{"id":45961,"date":"2023-04-01T15:43:49","date_gmt":"2024-01-14T11:37:32","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/45961-2\/"},"modified":"2024-04-29T21:29:30","modified_gmt":"2024-04-29T13:29:30","slug":"45961-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/45961-2\/","title":{"rendered":""},"content":{"rendered":"

\u8457\u8005 Hailing Jiang
\n\u6700\u7d42\u66f4\u65b0\u65e5 2022\u5e746\u670828\u65e5<\/p>\n

\n

\u8b66\u544a
\n\u672c\u8a18\u4e8b\u306fTeradata Corporation\u306e\u30b5\u30a4\u30c8Getting Started\u306b\u63b2\u8f09\u3055\u308c\u305f\u5185\u5bb9\u3092\u6284\u8a33\u3057\u305f\u3082\u306e\u3067\u3059\u3002\u63b2\u8f09\u5185\u5bb9\u306e\u6b63\u78ba\u6027\u30fb\u5b8c\u5168\u6027\u30fb\u4fe1\u983c\u6027\u30fb\u6700\u65b0\u6027\u3092\u4fdd\u8a3c\u3059\u308b\u3082\u306e\u3067\u306f\u3054\u3056\u3044\u307e\u305b\u3093\u3002\u6b63\u78ba\u306a\u5185\u5bb9\u306b\u3064\u3044\u3066\u306f\u3001\u539f\u672c\u3092\u3054\u53c2\u7167\u4e0b\u3055\u3044\u3002
\n\u307e\u305f\u3001\u4fee\u6b63\u304c\u5fc5\u8981\u306a\u7b87\u6240\u3084\u3001\u3054\u8981\u671b\u306b\u3064\u3044\u3066\u306f\u30b3\u30e1\u30f3\u30c8\u3092\u3088\u308d\u3057\u304f\u304a\u9858\u3044\u3057\u307e\u3059\u3002<\/p>\n<\/div>\n

\u6982\u8981<\/h1>\n

Teradata Jupyter\u62e1\u5f35\u306f\u3001Teradata SQL\u30ab\u30fc\u30cd\u30eb\u3068\u3044\u304f\u3064\u304b\u306eUI\u62e1\u5f35\u3092\u63d0\u4f9b\u3057\u3001\u30e6\u30fc\u30b6\u30fc\u304cJupyter\u74b0\u5883\u304b\u3089Teradata\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u5bb9\u6613\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3001\u64cd\u4f5c\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002Google Vertex AI\u306f\u3001Google Cloud\u306e\u65b0\u3057\u3044\u7d71\u5408ML\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u3059\u3002Vertex AI Workbench\u306f\u3001\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u5168\u4f53\u306e\u305f\u3081\u306eJupyter\u30d9\u30fc\u30b9\u306e\u958b\u767a\u74b0\u5883\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001Vertex AI\u30e6\u30fc\u30b6\u30fc\u304cML\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u3067Teradata\u62e1\u5f35\u3092\u5229\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u3001\u5f0a\u793e\u306eJupyter\u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3\u3092Vertex AI Workbench\u3068\u7d71\u5408\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n

Vertex AI Workbench\u306f\u3001\u30de\u30cd\u30fc\u30b8\u30c9\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3068\u30e6\u30fc\u30b6\u30fc\u30de\u30cd\u30fc\u30b8\u30c9\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e2\u7a2e\u985e\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u7ba1\u7406\u578b\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306b\u7126\u70b9\u3092\u5f53\u3066\u307e\u3059\u3002\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u4f7f\u7528\u3057\u3066\u30ab\u30fc\u30cd\u30eb\u3068\u62e1\u5f35\u6a5f\u80fd\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u65b9\u6cd5\u3068\u3001\u30ab\u30b9\u30bf\u30e0\u30b3\u30f3\u30c6\u30ca\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u306e2\u7a2e\u985e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

