Build Data Lakes and Data Warehouses on Google Cloud
Completed by Grant Tran
August 8, 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
- Category: Analytics
- Category: Applied Machine Learning
- Category: Data Integration
- Category: Data Architecture
- Category: Cloud Computing Architecture
- Category: Data Infrastructure
- Category: Cloud Storage
- Category: Data Store
- Category: Cloud Engineering
- Category: Data Warehousing
- Category: Machine Learning Methods
- Category: Data Transformation
