- Data Warehousing
- SQL
- Data Lakes
- Cloud Storage
- Big Data
- Data Infrastructure
- Google Cloud Platform
- Data Transformation
- Data Architecture
- Cloud Engineering
- Data Pipelines
- Data Processing
Build Data Lakes and Data Warehouses on Google Cloud
Completed by KEMAL DIRI
April 4, 2022
10 hours (approximately)
KEMAL DIRI'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

