Data Engineering, Big Data and ML on Google Cloud 日本語版

Google Cloud via CourseraSpecs

Go to Course: https://www.coursera.org/specializations/gcp-data-machine-learning-jp

Introduction

### Course Review and Recommendation: Data Engineering, Big Data and ML on Google Cloud 日本語版 #### Overview The "Data Engineering, Big Data and ML on Google Cloud 日本語版" course, offered by Google Cloud, is an incredible opportunity for individuals interested in entering the field of data engineering. This comprehensive program helps participants develop the skills necessary to generate business value from big data and machine learning (ML). Tailored for Japanese speakers, this course guides students through the vast landscape of Google Cloud products and services suitable for big data and machine learning applications. #### Course Details The curriculum is divided into several modules, each focusing on key aspects of data engineering and machine learning within the Google Cloud environment. Below are the main components of the syllabus: 1. **[Google Cloud Big Data and Machine Learning Fundamentals 日本語版](https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-jp)**: - This fundamental course covers the lifecycle of AI supported by Google Cloud’s big data and ML products. Students learn to navigate the tools available for data transformation and application. 2. **[Modernizing Data Lakes and Data Warehouses with GCP 日本語版](https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-jp)**: - Here, learners explore the two essential components of any data pipeline: data lakes and data warehouses. The course defines the use cases for each storage type while providing practical insights on how to modernize data management using Google Cloud. 3. **[Building Batch Data Pipelines on GCP 日本語版](https://www.coursera.org/learn/batch-data-pipelines-gcp-jp)**: - This segment focuses on creating batch data pipelines that efficiently handle large datasets. Students will understand best practices and gain hands-on experience in developing robust data processing applications. 4. **[Building Resilient Streaming Analytics Systems on GCP 日本語版](https://www.coursera.org/learn/streaming-analytics-systems-gcp-jp)**: - In this course, participants learn the importance of real-time data processing. It emphasizes building systems that can analyze streaming data to provide immediate business insights. 5. **[Smart Analytics, Machine Learning, and AI on GCP 日本語版](https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp-jp)**: - This final module dives into integrating machine learning with data pipelines, enabling businesses to derive actionable insights efficiently. The course covers the various levels of customization available in Google Cloud Platform for ML applications. #### Learning Experience Participants can expect a mixture of video lectures, reading materials, hands-on labs, and assessments designed to reinforce their understanding. Each module builds upon the last, ensuring a comprehensive and cohesive learning experience. The courses rely heavily on real-world applications, making it easier for students to relate their learning to practical scenarios in the business landscape. #### Recommendations I highly recommend the "Data Engineering, Big Data and ML on Google Cloud 日本語版" course for anyone looking to establish a career in data engineering or expand their current skill set. Here are a few reasons why: - **Expertise from Google Cloud**: Learning from the source ensures that you receive industry-standard knowledge and practices. - **Flexibility**: With self-paced learning, you can balance your studies with personal or professional commitments. - **Practical Skills**: The hands-on labs help solidify concepts and prepare students for real-world challenges. - **Career Advancement**: The knowledge gained can open doors for roles in data engineering, data analysis, and machine learning. Whether you are a beginner looking to break into the data engineering field or a professional wanting to upskill, this course is an excellent choice on your learning journey. Dive into the vast capabilities of Google Cloud and empower yourself to unlock the true potential of data!

Syllabus

https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-jp

Google Cloud Big Data and Machine Learning Fundamentals 日本語版

Offered by Google Cloud. このコースでは、データから AI へのライフサイクルをサポートする Google Cloud のビッグデータと機械学習のプロダクトおよびサービスを紹介します。Google Cloud で Vertex AI ...

https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-jp

Modernizing Data Lakes and Data Warehouses with GCP 日本語版

Offered by Google Cloud. "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 ...

https://www.coursera.org/learn/batch-data-pipelines-gcp-jp

Building Batch Data Pipelines on GCP 日本語版

Offered by Google Cloud. 通常、データ ...

https://www.coursera.org/learn/streaming-analytics-systems-gcp-jp

Building Resilient Streaming Analytics Systems on GCP 日本語版

Offered by Google Cloud. ストリーミングによって企業が事業運営に関するリアルタイムの指標を取得できるようになり、ストリーミング データの処理を行う機会が増えてきました。このコースでは、Google Cloud でストリーミング データ ...

https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp-jp

Smart Analytics, Machine Learning, and AI on GCP 日本語版

Offered by Google Cloud. 機械学習をデータ パイプラインに組み込むことで、企業はデータから効率的に分析情報を抽出できるようになります。このコースでは、必要なカスタマイズの程度に応じて、Google Cloud Platform で機械学習をデータ ...