
Overview
In this Data Warehouse Concepts, Design, and Data Integration course offered by Coursera in partnership with University of Colorado System, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows.
These are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.
In the data integration assignment, you can use either Oracle, MySQL, or PostgreSQL databases.
You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that.
By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects.
In this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations.
When you’re done with this course, you’ll be able to:
- Evaluate an organization for data warehouse maturity and business architecture alignment;
- Create a data warehouse design and reflect on alternative design methodologies and design goals;
- Create data integration workflows using prominent open source software;
- Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and
- Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software
Get more details
Visit university websiteProgramme Structure
Courses included:
- Data Warehouse Concepts and Architectures
- Multidimensional Data Representation and Manipulation
- Multidimensional Data Representation and Manipulation: Lesson Choices
- Data Warehouse Design Practices and Methodologies
- Data Integration Concepts, Processes, and Techniques
- Architectures, Features, and Details of Data Integration Tools
Check out the full curriculum
Visit university websiteKey information
Duration
- Part-time
- 1 months
Start dates & application deadlines
Language
Delivered
Disciplines
Design Data Science & Big Data View 109 other Short Courses in Design in United StatesExplore more key information
Visit university websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Make sure you meet all requirements
Visit university websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.