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1. Construct an entity-relationship (ER) model for the database. Make sure you include in your model details of entities, relationships, attributes, keys and limits in participation. Ensure that you give adequate justification for the assumptions that you make in designing your entity-relationship model and include any important integrity constraints (business rules).
2. Show by providing SQL statements, that all of the ‘dot points' in the Operations section can be produced from an implementation of your ER diagrams. Sometimes you may need to use more than one SQL statement, and you should explain how one SQL statement provides information needed by the subsequent SQL statement. NOTE: You don't have to actually create the database and run the queries, this is a thought exercise to show that the queries are possible.
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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