What is Dimensional Modeling
Dimensional Modeling focuses on the principles and techniques essential for effective data design and analysis. Learn to create robust data models that facilitate business intelligence and decision-making processes, in particular through reporting and dashboarding. Covering key concepts like
- Facts
- Dimensions
- OLAP techniques
- Kimball approach
- Slowly Changing Dimensions
This course learns you to translate user requirements into actionable dimensional models, delve into technical implementation aspects, and master effective communication with business users.
Learn how to master Dimensional Modeling with our seasoned trainers. The expertise of our trainers adds a practical dimension to the theoretical concepts, providing real-world insights and best practices. Through hands-on exercises and case studies, participants acquire a deep understanding of the Kimball approach and enhance the ability to create data models tailored for Business Intelligence environments. This training is designed to bridge the gap between theoretical knowledge and practical implementation, ensuring participants are well-equipped to drive meaningful outcomes in their professional roles.
Who should attend Dimensional Modeling
The training Dimensional Modeling is suitable for:
- Data Analysts: Enhance data modeling skills for BI reporting.
- Report Developers: Provide the right data structure for creating efficient reporting.
- Business Intelligence Developers: Master the Kimball approach for effective reporting.
- Data Engineers: Develop expertise in designing scalable and optimized data models.
- Database Administrators: Implement Dimensional Models in databases.
- Business Analysts: Understand how data modeling supports strategic decision-making.
- IT Managers: Acquire knowledge to guide data-related projects effectively.
- Software Architects: Incorporate Dimensional Modeling into system design.
- Project Managers: Understand how to translate user requirements into dimensional models.
- Anyone involved in data-driven decision-making processes.
Prerequisites
Participants should have a foundational understanding of data modeling principles.
Objectives
After this training, the participant has knowledge of the following topics:
- Master the fundamentals of Dimensional Modeling.
- Understand the importance of facts, dimensions, and hierarchies.
- Learn best practices for schema design in data platforms, e.g. a data warehouse.
- Gain hands-on experience through practical exercises.
- Apply Dimensional Modeling concepts to real-world scenarios.
- Enhance collaboration between business and IT stakeholders.
- Create scalable and adaptable data models.
- Improve decision-making through insightful data analysis.
- Implement best practices for data integrity and consistency.
Classroom, online, blended and in-company
At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.
In-company training courses
With an in-company training you have several advantages:
- You choose the location.
- You train with your colleagues, ensuring it aligns with your practice.
- The trainer tailors explanations, examples and assignments to your organization.
- In consultation, exercises can be adapted to organization-specific questions.
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