- Big Data
- Data Infrastructure
- Advanced Analytics
- Google Cloud Platform
- Data Integration
- Data Lakes
- Data Architecture
- Data Warehousing
- Data Storage Technologies
- Data Storage
- Data Management
- Metadata Management
Build Data Lakes and Data Warehouses on Google Cloud
Completed by Mikhail Trifonov
February 3, 2022
10 hours (approximately)
Mikhail Trifonov'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
