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Modernizing Data Lakes and Data Warehouses with GCP 日本語版

Google Cloud Training

"すべてのデータ パイプラインには、データレイクとデータ ウェアハウスという 2 つの主要コンポーネントがあります。このコースでは、各ストレージ タイプのユースケースを紹介し、Google Cloud で利用可能なデータレイクとデータ ウェアハウスのソリューションを技術的に詳しく説明します。また、データ エンジニアの役割や、効果的なデータ パイプラインが事業運営にもたらすメリットについて確認し、クラウド環境でデータ エンジニアリングを行うべき理由を説明します。

これは「Data Engineering on Google Cloud」シリーズの最初のコースです。このコースを修了したら、「Building Batch Data Pipelines on Google Cloud」コースに登録してください。"

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What's inside

Syllabus

はじめに
このモジュールでは「Data Engineering on Google Cloud」コースシリーズと、この「Modernizing Data Lakes and Data Warehouses with Google Cloud」コースについて紹介します。
データ エンジニアリングの概要
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
業界でスタンダードとなったデータレイクを利用できます。
クラウド環境でデータエンジニアリングの第一歩を踏み出せます。
データレイクとデータウェアハウスの基本を学習できます。
Google Cloudのプラットフォームを活用したデータ管理を学べます。

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Reviews summary

Gcpデータレイク・ウェアハウス入門とデータエンジニアリング

「受講者によると」、このコースはGoogle Cloudにおけるデータレイクとデータウェアハウスの概念を体系的に学ぶのに適しています。データエンジニアの役割や、クラウド環境でのデータエンジニアリングの基本を明確に解説しており、特にBigQueryやCloud Storageといった主要サービスの理解を深めるのに役立つと評価されています。一部の受講者は日本語での専門用語解説を高く評価しており、GCPの経験が少ない方でも入門として学びやすいと感じています。しかし、より実践的なハンズオン演習が不足しているという声もあり、このコース単独で実務レベルのスキル習得には追加学習が必要との意見も見られます。全体として、データエンジニアリングの全体像を把握し、GCPの基礎を築くための優れた出発点であると言えます。
初心者にも分かりやすく、日本語解説が理解を深めます。
"初心者にも優しい内容で、GCPの経験がなくてもついていけました。"
"日本語版は貴重です。専門用語も日本語で解説されており、理解が深まりました。"
"全くの初心者には良いかもしれません。概念の紹介が丁寧です。"
Google Cloudのデータサービス基礎を体系的に学べます。
"GCPのデータレイクとウェアハウスの基礎を学ぶのに最適でした。特にBigQueryの概念がよく理解できました。"
"Google Cloudのサービスが体系的に学べる良い機会でした。各モジュールの説明も分かりやすいです。"
"既存の知識の整理に役立ちました。最新のGCPサービスに触れられるのは良い点です。"
データエンジニアとして実務に必要な追加学習が推奨されます。
"このコースはあくまで入門レベルです。実務レベルのスキルを身につけるには別途学習が必要だと感じました。"
"このコースだけではデータエンジニアとして活躍するのは難しいと感じました。"
"基礎固めには良いが、具体的な設計や運用については他のリソースが必要です。"
概念の理解に重点を置き、実務的な演習は限られます。
"デモは分かりやすいのですが、自分で手を動かす演習が少ないのが残念です。"
"もっと実践的な内容を期待していました。このコースだけではデータエンジニアとして活躍するのは難しいと感じました。"
"内容は網羅的ですが、もう少し深い技術的な掘り下げがあればもっと良かったです。概念の紹介にとどまる部分がありました。"

