Relational Database Support for Data Warehouses
This course is part of Data Warehousing for Business Intelligence.
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 Data Warehousing for Business Intelligence Specialization 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.
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What you'll learn
Write complex SQL queries using subtotal operators
Implement and manage materialized views
Optimize query performance in data warehouses
Apply data governance practices
Develop advanced data mining input queries
Skills you'll gain
This course includes:
3.8 Hours PreRecorded video
13 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course focuses on relational database support for data warehouses, covering advanced SQL features and database management techniques. Students learn to use analytical elements of SQL for business intelligence, manage summary data, and work with materialized views. The course delves into storage architectures, scalable parallel processing, data governance, and big data impacts. Practical assignments provide hands-on experience with either Oracle or PostgreSQL, preparing students for real-world data warehouse management.
DBMS Extensions and Example Data Warehouses
Module 1 · 5 Hours to complete
SQL Subtotal Operators
Module 2 · 12 Hours to complete
SQL Analytic Functions
Module 3 · 13 Hours to complete
Materialized View Processing and Design
Module 4 · 11 Hours to complete
Physical Design and Governance
Module 5 · 7 Hours to complete
SQL for Data Mining Input
Module 6 · 20 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Warehousing for Business Intelligence
Instructor
Expert in Database Technology and Education
Michael Mannino is an Associate Professor at the University of Colorado Denver, specializing in database technology and education with over 35 years of experience in academia, research, and consulting. His extensive teaching career includes positions at notable institutions such as the University of Florida, the University of Texas at Austin, and the University of Washington. At CU Denver's Business School, he focuses on data warehouse development, sharing his passion and expertise with students to prepare them for rewarding careers in data management and business intelligence. Michael is also the author of a widely used textbook on database design, which serves as a foundational resource for students learning about database management systems. His commitment to education is reflected in his engaging teaching style, where he aims to demystify complex concepts and guide students through their learning journey. Through his research and practical applications, Michael continues to contribute significantly to the field of information systems, helping shape the next generation of data professionals.
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