Enroll Course: https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-jp
The ‘Modernizing Data Lakes and Data Warehouses with GCP 日本語版’ course on Coursera offers an in-depth exploration of how modern data storage solutions can be implemented using Google Cloud Platform. Designed for data engineers and professionals involved in data architecture, this course provides a comprehensive overview of the key components of data pipelines, specifically focusing on data lakes and data warehouses.
The course effectively introduces the use cases for each storage type and delves into the technical details of solutions available on Google Cloud, such as Cloud Storage for data lakes and BigQuery for data warehouses. One of the highlights is understanding the role of a data engineer and how efficient data pipelines can significantly benefit business operations.
Structured into clear modules, it covers the essentials of building scalable and effective data solutions. The course also emphasizes the importance of cloud-based data engineering, making it highly relevant for organizations transitioning to or optimizing their cloud infrastructure.
As a part of the ‘Data Engineering on Google Cloud’ series, it serves as a solid foundation before progressing to more advanced topics like batch data pipelines. I highly recommend this course for anyone looking to modernize their data infrastructure with Google Cloud, gain practical knowledge, and improve data-driven decision-making in their organization.
Enroll Course: https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-jp