Modernizing Data Lakes and Data Warehouses with Google Cloud
Offered By: Pluralsight
Course Description
Overview
The two key components of any data pipeline are data lakes and warehouses.
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
Taught by
Google Cloud
Related Courses
SAP Business Warehouse powered by SAP HANASAP Learning Relational Database Support for Data Warehouses
University of Colorado System via Coursera Data Warehouse Concepts, Design, and Data Integration
University of Colorado System via Coursera Business Intelligence Concepts, Tools, and Applications
University of Colorado System via Coursera Design and Build a Data Warehouse for Business Intelligence Implementation
University of Colorado System via Coursera