- Data Processing
- SQL
- Cloud Engineering
- Scalability
- Big Data
- Data Lakes
- Data Pipelines
- Cloud Storage
- Data Warehousing
- Google Cloud Platform
- Data Infrastructure
Modernizing Data Lakes and Data Warehouses with Google Cloud
Completed by Alexandre Ferland
March 2, 2020
10 hours (approximately)
Alexandre Ferland's account is verified. Coursera certifies their successful completion of Modernizing Data Lakes and Data Warehouses with 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
