 \ud569\uc131 \ub370\uc774\ud130 \uc138\ud2b8\uc785\ub2c8\ub2e4. \uac00\uc0c1\uc758 \uc628\ub77c\uc778 \uc2a4\ud2b8\ub9ac\ubc0d \uc11c\ube44\uc2a4 \ud68c\uc0ac\uc758 \uace0\uac1d \ub808\ucf54\ub4dc 50\ub9cc \uac1c\ub97c \uc2dc\ubbac\ub808\uc774\uc158\ud569\ub2c8\ub2e4.<\/p>\n

    README\uc5d0 \uc5b8\uae09\ub41c \ub2e8\uacc4\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774 \ub370\uc774\ud130 \uc138\ud2b8\ub97c Couchbase \ud074\ub7ec\uc2a4\ud130\uc5d0 \ub85c\ub4dc\ud569\ub2c8\ub2e4. \uc5ec\uae30<\/a>.<\/p>\n

    \ub370\uc774\ud130 \uc0b4\ud3b4\ubcf4\uae30<\/h4>\n

    \ud544\uc694\ud55c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0 \uc900\ube44\ud55c \ud6c4, \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uc778\uc0ac\uc774\ud2b8\ub97c \uc5bb\uae30 \uc704\ud574 \ub370\uc774\ud130\ub97c \ud0d0\uc0c9\ud569\ub2c8\ub2e4. \ud0d0\uc0c9\uc801 \ub370\uc774\ud130 \ubd84\uc11d(EDA)\uc740 \ub370\uc774\ud130\uc758 \uad6c\uc870\ub97c \ud30c\uc545\ud558\uace0 \uc911\uc694\ud55c \ubcc0\uc218\ub97c \ucd94\ucd9c\ud558\uae30 \uc704\ud574 \uc885\uc885 \uc2dc\uac01\ud654 \uae30\uc220\uc744 \uc0ac\uc6a9\ud558\ub294 \uc811\uadfc \ubc29\uc2dd\uc785\ub2c8\ub2e4.<\/p>\n

    \uc55e\uc11c \uc5b8\uae09\ud588\ub4ef\uc774 \uc774 \ubd84\uc11d\uc744 \uc218\ud589\ud558\uae30\uc5d0 \uac00\uc7a5 \uc88b\uc740 \uc7a5\uc18c\ub294 \ub370\uc774\ud130\uac00 \uc800\uc7a5\ub41c \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc785\ub2c8\ub2e4.<\/p>\n

    \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 EDA\ub97c \uc704\ud574 Couchbase \ucffc\ub9ac \ubc0f \ubd84\uc11d \uc11c\ube44\uc2a4\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc11c\ube44\uc2a4\ub294 \ud559\uc2b5 \ub370\uc774\ud130\uac00 \uc800\uc7a5\ub41c \ud074\ub7ec\uc2a4\ud130\uc640 \ub3d9\uc77c\ud55c Couchbase \ud074\ub7ec\uc2a4\ud130\uc5d0\uc11c \uc2e4\ud589\ub429\ub2c8\ub2e4. \ubd84\uc11d\uc744 \uc704\ud574 \ud559\uc2b5 \ub370\uc774\ud130\ub97c \ub2e4\ub978 \uacf3\uc73c\ub85c \uc62e\uae38 \ud544\uc694\uac00 \uc5c6\uc2b5\ub2c8\ub2e4. \ub530\ub77c\uc11c \ud504\ub85c\uc138\uc2a4\uac00 \uac04\ub2e8\ud558\uace0 \ud6a8\uc728\uc801\uc785\ub2c8\ub2e4.<\/p>\n