\u524d\u63d0\u6761\u4ef6<\/h1>\n

\u30fbTeradata Vantage\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3078\u306e\u30a2\u30af\u30bb\u30b9<\/p>\n

\n

\u30e1\u30e2\uff01
\nVantage\u306e\u65b0\u3057\u3044\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u304c\u5fc5\u8981\u306a\u5834\u5408\u306f\u3001Google Cloud\u3001Azure\u3001AWS\u306e\u30af\u30e9\u30a6\u30c9\u306bVantage Express\u3068\u3044\u3046\u7121\u6599\u7248\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001VMware\u3001VirtualBox\u3001\u307e\u305f\u306fUTM\u3092\u4f7f\u7528\u3057\u3066\u3001\u30ed\u30fc\u30ab\u30eb\u30de\u30b7\u30f3\u4e0a\u3067Vantage Express\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/div>\n

\u30fbVertex AI\u3092\u6709\u52b9\u306b\u3057\u305fGoogle Cloud\u30a2\u30ab\u30a6\u30f3\u30c8
\n\u30fb\u8d77\u52d5\u30b9\u30af\u30ea\u30d7\u30c8\u3068Teradata Jupyter\u62e1\u5f35\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4fdd\u5b58\u3059\u308b\u305f\u3081\u306eGoogle\u30af\u30e9\u30a6\u30c9\u30b9\u30c8\u30ec\u30fc\u30b8<\/p>\n

\u7d71\u5408\u306b\u3064\u3044\u3066<\/h1>\n

Vertex AI\u3067Teradata Jupyter Extensions\u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u30012\u3064\u306e\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

\u2460 \u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u4f7f\u7528\u3059\u308b
\n\u2461 \u30ab\u30b9\u30bf\u30e0\u30b3\u30f3\u30c6\u30ca\u3092\u4f7f\u7528\u3059\u308b<\/p>\n

\u3053\u306e2\u3064\u306e\u7d71\u5408\u65b9\u6cd5\u306b\u3064\u3044\u3066\u3001\u4ee5\u4e0b\u306b\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n

\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u4f7f\u3046<\/h1>\n

\u65b0\u3057\u3044\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3059\u308b\u969b\u306b\u3001\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u306f\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u4f5c\u6210\u5f8c\u306b\u4e00\u5ea6\u3060\u3051\u5b9f\u884c\u3055\u308c\u307e\u3059\u3002\u4ee5\u4e0b\u306f\u305d\u306e\u624b\u9806\u3067\u3059\u3002<\/p>\n

\u2460 Teradata Jupyter \u62e1\u5f35\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9
\nVantage Modules for Jupyter\u306e\u30da\u30fc\u30b8\u304b\u3089\u3001Teradata Jupyter extensions\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u30d0\u30f3\u30c9\u30ebLinux\u7248\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002
\n\u2461 Google Cloud\u306e\u30b9\u30c8\u30ec\u30fc\u30b8\u30d0\u30b1\u30c3\u30c8\u306b\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002
\n\u2462 \u8d77\u52d5\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u4f5c\u6210\u3057\u3001\u30af\u30e9\u30a6\u30c9\u30b9\u30c8\u30ec\u30fc\u30b8\u30d0\u30b1\u30c3\u30c8\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002
\n\u4e0b\u8a18\u306f\u30b5\u30f3\u30d7\u30eb\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u3059\u3002\u30af\u30e9\u30a6\u30c9\u30b9\u30c8\u30ec\u30fc\u30b8\u30d0\u30b1\u30c3\u30c8\u304b\u3089Teradata Jupyter extension\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u53d6\u5f97\u3057\u3001Teradata SQL\u30ab\u30fc\u30cd\u30eb\u3068\u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n

