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LINEのデータ分析組織の紹介 / Introduction to LINE data ana...

LINEのデータ分析組織の紹介 / Introduction to LINE data analysis organization

LINE株式会社 Data Platform室 Data Solutionsチーム マネージャー 副田俊介

Data Engineering Study #9「企業規模別に見る、データエンジニア組織の作り方」での発表資料です
https://forkwell.connpass.com/event/214982/

LINE Developers

August 03, 2021
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  1. 副田俊介 Shunsuke SOEDA Manager, Data Solutions Team, Data Platform Dept.,

    Data Engineering Center Postdoctoral Researcher → SWE in Partnership, global web company → Engineer in Japanese media and HR giant Join LINE in 2016 PdM in LINE Ads Platform + Data Labs → PdM + Manager in Data Platform
  2. Agenda 1. Introduction of LINE 2. Architecture & Scale 3.

    History 4. Organizations 5. Conclusion 3
  3. Data Flow & Architecture 8 On premises OSS + 商用ソフト

    + 独自開発システム Information Universe
  4. Tool/API Compute Storage Data Governance HDFS HBase Elasticsearch Kafka YARN

    Kubernetes Hive Spark Trino Flink Ranger Yanagishima OASIS LINE Analytics IU Web Tableau Jupyter RStudio Datahub Central Dogma Kibana Grafana Prometheus 9 Information Universe Technical Stack
  5. データ利活用方針の変遷 12 複数の 分析環境 By service データの 集約と 組織化 Data

    Labs サービス側 への開放 Data open 2016年3月 2018年5月 Startup Centralized Distributed ߴ౓Խ ͍ͨ͠ εέʔϧ ͠ͳ͍
  6. Data Open 推進に向けた組織 13 One stop data org Separation of

    platform %BUB-BCT %BUB&OHJOFFSTJO .FTTBHJOH1MBUGPSN 2018年5月 2019年3月 .BDIJOF-FBSOJOH %BUB4DJFODF %BUB.BOBHFNFOU %BUB1MBUGPSN %BUB &OHJOFFSJOH %BUB1MBOOJOH .BDIJOF -FBSOJOH %BUB4DJFOUJTUT
  7. 組織構成と役割 15 LINE Data Engineering Center Data Platform Department データ基盤の

    運用と高度化 Data Management Department データ活用の促 進とルール整備 Data Science Center Machine Learning Department 機械学習関係の 開発・運用 Data Science Department データの分析に よる問題解決 LINE Data Engineering Center Data Platform Department Data Management Department Data Science Center Machine Learning Department Data Science Department
  8. Data Platform Department 16 LINE Data Engineering Center Data Platform

    Department Data Platform Engineering Web & API Development Data ETL Product Management Technical Consultation Data Management Department Data Science Center Machine Learning Department Data Science Department LINE Data Engineering Center Data Platform Department Data Management Department Data Science Center Machine Learning Department Data Science Department
  9. 他組織とのかかわり • データの管理や活用について、サービスが self serve できる体制に移行中 • 専門の機械学習・統計分析チームを持つ サービスもある サービス

    企画・開発 •データ利用のルールに関して共同して策定 •リスクのあるデータ利用に関しては都度 チェック セキュリティ センター
  10. Challenges 2021.5.19 Future of LINE Data Platform CLOSING THE DISTANCE

    Data Reactivity Data Democracy Data Observability Always Data-driven As ML infrastructure LINE CODE 04
  11. Data Management Department 24 LINE Data Engineering Center Data Platform

    Department Data Management Department Data Strategy Data Governance Data Product Biz Consultation Inquiry Management Data Science Center Machine Learning Department Data Science Department LINE Data Engineering Center Data Platform Department Data Management Department Data Science Center Machine Learning Department Data Science Department