    \uce74\uc6b0\uce58\ubca0\uc774\uc2a4 \ub2e4\ucc28\uc6d0 \ud655\uc7a5(MDS)\uc5d0 \ub300\ud574 \uc124\uba85\ud569\ub2c8\ub2e4. \uc5ec\uae30<\/a>\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774\ub7ec\ud55c \uc11c\ube44\uc2a4\ub97c \ub3c5\ub9bd\uc801\uc73c\ub85c \ud655\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uacb0\uacfc \ucffc\ub9ac \uc18d\ub3c4\uac00 \ube68\ub77c\uc9d1\ub2c8\ub2e4. Couchbase \ubd84\uc11d \uc11c\ube44\uc2a4\uc758 \ubcd1\ub82c \ub370\uc774\ud130 \uad00\ub9ac \uae30\ub2a5\uc740 \ub370\uc774\ud130 \ubd84\uc11d\uc744 \ub354\uc6b1 \ud6a8\uc728\uc801\uc73c\ub85c \ub9cc\ub4e4\uc5b4 \uc90d\ub2c8\ub2e4.<\/p>\n

    \uc5ec\uae30\uc5d0 \uc124\uba85\ub41c \ucffc\ub9ac \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\ub824\uba74 \uba3c\uc800 \ucffc\ub9ac UI\uc5d0\uc11c \ub2e4\uc74c \uba85\ub839\uc744 \uc2e4\ud589\ud558\uc5ec \uc628\ub77c\uc778_\uc2a4\ud2b8\ub9ac\ubc0d \ubc84\ud0b7\uc5d0 \uae30\ubcf8 \uc778\ub371\uc2a4\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc120\ud0dd \ucffc\ub9ac \ucee8\ud14d\uc2a4\ud2b8<\/em> \uc744 \ub4dc\ub86d\ub2e4\uc6b4 \uba54\ub274\uc5d0\uc11c \ud074\ub9ad\ud558\uace0 \uc785\ub825\ud569\ub2c8\ub2e4: \uc5d0 \uae30\ubcf8 \uc778\ub371\uc2a4 \uc0dd\uc131<\/em> \uc628\ub77c\uc778_\uc2a4\ud2b8\ub9ac\ubc0d<\/em><\/p>\n

    \uae30\ubcf8 \uc778\ub371\uc2a4\ub97c \ub9cc\ub4dc\ub294 \ub300\uc2e0 \uc778\ub371\uc2a4 \uc5b4\ub4dc\ubc14\uc774\uc800 \uae30\ub2a5(\uc870\uc5b8<\/a> \ubb38\uc744 \uc785\ub825\ud569\ub2c8\ub2e4. cbq<\/a> \ub3c4\uad6c)\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucffc\ub9ac\ubcc4\ub85c \uc0dd\uc131\ud560 \uc801\uc808\ud55c \uc778\ub371\uc2a4\ub97c \ucc3e\uae30 \uc704\ud574 Couchbase \ucffc\ub9ac \uc11c\ube44\uc2a4\uc758 \uc5b4\ub514<\/em> \uc808\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n

    \ud0d0\uc0c9\uc801 \ub370\uc774\ud130 \ubd84\uc11d\uc758 \ud575\uc2ec \ub2e8\uacc4 \uc911 \ud558\ub098\ub294 \ub370\uc774\ud130 \uc9d1\ud569\uc758 \uc18d\uc131\uc744 \uc774\ud574\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.
    \n\uadf8\ub9ac\uace0 INFER<\/em> \ubb38\uc744 \uc0ac\uc6a9\ud558\uba74 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc0ac\uc6a9\uc790\ub294 \ubb38\uc11c\uc758 \uad6c\uc870, \ub2e4\uc591\ud55c \uc18d\uc131\uc758 \ub370\uc774\ud130 \uc720\ud615 \ub4f1\uc744 \uc720\ucd94\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ucc38\uace0 INFER<\/em> \ub294 \uacb0\uc815\ub860\uc801\uc774\ub77c\uae30\ubcf4\ub2e4\ub294 \ud1b5\uacc4\uc801 \uc131\uaca9\uc744 \ub760\uace0 \uc788\uc2b5\ub2c8\ub2e4.     \uc5ec\uae30<\/a>.<\/p>\n

