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Google Cloud Training

このコースは、受験資格のある受験者が自信を持って試験を受けられるように支援する情報、およびまだ受験資格のない方が試験対策を進める際に役立つ情報を提供します。

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What's inside

Syllabus

本コースについて
はじめに
Professional Data Engineer 認定資格について
認定資格試験に関する基本的な知識を習得し、試験のプロセスや性質に関する混同や誤解を取り除きます。
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データ処理システムの設計
試験で出題される可能性があるデータ処理システムの設計スキル、データ構造のスキル、データベースのスキルに関するヒントと例。
データ処理システムの構築と運用化
各部分からのデータ処理の組み立てと、フルサービスの利用を含む、データ処理システムの構築に関するヒントと例。
機械学習モデルの運用化
試験で出題される可能性があるデータ分析、ビジネス プロセスの分析と最適化、機械学習の各スキルに関するヒントと例。
セキュリティ、ポリシー、信頼性
試験で出題される可能性がある信頼性、ポリシー、セキュリティ、コンプライアンスの各スキルに関するヒントと例。
リソースと次のステップ
試験で出題される可能性がある特定のテーマの詳細を学習するためのリソースの確認

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
試験対策のヒントと例を提供し、試験を受ける準備をサポートする。
信頼性、ポリシー、セキュリティ、コンプライアンスのスキルに関するヒントと例をカバーする。
入学資格のない受験者でも、試験対策を始めるのに役立つ情報を提供する。
業界認定であるため、資格取得者は履歴書に記載することで、ビジネス上の信頼を高めることができる。
大規模データの処理、分析、機械学習のモデル運用化、データシステムの設計や構築などの、データエンジニアに求められる幅広いスキルに関するヒントと例を提供する。
Google Cloud Trainingの講師による指導で、業界の専門知識を得られる。

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Reviews summary

Google cloud professional data engineer exam review

All 1 reviewers gave this course a perfect score. The single review mentions the course covers a lot of ground in data engineering solutions using Google Cloud, which students seem excited about.
Reviews indicate this course covers a lot of ground in the subject of datacenter operations.
"Google Cloud を用いたデータエンジニアリングのソリューションをひとさらいしてきた。"

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 Preparing for the Google Cloud Professional Data Engineer Exam 日本語版 with these activities:
整理:コース資料のまとめ
コース資料を整理することで、学習内容をより簡単にレビューして理解することができます。
Show steps
  • 講義ノート、スライド、課題を整理する
  • 重要な概念と用語の要約を作成する
  • 関連するリソースや追加資料をまとめる
Show all one activities

Career center

Learners who complete Preparing for the Google Cloud Professional Data Engineer Exam 日本語版 will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers implement and maintain data pipelines, ensuring that data is transformed, integrated, and delivered reliably. This course may be useful to those who are interested in entering or advancing their career in Data Engineering, as it provides a foundation in the principles and practices of data processing systems design, data analysis, and machine learning operations. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Machine Learning Engineer
Machine Learning Engineers design and implement machine learning models to solve real-world problems. This course may be useful to those who are interested in entering or advancing their career in Machine Learning Engineering, as it provides a foundation in the principles and practices of data processing systems design, data analysis, and machine learning operations. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Scientist
Data Scientists use their knowledge of data analysis, machine learning, and statistics to extract insights from data. This course may be useful to those who are interested in entering or advancing their career in Data Science, as it provides a foundation in the principles and practices of data processing systems design, data analysis, and machine learning operations. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Architect
Data Architects design and implement data management solutions that meet the needs of an organization. This course may be useful to those who are interested in entering or advancing their career in Data Architecture, as it provides a foundation in the principles and practices of data processing systems design, data analysis, and machine learning operations. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful to those who are interested in entering or advancing their career in Software Engineering, as it provides a foundation in the principles and practices of data processing systems design and implementation. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. This course may be useful to those who are interested in entering or advancing their career in Data Analysis, as it provides a foundation in the principles and practices of data processing systems design and data analysis. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Cloud Architect
Cloud Architects design and implement cloud computing solutions that meet the needs of an organization. This course may be useful to those who are interested in entering or advancing their career in Cloud Architecture, as it provides a foundation in the principles and practices of data processing systems design and implementation. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course may be useful to those who are interested in entering or advancing their career in DevOps Engineering, as it provides a foundation in the principles and practices of data processing systems design and implementation. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Database Administrator
Database Administrators manage and maintain databases. This course may be useful to those who are interested in entering or advancing their career in Database Administration, as it provides a foundation in the principles and practices of data processing systems design and database management. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Project Manager
Project Managers plan and execute projects. This course may be useful to those who are interested in entering or advancing their career in Project Management, as it provides a foundation in the principles and practices of data processing systems design and project management. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Business Analyst
Business Analysts work with stakeholders to define and analyze business needs. This course may be useful to those who are interested in entering or advancing their career in Business Analysis, as it provides a foundation in the principles and practices of data processing systems design and data analysis. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Visualization Specialist
Data Visualization Specialists design and create data visualizations that communicate data insights to stakeholders. This course may be useful to those who are interested in entering or advancing their career in Data Visualization, as it provides a foundation in the principles and practices of data processing systems design and data visualization. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Governance Specialist
Data Governance Specialists develop and implement data governance policies and procedures. This course may be useful to those who are interested in entering or advancing their career in Data Governance, as it provides a foundation in the principles and practices of data processing systems design and data governance. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Integration Specialist
Data Integration Specialists design and implement data integration solutions. This course may be useful to those who are interested in entering or advancing their career in Data Integration, as it provides a foundation in the principles and practices of data processing systems design and data integration. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Privacy Specialist
Data Privacy Specialists develop and implement data privacy policies and procedures. This course may be useful to those who are interested in entering or advancing their career in Data Privacy, as it provides a foundation in the principles and practices of data processing systems design and data privacy. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.

Reading list

We've selected 12 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 Preparing for the Google Cloud Professional Data Engineer Exam 日本語版.
This study guide is designed to help you prepare for the Google Cloud Certified Professional Data Engineer exam. It covers all of the topics that are tested on the exam, and it includes practice questions and hands-on exercises to help you master the material.
Provides a comprehensive overview of the principles and practices of designing data-intensive applications. It covers a wide range of topics, including data modeling, data storage, data processing, and data analysis.
Provides a practical guide to building and deploying machine learning models. It covers a wide range of topics, including data preparation, model training, model evaluation, and model deployment.
この本は、アルゴリズムの基礎を学ぶためのアクセスしやすいガイドです。各アルゴリズムの直感的な説明と図解が含まれており、初心者にも理解しやすいようになっています。
Provides a practical guide to releasing software. It covers a wide range of topics, including release planning, release management, and release testing.
Provides a comprehensive overview of the principles and practices of site reliability engineering. It covers a wide range of topics, including system design, system monitoring, and incident response.
この本は、Apache Spark の包括的なガイドです。Spark の基本から高度なトピックまで、各トピックを網羅しています。
この本は、ビジネス上の意思決定にデータサイエンスを使用するための実践的なガイドです。データの収集と分析から、ビジネス上の洞察の抽出と意思決定への適用まで、各トピックを網羅しています。
この本は、一般的な SQL クエリの解決策を提供するリファレンスです。データの取得からデータの操作まで、各トピックを網羅しています。
この本は、Linux コマンドラインとシェルスクリプティングの包括的なガイドです。基本的なコマンドから高度なスクリプティングまで、各トピックを網羅しています。
この本は、Python プログラミング言語の包括的なリファレンスです。構文から標準ライブラリまで、各トピックを網羅しています。

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