#! \/bin\/bash\r\n\r\ncd \/home\/jupyter\r\nmkdir teradata\r\ncd teradata\r\ngsutil cp gs:\/\/teradata-jupyter\/* .\r\nunzip teradatasql*.zip\r\n\r\n# Install Teradata kernel\r\ncp teradatakernel \/usr\/local\/bin\r\n\r\njupyter kernelspec install .\/teradatasql --prefix=\/opt\/conda\r\n\r\n# Install Teradata extensions\r\npip install --find-links . teradata_preferences_prebuilt\r\npip install --find-links . teradata_connection_manager_prebuilt\r\npip install --find-links . teradata_sqlhighlighter_prebuilt\r\npip install --find-links . teradata_resultset_renderer_prebuilt\r\npip install --find-links . teradata_database_explorer_prebuilt\r\n\r\n# PIP install the Teradata Python library\r\npip install teradataml\r\n\r\n# Install Teradata R library (optional, uncomment this line only if you use an environment that supports R)\r\n#Rscript -e \"install.packages('tdplyr',repos=c('https:\/\/r-repo.teradata.com','https:\/\/cloud.r-project.org'))\"\r\n<\/code><\/pre>\n
\u2463 \u65b0\u3057\u3044\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4f5c\u6210\u3057\u3001\u30af\u30e9\u30a6\u30c9\u30b9\u30c8\u30ec\u30fc\u30b8\u30d0\u30b1\u30c3\u30c8\u304b\u3089\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n
\"\u753b\u50cf1.png\"<\/div>\n
\u2464 \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u4f5c\u6210\u304c\u5b8c\u4e86\u3059\u308b\u307e\u3067\u3001\u6570\u5206\u304b\u304b\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u5b8c\u4e86\u3057\u305f\u3089\u3001\u300c\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u958b\u304f\u300d\u3092\u30af\u30ea\u30c3\u30af\u3057\u307e\u3059\u3002<\/p>\n
\"\u753b\u50cf2.png\"<\/div>\n
\u30ab\u30b9\u30bf\u30e0\u30b3\u30f3\u30c6\u30ca\u3092\u4f7f\u7528\u3059\u308b<\/h1>\n
\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u4f5c\u6210\u6642\u306b\u3001\u30ab\u30b9\u30bf\u30e0\u30b3\u30f3\u30c6\u30ca\u3092\u63d0\u4f9b\u3059\u308b\u65b9\u6cd5\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u2460 Teradata Jupyter \u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9
\nVantage Modules for Jupyter\u30da\u30fc\u30b8\u304b\u3089\u3001Teradata Jupyter extensions\u30d1\u30c3\u30b1\u30fc\u30b8\u30d0\u30f3\u30c9\u30ebLinux\u7248\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002
\n\u2461 \u3053\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f5c\u696d\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u30b3\u30d4\u30fc\u3057\u3001\u89e3\u51cd\u3057\u3066\u304f\u3060\u3055\u3044\u3002
\n\u2462 \u30ab\u30b9\u30bf\u30e0Docker\u30a4\u30e1\u30fc\u30b8\u306e\u69cb\u7bc9<\/p>\n
\u30ab\u30b9\u30bf\u30e0\u30b3\u30f3\u30c6\u30ca\u306f\u30018080\u756a\u30dd\u30fc\u30c8\u3067\u30b5\u30fc\u30d3\u30b9\u3092\u516c\u958b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002Google Deep Learning Containers\u30a4\u30e1\u30fc\u30b8\u304b\u3089\u6d3e\u751f\u3057\u305f\u30b3\u30f3\u30c6\u30ca\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3092\u304a\u52e7\u3081\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u30a4\u30e1\u30fc\u30b8\u306f\u3001\u30e6\u30fc\u30b6\u7ba1\u7406\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3068\u4e92\u63db\u6027\u304c\u3042\u308b\u3088\u3046\u306b\u3059\u3067\u306b\u69cb\u6210\u3055\u308c\u3066\u3044\u308b\u304b\u3089\u3067\u3059\u3002<\/p>\n
