- Big Data
- Data Architecture
- Google Cloud Platform
- Data Integration
- Data Security
- Operational Databases
- Data Infrastructure
- Metadata Management
- Data Storage Technologies
- Cloud Storage
- Data Lakes
- Advanced Analytics
Build Data Lakes and Data Warehouses on Google Cloud
Completed by Itay Shenberger
July 3, 2020
10 hours (approximately)
Itay Shenberger'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
