Course Overview
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.
Who should attend
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
- Big data architects
Prerequisites
Basic proficiency with a common query language such as SQL.
Course Objectives
- 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.
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