    \uc544\ub798 \ucffc\ub9ac\uc5d0\uc11c \ubcfc \uc218 \uc788\ub4ef\uc774, \uc544\ub798 \ucffc\ub9ac\uc5d0\uc11c INFER<\/em> \ubb38\uc744 \ubcf4\uba74 \uc774 \ubc84\ud0b7\uc5d0 500,000\uac1c\uc758 \ubb38\uc11c\uac00 \uc788\uace0 \uc774 \ubb38\uc11c\uc5d0 \uc694\uae08\uc81c \ubc0f \uace0\uac1d ID\uc640 \uac19\uc740 \uc18d\uc131\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc74c\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac1c\ubcc4 \uc18d\uc131\uc744 \ud655\uc7a5\ud558\uba74 \ucd94\uac00 \uc138\ubd80 \uc815\ubcf4\ub97c \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \uc6d4\ubcc4 \ube44\uc6a9\uc5d0\ub294 $5.99, $11.99 \ubc0f $19.99\uc758 \uc138 \uac00\uc9c0 \uac00\ub2a5\ud55c \uac12\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

    \"\"
    \n\uc9c0\ub3c4 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998\uc778 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ud0c8 \uc608\uce21\uc790\ub97c \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4.
    \n\uadf8\ub9ac\uace0 \uc774\ud0c8<\/em> \uc18d\uc131\uc740 \uc9c0\ub3c4 \ud559\uc2b5\uc744 \uc704\ud55c \ub808\uc774\ube14(\ucd9c\ub825, \ub300\uc0c1)\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774\ud0c8<\/em> \ub294 0 \ub610\ub294 1\ub85c \uc124\uc815\ub418\uba70, 1\uc740 \uace0\uac1d\uc774 \uc774\ud0c8\ud588\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \ud559\uc2b5 \ud504\ub85c\uc138\uc2a4\ub294 \ub808\uc774\ube14(\uc774\ud0c8)\uacfc \uc785\ub825(\ub370\uc774\ud130 \uc138\ud2b8\uc758 \ub2e4\ub978 \uc18d\uc131) \uac04\uc758 \uad00\uacc4\ub97c \ud559\uc2b5\ud558\ub824\uace0 \uc2dc\ub3c4\ud569\ub2c8\ub2e4.<\/p>\n

    \ucffc\ub9ac \ubc0f \ubd84\uc11d \ucc28\ud2b8(\uce74\uc6b0\uce58\ubca0\uc774\uc2a4 \uc11c\ubc84 7.0.2 \uc774\uc0c1)\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc18d\uc131 \uac04\uc758 \ud328\ud134\uc774\ub098 \uc0c1\uad00 \uad00\uacc4\ub97c \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uad50\uc721 \ud504\ub85c\uc138\uc2a4\uc5d0 \uc5b4\ub5a4 \uc18d\uc131\uc744 \ud3ec\ud568\ud560\uc9c0 \uacb0\uc815\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798 \ucc28\ud2b8\ub294 \uc6d4 \ube44\uc6a9\uc774 \ub192\uc740 \uace0\uac1d\uc774 \uc774\ud0c8\ud560 \uac00\ub2a5\uc131\uc774 \ub354 \ub192\ub2e4\ub294 \uac83\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ubd84\uba85\ud55c \uac83\uc740 \uc6d4\ubcc4 \ube44\uc6a9\uc740 \uc774\ud0c8 \uc608\uce21\uc790\ub97c \ud559\uc2b5\uc2dc\ud0ac \ub54c \ud3ec\ud568\ud574\uc57c \ud560 \uc911\uc694\ud55c \uc18d\uc131\uc785\ub2c8\ub2e4.<\/p>\n

