Learning Resources
Learning ResourcesWelcome to our learning resources. This page contains a collection of resources that will help you to get started and use Apache Beam. If you’re just starting, you can view this as a guided tour, otherwise you can jump straight to any section of your interest. If you have additional material that you would like to see here, please let us know at [email protected]! Getting Star
Beam WordCount Examples
Apache Beam WordCount ExamplesThe WordCount examples demonstrate how to set up a processing pipeline that can read text, tokenize the text lines into individual words, and perform a frequency count on each of those words. The Beam SDKs contain a series of these four successively more detailed WordCount examples that build on each other. The input text for all the examples is a set of Shakespeare’s
Spotify Scio - Google Dataflow 㮠Scala言語版 - Qiita
Google GCP(Google版AWS)ã®Dataflowサービスを使ã£ã¦ã¿ã¾ã—ãŸã€‚ Dataflowã¨ã¯ã€ãã®åã®é€šã‚Šã€è†¨å¤§ãªãƒ‡ãƒ¼ã‚¿ã‚’Googleã”自慢ã®åˆ†æ•£ç’°å¢ƒã‚’使用ã—ã¦ä¸¦åˆ—ã§çˆ†é€Ÿå‡¦ç†ã—ã¦ãれるã€ãƒ“ッグクエリーã¨åŒã˜GCPã®ãƒžãƒãƒ¼ã‚¸ãƒ‰ã‚µãƒ¼ãƒ“スã®ï¼‘ã¤ã§ã™ã€‚ 使用ã§ãるオフィシャルãªãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã¯ã€Javaã¨Pythonã®ã¿ã§ã™ãŒã€ Spotifyã‹ã‚‰ã€Scioã¨ã„ã†Scalaã®ãƒ©ã‚¤ãƒ–ラリãŒæä¾›ã•ã‚Œã¦ã„ã¾ã™ã®ã§ä»Šå›žä½¿ç”¨ã—ã¦ã¿ã¾ã—ãŸã€‚ Dataflowã§ã¯ã€ãƒ‘イプラインを作æˆã—ã€å…¥åŠ›ã€å¤‰æ›1ã€å¤‰æ›2...変æ›Nã€å‡ºåŠ›ã®ï¼“ステップã§æ§‹æˆã—ã¾ã™ã€‚関数型言語ã®Scalaã¯ã€å¤‰æ›ãƒã‚¸ãƒƒã‚¯ã‚’ラムダå¼ã§ã‚³ãƒ³ãƒ‘クトã«è¨˜è¿°ã§ãã‚‹ãŸã‚ã€Javaよりもコードé‡ãŒå°‘ãªãã¦æ¸ˆã¿ã¾ã™ã€‚ Spotifyã§ã¯ã€Kafkaã‹ã‚‰Dataflowã¸ç§»è¡Œã™ã‚‹éš›ã«ã€Scalaã§è¨˜è¿°ã§ãるよã†ã«Scioライブラリを開発ã—ãŸ
Digdag x Luigi x Beam ãŒå”力ã—ã¦è³¢è€…ã®çŸ³ã‚’å–ã‚Šã«è¡Œãã®ã‚’ã‚„ã‚㟠- Qiita
