Seminarkatalog

The two main 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.

• 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.

Basic proficiency with a common query language such as SQL.

This course is intended for developers who are responsible for querying datasets, visualizing query results, and creating reports.

Specific job roles include:

• Data engineer
• Data analyst
• Database administrators