- Big Data
- SQL
- Cloud Engineering
- Data Pipelines
- Google Cloud Platform
- Cloud Storage
- Data Infrastructure
- Data Warehousing
- Scalability
- Data Lakes
- Data Processing
Build Data Lakes and Data Warehouses on Google Cloud
Completed by Ratna Arun Pillai
May 13, 2020
10 hours (approximately)
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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
