Master data modeling and ETL processes to build efficient data pipelines for business intelligence applications using Google Cloud tools.
Master data modeling and ETL processes to build efficient data pipelines for business intelligence applications using Google Cloud tools.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Google Business Intelligence Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(493 ratings)
41,763 already enrolled
Instructors:
English
What you'll learn
Design efficient data models and database schemas
Implement ETL processes using Google Cloud tools
Optimize database performance and query efficiency
Ensure data quality through testing and validation
Create automated data pipelines for BI solutions
Skills you'll gain
This course includes:
2.2 Hours PreRecorded video
19 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This course focuses on building effective data models and ETL pipelines for business intelligence applications. Students learn database design patterns, ETL processes, and optimization techniques using Google Cloud tools like BigQuery and Dataflow. The curriculum covers data quality testing, schema validation, and performance optimization, with real-world projects from companies like Google Fiber and Cyclistic.
Data models and pipelines
Module 1 · 7 Hours to complete
Dynamic database design
Module 2 · 3 Hours to complete
Optimize ETL processes
Module 3 · 4 Hours to complete
Course 2 end-of-course project
Module 4 · 2 Hours to complete
Fee Structure
Instructor
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Testimonials
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4.7 course rating
493 ratings
Frequently asked questions
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