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Serverless Data Processing with Dataflow

Operations - 日本語版

Google Cloud Training

Dataflow シリーズの最後のコースでは、Dataflow 運用モデルのコンポーネントを紹介します。パイプラインのパフォーマンスのトラブルシューティングと最適化に役立つツールと手法を検証した後で、Dataflow パイプラインのテスト、デプロイ、信頼性に関するベストプラクティスについて確認します。最後に、数百人のユーザーがいる組織に対して Dataflow パイプラインを簡単に拡張するためのテンプレートについても確認します。これらの内容を習得することで、データプラットフォームの安定性を保ち、予期せぬ状況に対する回復力を確保できるようになります。

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What's inside

Syllabus

はじめに

このモジュールではコースの概要を説明します。

モニタリング

このモジュールでは、ジョブリストのページを使用して、モニタリングまたは調査を行うジョブをフィルタする方法を学習します。ジョブグラフ、ジョブ情報、ジョブの指標の各タブがどのように連携して Dataflow ジョブの包括的な概要を提供しているかを見ていきます。最後に、Dataflow と Metrics Explorer との統合を利用して、Dataflow 指標のアラートポリシーを作成する方法を学びます。

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

学んだことを基にデータプラットフォームの安定性強化と予期せぬ状況に対する回復力の向上が図れる

Dataflowの可用性、パフォーマンス、信頼性を向上させるための実用的な手法を学ぶ

Google Cloud Trainingが提供する信頼性の高い情報

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Reviews summary

Dataflow運用と安定化の実践ガイド

学生によると、このコースはDataflowの運用に特化しており、実務に直結する内容が非常に役立つとされています。特にモニタリング、ロギング、エラー報告、そしてトラブルシューティングとデバッグに関する実践的なアプローチが高く評価されています。また、パイプラインのパフォーマンス最適化やテスト、CI/CDのベストプラクティス、信頼性の高いシステム構築についても深く学べる点が強調されています。Flexテンプレートの活用法も、運用の標準化と効率化に貢献すると評価されています。一方で、一部の学生からはDataflowの基礎知識が前提とされており、初心者にはやや難易度が高いとの意見も見られます。

パイプラインの標準化と再利用を促進する。

"Flexテンプレートの使い方も理解でき、効率化に繋がります。"

"データエンジニアリングチームがDataflowパイプラインコードを標準化して再利用するのに役立つ機能であると実感しました。"

"Flexテンプレートの紹介は、運用の効率化に不可欠な知識を与えてくれました。"

パイプラインの安定性と効率性を高める。

"これまで漠然としていたDataflowのパフォーマンス最適化について、具体的なヒントをたくさん得られました。"

"運用の自動化と効率化に焦点を当てており、まさに求めていた内容でした。"

"障害対応や復旧戦略が丁寧に解説されており、大変勉強になりました。"

Dataflowの運用に関する具体的な手法を提供。

"Dataflowの運用に特化した内容で、特にモニタリングとトラブルシューティングのセクションが非常に役立ちました。"

"データ処理の運用課題に対する実践的なアプローチが豊富でした。"

"このコースのおかげで、本番環境でのDataflowパイプラインの安定運用に自信が持てるようになりました。"

特定の複雑なデバッグケースに関する詳細が不足。

"もう少し複雑な障害シナリオのデバッグに関する掘り下げがあれば完璧でした。"

"一般的な問題解決はカバーされていますが、よりニッチなトラブルシューティングの事例が見たかったです。"

"特定のパフォーマンス問題やデッドロック解決に関するより深い洞察を期待していました。"

Dataflowの基礎知識が必要で、初心者には難しい。

"内容は良いのですが、Dataflowの基礎知識が前提とされている部分が多く、私のような初心者には少し難しかったです。"

"パイプライン構築の経験がないとついていくのが大変かもしれません。"

"期待していましたが、私には情報が多すぎて消化不良でした。各トピックの説明がやや駆け足だと感じました。"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Serverless Data Processing with Dataflow: Operations - 日本語版 with these activities:

コース資料を整理する

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コース資料を整理することで、重要な概念を強調し、理解を深めます。

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講義資料、課題、クイズ、試験を整理して、1 か所にまとめる
関連するトピックやモジュールごとに資料を分類する
重要な概念、用語、数式をハイライトする

Organize and review course materials regularly

Show steps

Regularly organizing and reviewing course materials will help you retain information more effectively and identify areas where you may need additional support.

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Set aside dedicated time for reviewing course materials
Create summaries or notes to reinforce your understanding
Identify any gaps in your knowledge and seek clarification

Identify a mentor who can provide guidance on Dataflow pipeline design and implementation

Show steps

Finding a mentor who specializes in Dataflow can provide you with personalized guidance and support, accelerating your learning and helping you avoid common pitfalls.

