Course

Getting Started with Data Warehousing and BI Analytics

IBM

Kickstart your Data Warehousing and Business Intelligence (BI) Analytics journey with this comprehensive self-paced course. Designed by IBM, this course equips you with the essential skills to design, deploy, load, manage, and query data warehouses and data marts. You'll delve into the intricacies of data warehousing architectures, including Star and Snowflake schemas, and explore the processes of populating data warehouses using ETL and ELT methods.

Throughout the course, you'll gain hands-on experience with popular BI tools such as IBM Cognos Analytics, Tableau, and Microsoft PowerBI, enabling you to create data visualizations and interactive dashboards to extract valuable insights from data. With a focus on practical application, you'll work with repositories like MySQL, PostgreSQL, and IBM Db2, allowing you to apply your learning in real-world scenarios.

  • Understand the architecture, features, and benefits of data warehouses, data marts, and data lakes
  • Design and populate a data warehouse, and model and query data using CUBE, ROLLUP, and materialized views
  • Gain hands-on experience with popular data analytics and business intelligence tools and vendors, including IBM Cognos Analytics
  • Complete a project to demonstrate the skills acquired throughout the course

Embark on this enriching learning journey and emerge with the expertise to drive informed decision-making and gain valuable insights from data through Data Warehousing and BI Analytics.

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Getting Started with Data Warehousing and BI Analytics
Course Modules

This course is divided into four modules, each focusing on key aspects of Data Warehousing and BI Analytics. From understanding different analytics repositories to hands-on labs with popular BI tools and repositories, this course provides a comprehensive learning experience.

Data Warehouses, Data Marts, and Data Lakes

This module provides a comprehensive overview of data warehouses, data marts, and data lakes, setting the foundation for your journey into Data Warehousing and BI Analytics. You'll explore popular data warehouse systems, learn about selecting a data warehouse system, and gain insights into data marts and data lakes. The hands-on labs in this module will enable you to apply your learning to real-world scenarios, making your understanding practical and comprehensive.

Designing, Modeling and Implementing Data Warehouses

In this module, you'll delve into the intricacies of designing, modeling, and implementing data warehouses. From understanding different data warehouse architectures to working with facts and dimensional modeling, you'll gain in-depth knowledge of populating data warehouses using various processes. With hands-on labs focused on PostgreSQL and IBM Db2, you'll apply your learning to populate and query the data warehouse, ensuring a practical understanding of the concepts covered.

Data Warehouse Analytics

Explore the world of data warehouse analytics and business intelligence tools in this module. You'll gain insights into popular BI tools such as IBM Cognos Analytics and learn to create data visualizations and interactive dashboards. The hands-on labs will provide you with practical experience in navigating and using Cognos Analytics, enabling you to analyze data and create compelling visualizations.

Final Assignment and Final Quiz

The final module of this course allows you to showcase the skills and knowledge acquired throughout the journey. You'll complete a project that demonstrates your proficiency in designing, populating, and querying data warehouses, solidifying your understanding of Data Warehousing and BI Analytics.

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