Data Warehousing Capstone Project
Apply data warehouse engineering skills in a real-world project using MySQL, PostgreSQL, and business intelligence tools.
Apply data warehouse engineering skills in a real-world project using MySQL, PostgreSQL, and business intelligence 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 IBM Data Warehouse Engineer 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.
4.9
(11 ratings)
2,079 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
Powered by
What you'll learn
Design and implement a complete data warehouse solution
Create OLTP databases and data platform architecture
Develop ETL processes and data pipelines
Generate business intelligence reports and dashboards
Implement automated data processing workflows
Skills you'll gain
This course includes:
0.2 Hours PreRecorded video
9 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive capstone project provides hands-on experience in implementing a complete data warehouse solution. Students work through the entire data warehouse engineering lifecycle, from designing data platform architecture to implementing ETL processes. The course covers practical implementation of OLTP databases, data warehouse design, reporting dashboards, and automated data pipelines. Using tools like MySQL, PostgreSQL, Shell scripting, and IBM Cognos Analytics, students tackle real-world data warehousing challenges.
Data Platform Architecture and OLTP Database
Module 1 · 1 Hours to complete
Build a Data Warehouse
Module 2 · 4 Hours to complete
Data Analytics
Module 3 · 4 Hours to complete
ETL & Data Pipelines
Module 4 · 1 Hours to complete
Final Submission and Peer Review
Module 5 · 2 Hours to complete
Fee Structure
Instructors
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Data Engineering and Technology Education Expert
Ramesh Sannareddy serves as a freelance technology educator and content developer, bringing over two and a half decades of experience in Information Technology Infrastructure Management, Database Administration, and Information Integration. After earning his Bachelor's Degree in Information Systems from Birla Institute of Technology, Pilani, he built an impressive career working with leading technology companies including Intergraph, Genpact, HCL, and Microsoft. Currently focused on his passion for teaching, he specializes in developing and delivering courses in Data Science, Machine Learning, Programming, and Databases. His educational impact is evidenced through his extensive course portfolio, which includes specialized programs in Data Engineering, Data Warehousing, Linux Commands, Machine Learning with Apache Spark, and Python Programming. His teaching reaches over 11,800 learners globally, maintaining a strong 4.5 rating for his educational content
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.9 course rating
11 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.