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 Modernizing Data Lakes and Data Warehouses with GCP 日本語版 with these activities:
Review the basics of data engineering
Brush up on the fundamental concepts and vocabulary of data engineering to ensure a strong foundation for this course.
Browse courses on Data Engineering
Show steps
  • Review online tutorials and articles on data engineering concepts.
  • Complete a practice quiz or assessment to test your understanding.
Attend a data engineering meetup or conference
Connect with other data engineers, learn about industry trends, and discover new tools and technologies.
Browse courses on Data Engineering
Show steps
  • Find a local data engineering meetup or conference.
  • Register for the event and attend.
  • Network with other attendees and speakers.
Join a study group with other students taking the course
Enhance your learning experience by collaborating with peers, discussing course material, and working on assignments together.
Browse courses on Collaboration
Show steps
  • Reach out to other students in your class and propose forming a study group.
  • Meet regularly to discuss the course material, complete assignments, and prepare for exams.
  • Share resources, notes, and insights with your group members.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow a tutorial on building a data lake on Cloud Storage
Gain hands-on experience in setting up a data lake on Google Cloud Platform, which is a key component of data engineering pipelines.
Browse courses on Data Lake
Show steps
  • Find a reputable tutorial on building a data lake on Cloud Storage.
  • Follow the tutorial step-by-step, creating your own data lake in the process.
  • Test your data lake by uploading and querying data.
Create a blog post or article on a data engineering topic
Solidify your understanding of data engineering by sharing your knowledge with others.
Browse courses on Data Engineering
Show steps
  • Choose a specific data engineering topic that you are knowledgeable about.
  • Research and gather information on the topic.
  • Write a well-structured blog post or article, explaining the topic in a clear and engaging manner.
  • Publish your blog post or article on a platform where it can reach a relevant audience.
Develop a data pipeline for a simple use case
Apply your knowledge of data engineering by designing and implementing a data pipeline that addresses a specific use case.
Browse courses on Data Pipeline
Show steps
  • Identify a simple use case for a data pipeline.
  • Design the data pipeline architecture, including data sources, transformations, and destination.
  • Implement the data pipeline using Google Cloud Platform services.
  • Test and evaluate the performance of the data pipeline.
Contribute to an open-source data engineering project
Deepen your understanding of data engineering by contributing to a real-world project and collaborating with other developers.
Browse courses on Open Source
Show steps
  • Find an open-source data engineering project that aligns with your interests.
  • Identify an area where you can make a contribution.
  • Submit a pull request with your proposed changes.
  • Collaborate with the project maintainers to refine and merge your contribution.
Build a data pipeline to address a personal or professional problem
Apply your skills to solve a real-world problem, solidifying your understanding of data engineering and its practical applications.
Browse courses on Data Pipeline
Show steps
  • Identify a personal or professional problem that can be solved using a data pipeline.
  • Design and implement a data pipeline using Google Cloud Platform services.
  • Deploy the data pipeline and monitor its performance.
  • Evaluate the results and make improvements as needed.

Career center

Learners who complete Modernizing Data Lakes and Data Warehouses with GCP 日本語版 will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers oversee big data pipelines and ensure data integrity and accessibility. This course provides a solid foundation in data lakes, data warehouses, and cloud-based data engineering, all of which are essential aspects of modern data engineering. By understanding the concepts and technologies covered in this course, you can gain an advantage in the competitive field of data engineering.
See salaries and explore the career path for Data Engineer
Data Analyst
Data Analysts use data to derive insights and solve business problems. This course helps build a foundation in modern data storage and processing technologies, which are essential for data analysis. By completing this course, you will gain a deeper understanding of how to use data lakes and data warehouses to support data analysis initiatives.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists leverage data to develop predictive models and statistical algorithms. This course provides a comprehensive introduction to data lakes and data warehouses, which are critical for storing and managing the vast amounts of data used in data science projects. The course also covers cloud-based data engineering, which is becoming increasingly important in the field.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
Machine Learning Engineers build and implement machine learning models. This course provides a solid foundation in data lakes and data warehouses, which are essential for managing the large datasets used in machine learning. By understanding the principles and technologies covered in this course, you can enhance your skills as a Machine Learning Engineer.
See salaries and explore the career path for Machine Learning Engineer
Data Architect
Data Architects design and manage data systems. This course provides a comprehensive overview of data lakes and data warehouses, which are key components of modern data architectures. By completing this course, you will gain a deeper understanding of how to design and implement effective data architectures that meet the needs of your organization.
See salaries and explore the career path for Data Architect
Cloud Engineer
Cloud Engineers design and manage cloud-based infrastructure. This course provides a solid introduction to data lakes and data warehouses in the cloud, which are becoming increasingly important for modern cloud architectures. By understanding the concepts and technologies covered in this course, you can enhance your skills as a Cloud Engineer.
See salaries and explore the career path for Cloud Engineer
Database Administrator
Database Administrators manage and maintain databases. This course provides a comprehensive overview of data lakes and data warehouses, which are becoming increasingly popular alternatives to traditional databases. By completing this course, you will gain a deeper understanding of how to manage and maintain these modern data storage systems.
See salaries and explore the career path for Database Administrator
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses. This course provides a comprehensive overview of data lakes and data warehouses, with a focus on data warehouse architecture. By completing this course, you will gain a deeper understanding of how to design and implement effective data warehouses that meet the needs of your organization.
See salaries and explore the career path for Data Warehouse Architect
Data Lake Architect
Data Lake Architects design and implement data lakes. This course provides a comprehensive overview of data lakes and data warehouses, with a focus on data lake architecture. By completing this course, you will gain a deeper understanding of how to design and implement effective data lakes that meet the needs of your organization.
See salaries and explore the career path for Data Lake Architect
Data Integration Architect
Data Integration Architects design and implement data integration solutions. This course provides a comprehensive overview of data lakes and data warehouses, with a focus on data integration. By completing this course, you will gain a deeper understanding of how to design and implement effective data integration solutions that meet the needs of your organization.
See salaries and explore the career path for Data Integration Architect
Information Architect
Information Architects design and implement information systems. This course provides a comprehensive overview of data lakes and data warehouses, with a focus on information architecture. By completing this course, you will gain a deeper understanding of how to design and implement effective information systems that meet the needs of your organization.
See salaries and explore the career path for Information Architect
Data Governance Specialist
Data Governance Specialists ensure the quality and integrity of data. This course provides a comprehensive overview of data lakes and data warehouses, with a focus on data governance. By completing this course, you will gain a deeper understanding of how to design and implement effective data governance policies and practices.
See salaries and explore the career path for Data Governance Specialist
Business Intelligence Analyst
Business Intelligence Analysts use data to derive insights and solve business problems. This course provides a comprehensive overview of data lakes and data warehouses, with a focus on business intelligence. By completing this course, you will gain a deeper understanding of how to use data lakes and data warehouses to support business intelligence initiatives.
See salaries and explore the career path for Business Intelligence Analyst
Data Management Consultant
Data Management Consultants help organizations manage their data. This course provides a comprehensive overview of data lakes and data warehouses, with a focus on data management. By completing this course, you will gain a deeper understanding of how to help organizations manage their data effectively.
See salaries and explore the career path for Data Management Consultant
Data Privacy Specialist
Data Privacy Specialists ensure that data is used in a compliant and ethical manner. This course provides a comprehensive overview of data lakes and data warehouses, with a focus on data privacy. By completing this course, you will gain a deeper understanding of how to design and implement effective data privacy policies and practices.
See salaries and explore the career path for Data Privacy Specialist