    \"\"<\/p>\n

    \uce74\uc6b0\uce58\ubca0\uc774\uc2a4 \ucffc\ub9ac \ubc0f \ubd84\uc11d \uc11c\ube44\uc2a4\ub294 \ud1b5\uacc4 \ubd84\uc11d\uc5d0 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ud3c9\uade0 \ubc0f \ud45c\uc900 \ud3b8\ucc28\uc640 \uac19\uc740 \ub9ce\uc740 \uae30\ubcf8 \uc81c\uacf5 \ud568\uc218\ub3c4 \uc81c\uacf5\ud569\ub2c8\ub2e4. \ub0a0\uc9dc \ubc0f \ubb38\uc790\uc5f4\uacfc \uac19\uc740 \ub2e4\ub978 \ucffc\ub9ac \ud568\uc218\ub294 \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc5d0 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

    \ubaa8\ub378 \ud6c8\ub828<\/h4>\n

    \ub370\uc774\ud130\ub97c \ud0d0\uc0c9\ud55c \ud6c4 \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \ubaa8\ub378 \ud559\uc2b5\uc744 \uc9c4\ud589\ud569\ub2c8\ub2e4. \uadf8\ub9bc 2\uc5d0 \ud45c\uc2dc\ub41c \ub2e8\uacc4\ub97c \uc0ac\uc6a9\ud558\uc5ec \uace0\uac1d \uc774\ud0c8 \uc608\uce21 \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4. \ud544\uc694\ud55c \uacbd\uc6b0, \uae30\ub2a5\uc744 Couchbase \ubc84\ud0b7\uc5d0 \uc800\uc7a5\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

    \"\"<\/p>\n

    1\ub2e8\uacc4: \uce74\uc6b0\uce58\ubca0\uc774\uc2a4\uc5d0\uc11c \ud6a8\uc728\uc801\uc73c\ub85c \ud559\uc2b5 \ub370\uc774\ud130 \uc77d\uae30
    \n\uc6b0\ub9ac\ub294 \uc774\ubbf8 \ucffc\ub9ac \uc11c\ube44\uc2a4\ub97c \uc0ac\uc6a9\ud558\uc5ec EDA \uc911\uc5d0 \uc911\uc694\ud55c \uc18d\uc131\uc744 \uc2dd\ubcc4\ud588\uc2b5\ub2c8\ub2e4. \ud559\uc2b5 \ub370\uc774\ud130\ub97c \uc77d\ub294 \ub3d9\uc548 \ud574\ub2f9 \uc18d\uc131\ub9cc \uac00\uc838\uc62c \uac83\uc785\ub2c8\ub2e4. \uc774\ub807\uac8c \ud558\uba74 \ub124\ud2b8\uc6cc\ud06c\ub97c \ud1b5\ud574 \uc77d\ub294 \ub370\uc774\ud130\uc758 \ud06c\uae30\uc640 \ud559\uc2b5 \uc138\uc158\uc5d0 \ub370\uc774\ud130\ub97c \uc800\uc7a5\ud558\ub294 \ub370 \ud544\uc694\ud55c \uba54\ubaa8\ub9ac \uc591\uc774 \uc904\uc5b4\ub4ed\ub2c8\ub2e4.<\/p>\n

    Couchbase Python SDK(\ubc84\uc804 3)\uc758 \ucffc\ub9ac API\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc74c\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \ud6a8\uc728\uc801\uc73c\ub85c<\/em> \uc804\uccb4 \uad50\uc721 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc77d\uc73c\ub824\uba74 \uc120\ud0dd<\/em> \uc774\ud0c8 \uc608\uce21\uc790 \ud559\uc2b5\uc5d0 \uad00\ub828\ub41c \uc18d\uc131\ub9cc \uc785\ub825\ud569\ub2c8\ub2e4.<\/p>\n