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Network with professionals in the field of Dataflow
Attend industry events and conferences
Reach out to potential mentors and schedule introductory meetings

Five other activities

Expand to see all activities and additional details

Show all eight activities

Review Cloud Monitoring fundamentals

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Brushing up on Cloud Monitoring fundamentals will help you understand how to monitor your Dataflow pipelines effectively.

Browse courses on Cloud Monitoring

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Review the Cloud Monitoring documentation
Set up a simple monitoring dashboard for a project

Google Cloud Platform のチュートリアルをフォローする

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Google の専門家が作成したステップバイステップのガイドを介して、Dataflow の実用的な側面を学びます。

Browse courses on Dataflow

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関連するチュートリアルを GCP のドキュメントから特定する
チュートリアルに記載されている手順を注意深く実行する
チュートリアルのコンセプトとコードを実践的なプロジェクトに適用する

練習問題を解く

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Dataflow パイプラインを構築するための実践的な経験を提供します。

Browse courses on Dataflow

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Dataflow のドキュメントから練習問題を探す
提供されているコードのサンプルを分析する
独自の問題を考案し、解決する

ワークショップに参加する

Show steps

業界の専門家から直接学び、Dataflow の詳細な側面について深く掘り下げることができます。

Browse courses on Dataflow

Show steps

Dataflow 関連のワークショップを見つける
ワークショップに登録して、参加する
講師や参加者と積極的に交流し、質問する

Dataflow パイプラインを構築するプロジェクトに取り組む

Show steps

現実的なパイプラインを構築することで、Dataflow の概念を適用し、運用上の課題を解決する能力をテストします。

Browse courses on Dataflow

Show steps

現実的なビジネス要件に基づいてプロジェクトを定義する
適切な Dataflow テクノロジーを選択する
パイプラインを設計、構築、テストする
パイプラインをデプロイして、結果を分析する

Career center

Learners who complete Serverless Data Processing with Dataflow: Operations - 日本語版 will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers use their knowledge of programming and big data tools to design, build, test, and maintain scalable data pipelines. This course may help a Data Engineer build a foundation in Dataflow operations, which is a crucial step in ensuring that data pipelines are efficient, reliable, and scalable. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Data Engineer

Big Data Architect

Big Data Architects design and manage big data solutions that meet the needs of an organization. This course may help a Big Data Architect build a foundation in Dataflow operations, which is essential for designing and managing efficient, reliable, and scalable big data solutions. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Big Data Architect

Data Analyst

Data Analysts use their knowledge of data analysis and statistics to extract insights from data. This course may help a Data Analyst build a foundation in Dataflow operations, which can be helpful for working with large datasets. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of machine learning and statistics to build models that can predict future outcomes. This course may help a Data Scientist build a foundation in Dataflow operations, which can be helpful for working with large datasets. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, test, and maintain software systems. This course may help a Software Engineer build a foundation in Dataflow operations, which can be helpful for working on big data projects. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Software Engineer

Cloud Architect

Cloud Architects design and manage cloud computing solutions that meet the needs of an organization. This course may help a Cloud Architect build a foundation in Dataflow operations, which is essential for designing and managing efficient, reliable, and scalable cloud solutions. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

DevOps Engineers work to bridge the gap between development and operations teams. This course may help a DevOps Engineer build a foundation in Dataflow operations, which can be helpful for working on big data projects. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for DevOps Engineer

Data Warehouse Manager

Data Warehouse Managers are responsible for managing and maintaining data warehouses. This course may help a Data Warehouse Manager build a foundation in Dataflow operations, which can be helpful for working with large datasets. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Data Warehouse Manager

Database Administrator

Database Administrators are responsible for managing and maintaining databases. This course may help a Database Administrator build a foundation in Dataflow operations, which can be helpful for working with large datasets. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Database Administrator

Data Science Manager

Data Science Managers are responsible for managing and leading data science teams. This course may help a Data Science Manager build a foundation in Dataflow operations, which can be helpful for working with large datasets. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Data Science Manager

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. This course may help a Machine Learning Engineer build a foundation in Dataflow operations, which can be helpful for working with large datasets. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Machine Learning Engineer

Big Data Analyst

Big Data Analysts use their knowledge of big data tools and techniques to analyze large datasets. This course may help a Big Data Analyst build a foundation in Dataflow operations, which is essential for working with large datasets. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Big Data Analyst

Data Architect

Data Architects design and manage data architectures that meet the needs of an organization. This course may help a Data Architect build a foundation in Dataflow operations, which is essential for designing and managing efficient, reliable, and scalable data architectures. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Data Architect

Product Manager

Product Managers are responsible for managing and developing products. This course may be helpful for a Product Manager who is working on a product that uses big data. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts use their knowledge of business and technology to analyze and solve business problems. This course may be helpful for a Business Analyst who is working on a project that uses big data. This course is especially helpful because it provides hands-on experience with Dataflow, which is one of the most popular big data processing tools on the market.

See salaries and explore the career path for Business Analyst

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Serverless Data Processing with Dataflow: Operations - 日本語版 .