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Discussion Questions
Q1 - Fact Table Grain
Define and provide examples of the three fact table grains. What are differences between fact and dimension records? What is the importance of designing robust dimension attributes?
Q2 - Fact Table Deliverables
Discuss the deliverables of the data warehouse design phase. What is the importance of the data mapping document? What information should be included in this document?
Q3 - Technical Architecture
Why is the technical architecture important to a data warehouse? Discuss the back room and front room components in relation to the technical architecture.
Design a dimensional model for analysing Purchases for Adventure Works Cycles and implement it as cubes using SQL Server Analysis Services. The AdventureWorks OLTP sample database is the data source for you BI analysis.
Design a Database schema
Create an entity-relationship diagram and design accompanying table layout using sound relational modeling practices and concepts.
Implement a database of courses and students for a school.
Energy in the home, personal energy use and home energy efficiency and Efficient use of ‘waste' heat and renewable heat sources
Design relation schemas for the entire database.
Prepare the relational schema for database
Data Modeling and Normalization
Use Cases Perform a requirements analysis for the Case Study
Knowledge and Data Warehousing
Identify and explain the differences between a stack and a queue data structure
Practice on topic of Normalization
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