\u4ee5\u4e0b\u306f\u3001Teradata SQL\u30ab\u30fc\u30cd\u30eb\u304a\u3088\u3073\u62e1\u5f35\u6a5f\u80fd\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305fDocker\u30a4\u30e1\u30fc\u30b8\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308bDockerfile\u306e\u30b5\u30f3\u30d7\u30eb\u3067\u3059\u3002<\/p>\n
# Use one of the deep learning images as base image\r\n# if you need both Python and R, use one of the R images\r\nFROM gcr.io\/deeplearning-platform-release\/r-cpu:latest\r\n\r\nUSER root\r\n\r\n##############################################################\r\n# Install kernel and copy supporting files\r\n##############################################################\r\n\r\n# Copy the kernel\r\nCOPY .\/teradatakernel \/usr\/local\/bin\r\n\r\nRUN chmod 755 \/usr\/local\/bin\/teradatakernel\r\n\r\n# Copy directory with kernel.json file into image\r\nCOPY .\/teradatasql teradatasql\/\r\n\r\n# Copy notebooks and licenses\r\nCOPY .\/notebooks\/ \/home\/jupyter\r\nCOPY .\/license.txt \/home\/jupyter\r\nCOPY .\/ThirdPartyLicenses\/ \/home\/jupyter\r\n\r\n# Install the kernel file to \/opt\/conda jupyter lab instance\r\nRUN jupyter kernelspec install .\/teradatasql --prefix=\/opt\/conda\r\n\r\n##############################################################\r\n# Install Teradata extensions\r\n##############################################################\r\n\r\nRUN pip install --find-links . teradata_preferences_prebuilt && \\\r\n    pip install --find-links . teradata_connection_manager_prebuilt && \\\r\n    pip install --find-links . teradata_sqlhighlighter_prebuilt && \\\r\n    pip install --find-links . teradata_resultset_renderer_prebuilt && \\\r\n    pip install --find-links . teradata_database_explorer_prebuilt\r\n\r\n# Give back ownership of \/opt\/conda to jovyan\r\nRUN chown -R jupyter:users \/opt\/conda\r\n\r\n# PIP install the Teradata Python libraries\r\nRUN pip install teradataml\r\n\r\n# Install Teradata R library (optional, include it only if you use a base image that supports R)\r\nRUN Rscript -e \"install.packages('tdplyr',repos=c('https:\/\/r-repo.teradata.com','https:\/\/cloud.r-project.org'))\"\r\n<\/code><\/pre>\n
\u2463 \u4f5c\u696d\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\uff08Teradata Jupyter extensions\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u89e3\u51cd\u3057\u305f\u5834\u6240\uff09\u3067\u3001docker build\u3092\u5b9f\u884c\u3057\u3066\u30a4\u30e1\u30fc\u30b8\u3092\u30d3\u30eb\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
docker build -f Dockerfile imagename:imagetag .\r\n<\/code><\/pre>\n
\u2464 docker \u30a4\u30e1\u30fc\u30b8\u3092 Google \u30b3\u30f3\u30c6\u30ca\u30ec\u30b8\u30b9\u30c8\u30ea\u307e\u305f\u306f\u30a2\u30fc\u30c6\u30a3\u30d5\u30a1\u30af\u30c8\u30ec\u30b8\u30b9\u30c8\u30ea\u306b\u30d7\u30c3\u30b7\u30e5\u3059\u308b\u3002
\ndocker \u30a4\u30e1\u30fc\u30b8\u3092\u30ec\u30b8\u30b9\u30c8\u30ea\u306b\u30d7\u30c3\u30b7\u30e5\u3059\u308b\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
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\"\u753b\u50cf3.png\"<\/div>\n
\u3055\u3089\u306b\u8a73\u3057\u304f<\/h1>\n
\u30fbTeradata Jupyter Extensions Website
\n\u30fbTeradata Vantage\u2122 Modules for Jupyter Installation Guide
\n\u30fbTeradata\u00ae Package for Python User Guide
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Teradata Vantage\u3078\u306e\u304a\u554f\u5408\u305b<\/h4>\n
Teradata Vantage \u3078\u306e\u304a\u554f\u5408\u305b<\/p>\n","protected":false},"excerpt":{"rendered":"
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