Reading list

We've selected nine 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 Modernizing Data Lakes and Data Warehouses with GCP 日本語版.
Cover image
Data Mesh
Save
データメッシュアーキテクチャの詳細を調査し、ビジネスユーザーがデータをより効果的に活用できる方法を理解するに役立ちます。
Data Mesh
Paperback
Check
Data Mesh
Kindle Edition
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Cover image
Big Data Science & Analytics
Save
ビッグデータと機械学習の交差を調査し、大規模データセットからのインサイトの抽出に役立つ手法とテクノロジーを説明します。
Big Data Science & Analytics
Paperback
Check
Big Data Science & Analytics
Kindle Edition
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Cover image
NoSQL for Mere Mortals
Save
NoSQLデータベースの概念と種類を解説し、さまざまなユースケースやビジネス要件に基づいて適切なソリューションを選択するのに役立ちます。
NoSQL for Mere Mortals
Paperback
Check
NoSQL for Mere Mortals
Kindle Edition
Check
Cover image
Spark: The Definitive Guide
Save
Apache Sparkの包括的な概要を提供し、大規模データ処理、ストリーミング、機械学習のための技術的詳細と実践的なガイダンスを記載しています。
(English) Spark: The Definitive Guide: Big Data Processing...
Paperback
$$
(English) Spark: The Definitive Guide: Big Data Processing...
Kindle Edition
$$
Cover image
Understanding Big Data: Analytics for Enterprise...
Save
ビッグデータの概念、テクノロジー、およびアプリケーションを調査し、企業におけるビッグデータ活用に関する包括的な概要を提供します。
(English) Understanding Big Data : Analytics for Enterprise...
Paperback
$$
Cover image
Hadoop: The Definitive Guide
Save
Hadoopエコシステムの包括的な概要を提供し、大規模データ処理のための技術的詳細と実践的なガイダンスを記載しています。
(English) Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
(English) Hadoop: The Definitive Guide
Kindle Edition
$$
(English) Hadoop: The Definitive Guide
Paperback
$$
(English) Hadoop: The Definitive Guide
Paperback
$$
Cover image
The Data Warehouse ETL Toolkit
Save
データウェアハウジング用のETLプロセスの技術的詳細を調査し、さまざまなデータソースからデータを抽出し、クリーニングし、変換し、ロードするための実用的なガイダンスを提供します。
(English) The Data Warehouse ETL Toolkit: Practical...
Paperback
$$
Cover image
Building the Data Lakehouse
Save
データ統合の原理と手法を調査し、さまざまなデータソースからのデータを統合して価値あるインサイトを作成する方法を説明します。
(English) Building the Data Lakehouse
Paperback
$$
(English) A Methodology for Building the Data Lakehouse:...
Kindle Edition
$$
(English) Rise of the Data Lakehouse: Building the Data...
Paperback
$$
Cover image
The Data Warehouse Toolkit
Save
データウェアハウジングのベストプラクティスとパターンを網羅し、効果的なデータウェアハウスを設計、構築、管理するためのガイダンスを提供します。
The Data Warehouse Toolkit
Paperback
Check
The Data Warehouse Toolkit
Kindle Edition
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Course image
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
日本語
Transcript
English
This course belongs to a collection called Data Engineering, Big Data and ML on Google Cloud 日本語版. It's comprised of five courses:
  1. Building Resilient Streaming Analytics Systems on GCP 日本語版
  2. Smart Analytics, Machine Learning, and AI on GCP 日本語版
  3. Google Cloud Big Data and Machine Learning Fundamentals 日本語版
  4. Modernizing Data Lakes and Data Warehouses with GCP 日本語版 (viewing)
  5. Building Batch Data Pipelines on GCP 日本語版
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
業界でスタンダードとなったデータレイクを利用できます。
クラウド環境でデータエンジニアリングの第一歩を踏み出せます。
データレイクとデータウェアハウスの基本を学習できます。
Google Cloudのプラットフォームを活用したデータ管理を学べます。
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