    \uc774 \ucf54\ub4dc\uc5d0\uc11c \ubcfc \uc218 \uc788\ub4ef\uc774 \ucffc\ub9ac API\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc77d\uc740 \ub370\uc774\ud130\ub294 \ud310\ub2e4\uc2a4 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0 \uc27d\uac8c \uc800\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

    import numpy as np\r\nimport pandas as pd\r\n# Connect to Couchbase cluster using the Python SDK\r\nfrom couchbase.cluster import Cluster, ClusterOptions\r\nfrom couchbase.auth import PasswordAuthenticator\r\n# Fill-in the hostname or IP address, user_name and password for your cluster. \r\n# E.g. Cluster.connect(\"couchbase:\/\/localhost\", ClusterOptions(PasswordAuthenticator(\"Administrator\", # \"password\")))\r\ncluster = Cluster.connect(<host>,\r\nClusterOptions(PasswordAuthenticator(<user_name>, <password>)))\r\n# Connect to online_streaming bucket\r\ncb = cluster.bucket('online_streaming')\r\n# Use the Query API to get all documents from the bucket\r\n# Specify only the needed attributes in the SELECT clause \r\nquery_result = cb.query(\"SELECT c.AverageAge, c.AvgHoursWatchedPerWeek, c.Churn, c.MonthlyCost, c.NumViewersInHousehold, c.Plan FROM `online_streaming` as c\")\r\n# Easily store the read data to a Pandas data frame\r\ndata = pd.DataFrame(list(query_result))\r\ndata.head()<\/pre>\n
    \"\"
    \n\ub2e4\uc74c\uc744 \ucc38\uc870\ud558\uc138\uc694.     \uce74\uc6b0\uce58\ubca0\uc774\uc2a4 \ud30c\uc774\uc36c SDK \ubb38\uc11c<\/a> \ub97c \ucc38\uc870\ud558\uc5ec SDK \uc0ac\uc6a9\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \ud655\uc778\ud558\uc138\uc694.<\/p>\n
    \ub2e4\uc74c \uae00\uc5d0\uc11c \uc124\uba85\ud558\ub294 \ub300\ub85c Couchbase Python SDK\uc758 \uc560\ub110\ub9ac\ud2f1\uc2a4 API\ub3c4 \ud559\uc2b5 \ub370\uc774\ud130\ub97c \uc77d\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
    2\ub2e8\uacc4: \ud2b9\uc9d5 \ucd94\ucd9c<\/h4>\n
    \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \uc6d0\uc2dc \ub370\uc774\ud130\ub97c \uc801\uc808\ud55c \ud53c\ucc98\ub85c \ubcc0\ud658\ud558\uc5ec \ud559\uc2b5 \uae30\ub2a5\uc5d0 \uc804\ub2ec\ud569\ub2c8\ub2e4. \ud53c\ucc98 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uae30\ubc95\uc758 \uc720\ud615\uc740 \ub370\uc774\ud130 \uc720\ud615\uc5d0 \ub530\ub77c \ub2e4\ub985\ub2c8\ub2e4.<\/p>\n
    \uac00\uc7a5 \uc77c\ubc18\uc801\uc778 \uae30\ub2a5 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \ub2e8\uacc4 \uc911 \ud558\ub098\ub294 \uc6d0\ud56b \uc778\ucf54\ub529\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubc94\uc8fc\ud615 \ub370\uc774\ud130\ub97c \uc22b\uc790 \uac12\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774 Python \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc94\uc8fc\ud615 \ub370\uc774\ud130\ub97c \uc778\ucf54\ub529\ud558\uace0 \uc785\ub825(X) \ubc0f \ub808\uc774\ube14(Y) \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub9cc\ub4e4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
