Data warehousing is a critical component of modern business intelligence, providing a centralized repository for structured and organized data. This course focuses on the fundamental aspects of data warehousing, including schema design, extract, transform, load (ETL) processes, and techniques for optimizing performance. By comprehending these core concepts, participants will be equipped to design and implement efficient data warehouses that support informed decision-making and business intelligence initiatives.
Data Warehousing: Schema, ETL, Optimal Performance
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain the importance of data warehousing in business intelligence.
Design and implement effective schema designs for data warehouses.
Implement ETL processes to load and transform data into a data warehouse.
Apply performance optimization techniques to enhance data warehouse efficiency.
Skills you'll gain
Details to know
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Recently updated!
September 2024
Assessments
1 assignment
Taught in English
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There is 1 module in this course
This course focuses on the fundamental aspects of data warehousing, including schema design, extract, transform, load (ETL) processes, and techniques for optimizing performance.
What's included
11 videos4 readings1 assignment2 discussion prompts
Instructor
6 Courses2,027 learners
Offered by
Recommended if you're interested in Business Strategy
University of Illinois Urbana-Champaign
Corporate Finance Institute
Microsoft
Coursera Instructor Network
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