Data Warehouse and BI Analytics Fundamentals
Master data warehouse design and BI analytics tools. Learn to implement and analyze enterprise data systems.
Master data warehouse design and BI analytics tools. Learn to implement and analyze enterprise data systems.
This comprehensive course covers the fundamentals of data warehousing and business intelligence analytics. Students learn to design, implement, and maintain enterprise data warehouse systems while mastering BI tools. The curriculum explores various data repositories including data marts and lakes, warehouse architectures, and advanced concepts like data cubes and materialized views. Participants gain hands-on experience with Cognos Analytics for creating reports and dashboards. Through practical labs and real-world projects, students develop skills in building data warehouses, implementing different schema types, and conducting sophisticated data analysis.
4.5
(21 ratings)
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What you'll learn
Design and implement enterprise data warehouse systems
Create and manage data models using Star and Snowflake schemas
Build advanced SQL queries including CUBEs and ROLLUPs
Develop BI analytics dashboards using Cognos Analytics
Implement data quality verification and warehouse population strategies
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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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 4 modules in this course
This course provides comprehensive training in data warehouse design and business intelligence analytics. Students learn about different data storage solutions including data marts and lakes, explore warehouse architectures, and master data modeling techniques. The curriculum covers advanced concepts such as CUBEs, ROLLUPs, and materialized views, along with practical implementation using SQL. Participants gain hands-on experience with BI tools like Cognos Analytics for creating reports and dashboards. The course includes extensive lab practice and real-world projects.
Data Warehouses, Data Marts, and Data Lakes
Module 1
Designing, Modeling and Implementing Data Warehouses
Module 2
Data Warehouse Analytics
Module 3
Final Assignment
Module 4
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
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4.5 course rating
21 ratings
Frequently asked questions
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