- Data Lakes
- Data Pipelines
- Google Cloud Platform
- Data Processing
- Cloud Storage
- Data Warehousing
- Big Data
- Data Infrastructure
- Cloud Engineering
- Scalability
- SQL
Modernizing Data Lakes and Data Warehouses with Google Cloud
Completed by Prajakta Vinayak Phadke
October 15, 2020
10 hours (approximately)
Prajakta Vinayak Phadke'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