    # Get one-hot encoding for categorical features\r\ncategoricals = data.select_dtypes(include = object).columns\r\ndata = pd.get_dummies(data, columns=categoricals)\r\n# Drop the 'Churn' column since it is a label and not a feature\r\nfeature_names = list(set(list(data.columns)) - set(['Churn']))\r\nX = data[feature_names]\r\nY = data['Churn']<\/pre>\n
    \uc5d0\uc11c \ubcfc \uc218 \uc788\ub4ef\uc774 X.head()<\/em> \ucd9c\ub825\uc5d0\uc11c \uc6d0\ud56b \uc778\ucf54\ub529\uc774 \uc774\uc804\uc5d0 \ub2e4\uc74c \uc911 \ud558\ub098\ub85c \uc124\uc815\ub41c \uacc4\ud68d \uc5f4\uc744 \ub300\uccb4\ud588\uc2b5\ub2c8\ub2e4. \uae30\ubcf8, \ud45c\uc900 \ub610\ub294 \ud504\ub9ac\ubbf8\uc5c4<\/em>\uc138 \uac1c\uc758 \uc22b\uc790 \uc5f4\uc774 \uc788\ub294 \uacc4\ud68d-\ud45c\uc900, \uacc4\ud68d-\uae30\ubcf8 <\/em>\uadf8\ub9ac\uace0 \ud50c\ub79c-\ud504\ub9ac\ubbf8\uc5c4.<\/em><\/p>\n
    \"\"<\/p>\n
    3\ub2e8\uacc4: ML \ubaa8\ub378 \ud559\uc2b5<\/h4>\n
    \ub2e4\uc74c\uc73c\ub85c \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \uc0ac\uc6a9 \uc0ac\ub840\uc640 \uad00\ub828\ub41c ML \ubaa8\ub378 \ud559\uc2b5\uc744 \uc9c4\ud589\ud569\ub2c8\ub2e4.
    \n\uc544\ub798 \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec 2\ub2e8\uacc4\uc5d0\uc11c \uc0dd\uc131\ud55c \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ud0c8 \uc608\uce21\uc790\ub97c \ud559\uc2b5\uc2dc\ud0a4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
    from sklearn.model_selection import train_test_split\r\n# train_test_split function splits the data into two subsets for training and testing.\r\n# The test_size parameter below ensures that the test subset is 20% of the \r\n# training data.\r\nX_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=101, shuffle=False)\r\n\r\nfrom sklearn.linear_model import LogisticRegression\r\n# We will use Logistic regression to train the churn predictor\r\nlm = LogisticRegression(max_iter=200)\r\nlm.fit(X_train, Y_train)\r\n\r\nlm.score(X_train, Y_train)\r\nlm.score(X_test, Y_test)<\/pre>\n
    4\ub2e8\uacc4: ML \ubaa8\ub378 \ubc0f \ud574\ub2f9 \uba54\ud0c0\ub370\uc774\ud130 \uc800\uc7a5\ud558\uae30<\/h4>\n
    \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \ub098\uc911\uc5d0 \uc608\uce21\uc744 \uc0dd\uc131\ud558\uae30 \uc704\ud574 \ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc800\uc7a5\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774 \ub2e8\uacc4\ub294 \uc5f0\uad6c\ub97c \uc7ac\ud604\ud558\ub294 \ub370\uc5d0\ub3c4 \uc911\uc694\ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uacfc\ud559\uc740 \ubc18\ubcf5\uc801\uc778 \ud504\ub85c\uc138\uc2a4\uc774\uba70 \uc5ec\ub7ec \ubc84\uc804\uc758 \ubaa8\ub378\uc774 \uc788\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
    \uc544\ub798 \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ud0c8 \uc608\uce21 \ubaa8\ub378(\ubc84\uc804 1)\uacfc \ud574\ub2f9 \uba54\ud0c0\ub370\uc774\ud130\ub97c \ubaa8\ub378 \uc800\uc7a5\uc18c<\/em> \ubc84\ud0b7\uc744 \ub9cc\ub4ed\ub2c8\ub2e4. \uacc4\uc18d \uc9c4\ud589\ud558\uae30 \uc804\uc5d0 Couchbase \ud074\ub7ec\uc2a4\ud130\uc5d0 \uc774 \ubc84\ud0b7\uc744 \ub9cc\ub4dc\uc138\uc694.<\/p>\n
