Build Data Lakes and Data Warehouses on Google Cloud

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud seri

• Differentiate between data lakes and data warehouses.
• Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.
• Discuss the role of a data engineer and the benefits of a successful data pipeline to business operations.
• Examine why data engineering should be done in a cloud environment.