{"created":"2025-01-19T01:16:41.760665+00:00","updated":"2025-01-19T15:57:04.327662+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215962","sets":["1:10446:10669"]},"path":["10669"],"owner":"44499","recid":"215962","title":["ビッグデータのデータサイエンス ～ニューノーマル時代のビッグデータ～：招待論文：1．Apache ArrowによるRubyのデータ処理対応の可能性"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-01-15"},"_buckets":{"deposit":"be7af6f7-2d04-4977-964b-65c7efa2af67"},"_deposit":{"id":"215962","pid":{"type":"depid","value":"215962","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ビッグデータのデータサイエンス ～ニューノーマル時代のビッグデータ～：招待論文：1．Apache ArrowによるRubyのデータ処理対応の可能性","author_link":["557115","557116"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ビッグデータのデータサイエンス ～ニューノーマル時代のビッグデータ～：招待論文：1．Apache ArrowによるRubyのデータ処理対応の可能性"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"デジタルプラクティスコーナー","subitem_subject_scheme":"Other"}]},"item_type_id":"30","publish_date":"2022-01-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_30_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"（株）Speee／Red Data Tools"},{"subitem_text_value":"（株）クリアコード／Red Data Tools"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/215962/files/IPSJ-DP630201.pdf","label":"IPSJ-DP630201.pdf"},"date":[{"dateType":"Available","dateValue":"2022-01-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DP630201.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"31ef1380-75b8-493a-bb31-c799416ac219","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_30_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"村田, 賢太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"須藤, 功平"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"article"}]},"item_30_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116625","subitem_source_identifier_type":"NCID"}]},"item_30_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"RubyはWebシステムの記述言語として高い生産性を発揮し，Web業界では広く浸透している．一方，分析的データ処理への対応が弱いため，データ処理分野ではほとんど利用されていない．昨今のDX推進などの流れから，Rubyで書かれた既存システムのデータ処理への対応が近い将来必要となるだろう．そのような要求に対応するためには，前もってRubyを分析的データ処理に対応させる必要がある．本稿では，Rubyを分析的データ処理に対応させる手段としてApacheArrowが有効であることを示す．Apache Arrowは，既存のデータ処理コンポーネント間のデータ連携の非効率性を解消するために提案された，データフォーマットとAPIである．RubyをApache Arrowに対応させることで，分析的データ処理に対応できるだけでなく，データ処理分野における先進的な取り組みにRubyからアクセスできるようになる．","subitem_description_type":"Other"}]},"item_30_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"d18","bibliographic_titles":[{"bibliographic_title":"情報処理"}],"bibliographicPageStart":"d1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-01-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"63"}]},"relation_version_is_last":true,"item_30_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00215854","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"44499"},"id":215962,"links":{}}