    \uc774\ud0c8 \uc608\uce21 \ubaa8\ub378\uc758 \ud06c\uae30\ub294 1KB \ubbf8\ub9cc\uc785\ub2c8\ub2e4. \ucd5c\ub300 20MB \ud06c\uae30\uc758 \ubaa8\ub378\uc740 \ub2e4\uc74c \ubb38\uc11c\uc5d0 \uc124\uba85\ub41c \ub300\ub85c JSON \ub610\ub294 \ubc14\uc774\ub108\ub9ac \ud615\uc2dd\uc73c\ub85c Couchbase\uc5d0 \uc800\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30<\/a>. \ud559\uc2b5\ub41c \ubaa8\ub378\uc5d0\uc11c \uc608\uc0c1\ub418\ub294 \uae30\ub2a5\uc758 \uc774\ub984\uc740 \ubaa8\ub378 \uba54\ud0c0\ub370\uc774\ud130\uc5d0 \uc800\uc7a5\ub429\ub2c8\ub2e4.<\/p>\n
    import pickle\r\nfrom datetime import datetime\r\n\r\ndef store_model_on_couchbase(model, feature_names, model_id):\r\n# Store model in Binary format\r\nfrom couchbase_core._libcouchbase import FMT_BYTES\r\nbucket = cluster.bucket('model_repository')\r\nmodel_bytes = pickle.dumps(model)\r\nbucket.upsert(model_id, model_bytes, format=FMT_BYTES)\r\nnow = datetime.now()\r\nmodel_metadata = {'model_id': model_id,\r\n'feature_names': list(feature_names), \r\n\"creation time\": now.strftime(\"%d\/%m\/%Y %H:%M:%S\")}\r\n# Store model metadata under a separate key\r\nkey = model_id + \"_metadata\"\r\nbucket.upsert(key, model_metadata)<\/pre>\n
    store_model_on_couchbase(lm, feature_names, 'churn_predictor_model_v1')<\/pre>\n
    \ubaa8\ub378\uacfc \ud574\ub2f9 \uba54\ud0c0\ub370\uc774\ud130\uac00 Couchbase\uc5d0 \uc131\uacf5\uc801\uc73c\ub85c \uc800\uc7a5\ub418\uc5c8\ub294\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4.<\/p>\n
    \"\"
    \n\uacb0\ub860<\/h4>\n
    \uc774 \uae00\uc5d0\uc11c\ub294 Couchbase\uac00 \ub370\uc774\ud130 \uacfc\ud559\uc744 \uc27d\uac8c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uace0\uac1d \uc774\ud0c8 \uc608\uce21\uc744 \uc608\ub85c \ub4e4\uc5b4, \ucffc\ub9ac \uc11c\ube44\uc2a4\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud0d0\uc0c9\uc801 \ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95, Python SDK\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub300\uaddc\ubaa8 \ud559\uc2b5 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ud6a8\uc728\uc801\uc73c\ub85c \uc77d\uace0 \uc774\ub97c ML\uc5d0 \uc801\ud569\ud55c \ub370\uc774\ud130 \uad6c\uc870(\uc608: \ud310\ub2e4 \ub370\uc774\ud130 \ud504\ub808\uc784)\ub85c \uc27d\uac8c \uc800\uc7a5\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub610\ud55c \ucd5c\ub300 20MB \ud06c\uae30\uc758 ML \ubaa8\ub378\uacfc \uadf8 \uba54\ud0c0\ub370\uc774\ud130\ub97c Couchbase\uc5d0 \uc800\uc7a5\ud558\ub294 \ubc29\ubc95\ub3c4 \uc0b4\ud3b4\ubd24\uc2b5\ub2c8\ub2e4.<\/p>\n
    \ub2e4\uc74c \uae00\uc5d0\uc11c\ub294 \uc608\uce21\uc744 \ub9cc\ub4e4\uace0, \uc774\ub97c Couchbase\uc5d0 \uc800\uc7a5\ud558\uace0, \ucffc\ub9ac \ucc28\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubd84\uc11d\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
    \ub2e4\uc74c \ub2e8\uacc4<\/h4>\n
    \uba38\uc2e0 \ub7ec\ub2dd\uacfc Couchbase\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uace0 \uc2f6\ub2e4\uba74 \ub2e4\uc74c \ub2e8\uacc4\uc640 \ub9ac\uc18c\uc2a4\ub97c \ud1b5\ud574 \uc2dc\uc791\ud558\uc138\uc694:<\/p>\n