TL;DR å‰ä»»è€…ãŒé—‡ã®é”法使ã„ã ã£ãŸã¨ã„ã†è©± Workflow Engine ã¯æ··ãœã‚‹ãªå±é™º ãƒã‚¨ãƒ ãªã®ã§ã‚³ãƒ¼ãƒ‰ã¨ã‹ãªã„ 出ã¦ãる言葉ã«ã¤ã„ã¦ã¯èªžã‚‰ãªã„ã®ã§ã„ãらã‹å‰æ知è˜ãŒå¿…è¦ Prologue 「ãƒãƒªãƒ¼ãƒ»ãƒãƒƒã‚¿ãƒ¼ã¨è³¢è€…ã®çŸ³ã€ã§ãƒãƒªãƒ¼ãƒ»ãƒãƒƒã‚¿ãƒ¼ã€ãƒãƒ³ãƒ»ã‚¦ã‚£ãƒ¼ã‚ºãƒªãƒ¼ã€ãƒãƒ¼ãƒžã‚¤ã‚ªãƒ‹ãƒ¼ãƒ»ã‚°ãƒ¬ãƒ³ã‚¸ãƒ£ãƒ¼ã®ä¸‰äººã¯ãã‚Œãžã‚ŒãŒå½¹å‰²ã‚’分担ã—ã¦ãƒ‘スを繋ãŽè³¢è€…ã®çŸ³ã¸ã¨è¾¿ã‚Šç€ã„ã¦ã„ã¾ã—ãŸã€‚ Workflow Engine ã¨å‘¼ã°ã‚Œã‚‹ã‚ˆã†ãªã‚‚ã®ã¯ã‚ˆã†ã¯ãã†ã„ã†é¢¨ã«ã‚¿ã‚¹ã‚¯ã§å‡¦ç†ã‚’独立ã•ã›ã¤ã¤é †åºã«å¾“ã£ã¦å‡¦ç†ã™ã‚‹ãŸã‚ã®ä»•çµ„ã¿ã§ã™ã。 例ãˆã° YAML ベース㮠Digdag ã¨ã‹ã€ Python ã§è¨˜è¿°ã™ã‚‹ Luigi ã¨ã‹ã€Java ã‚„ Python 㧠Cloud Dataflow (Apache Beam) ã¨ã‹è‰²ã€…ã‚ã‚Šã¾ã™ã€‚ ç§ã¯æœ€è¿‘ ã“ã‚Œ を使ã£ã¦ãƒã‚°ã‚’分æžã—ã¦è³¢è€…ã®çŸ³ã«è¾¿ã‚Šç€ããŸã‚ã®ãƒ‡ãƒ¼ã‚¿åˆ†æžåŸºç›¤ã®æ‹…当
Apache Beam®
Introducing Apache BeamThe Unified Apache Beam ModelThe easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Link to GitHub Repo Introducing Apache BeamThe Unified Apache Beam ModelThe easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production w
Beam Programming Guide
Apache Beam Programming GuideThe Beam Programming Guide is intended for Beam users who want to use the Beam SDKs to create data processing pipelines. It provides guidance for using the Beam SDK classes to build and test your pipeline. The programming guide is not intended as an exhaustive reference, but as a language-agnostic, high-level guide to programmatically building your Beam pipeline. As th
Dataflow: ストリーミング分æž
リアルタイムデータã®å¯èƒ½æ€§ã‚’最大é™ã«å¼•ã出ã—ã¾ã™ã€‚Dataflow ã¯ã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã®æ„æ€æ±ºå®šã¨ã‚«ã‚¹ã‚¿ãƒžãƒ¼ ã‚¨ã‚¯ã‚¹ãƒšãƒªã‚¨ãƒ³ã‚¹ã‚’åŠ é€Ÿã™ã‚‹ã®ã«å½¹ç«‹ã¤ã€ä½¿ã„ã‚„ã™ãã¦ã‚¹ã‚±ãƒ¼ãƒ©ãƒ–ルãªãƒ•ãƒ«ãƒžãƒãƒ¼ã‚¸ãƒ‰ ストリーミング プラットフォームã§ã™ã€‚
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Amazon.co.jp: スケーラブルデータサイエンス データエンジニアã®ãŸã‚ã®å®Ÿè·µGoogle Cloud Platform: Valliappa Lakshmanan (è‘—), ä¸äº•æ‚¦å¸ (監修), 長谷部光治 (監修), 葛木美紀 (翻訳): 本
GitHub - spotify/scio: A Scala API for Apache Beam and Google Cloud Dataflow.
- ASF JIRA
beam/sdks/go at master · apache/beam
Beam Quickstart for Go
GitHub - apache/beam: Apache Beam is a unified programming model for Batch and Streaming data processing.
Apache Beam - Wikipedia
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