- SQL
- Scalability
- Big Data
- Cloud Storage
- Data Processing
- Cloud Engineering
- Data Infrastructure
- Data Warehousing
- Data Lakes
- Google Cloud Platform
- Data Pipelines
Modernizing Data Lakes and Data Warehouses with Google Cloud
Completed by Daniel Ramirez Gastón Cabrera
April 24, 2020
10 hours (approximately)
Daniel Ramirez Gastón Cabrera'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
