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SQL Server Training

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Modeling a Data Warehouse



Course Number



1 Day


About This Course: A successful data warehouse project involves a set of concepts and methods designed to implement a data store as a basis for the business decision-making process. In this course, you gain the skills needed to develop an effective roadmap to implementing a robust data warehouse solution. Specifically, you learn to differentiate top-down and bottom-up approaches to data warehousing, formulate and prioritize business requirements and apply dimensional modeling to improve business decisions.

You Will Learn How To

  • Apply Data Warehouse dimensional modeling techniques to support business processes
  • Review denormalization techniques to optimize database performance
  • Identify the advantages of Star Schemas over Snowflake Schemas
  • Implement basic dimension table techniques

Hands-On Experience:

  • Distinguishing normalized or denormalized schema
  • Prioritizing business requests
  • Creating a bus matrix
  • Building a Star schema
  • Querying a Star schema

Course Schedule

Attend this live, instructor-led course Online via AnyWare.

Hassle-Free Enrollment: No advance payment required.
Tuition due 30 days after your course.

Oct 31 AnyWare Enroll Now

How would you like to attend?

Live, Online via AnyWare

Guaranteed to Run

Bring this Course to Your Organization and Train Your Entire Team
For more information, call 1-888-843-8733 or click here






Course Tuition Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.



Call 1-888-843-8733 or click here »

An experienced training advisor will happily answer any questions you may have and alert you to any tuition savings to
which you or your organization may be entitled.

Training Hours

Standard Course Hours:
9:00 am – 4:30 pm

Each Course Day:
Informal discussion with instructor about your projects or areas of special interest:
4:30 pm – 5:30 pm

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