- Data Lakes
- Data Pipelines
- Google Cloud Platform
- Data Processing
- Cloud Storage
- Data Warehousing
- Big Data
- Data Infrastructure
- Cloud Engineering
- Scalability
- SQL
Build Data Lakes and Data Warehouses on Google Cloud
Completed by Adam Pond
April 11, 2020
10 hours (approximately)
Adam Pond's account is verified. Coursera certifies their successful completion of Build Data Lakes and Data Warehouses on Google Cloud
What you will learn
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.
Skills you will gain
