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Provided in depth answer that clearly met the details of the criteria. Determination of main entities that might include in the scenario. The entities should cover these details: At least FOUR entities are determined with clear description. ALL identified entities are relevant with scenario given. Determination of attributes and primary key for each entity. The attributes should cover these details: ALL identified entities have at least TWO attributes and ONE attribute key (primary key). ALL identified attributes and key are relevant with scenario given.
Produce Relational Schema. The relations should cover these details: ALL identified entities and attributes are presented on the relations. ALL relationships have accurate primary and foreign key. Using appropriate labelling and symbol. Produce SQL queries to manipulate the data from each relations: At least FIVE SQL queries. The queries should include a simple queries, query for sorting results, aggregate function, subqueries and query to alter the existing tables.
Drawing of Entity-Relationship Diagram (ERD) for the database proposed. The diagram should cover these details: ALL identified entities and attributes are presented on the diagram. ALL entities are connected by relevant relationship. ALL relationships have accurate cardinality. Using appropriate labelling and symbol. Using correct arrangement of diagram. Result of the SQL queries generated: Show all the results from each of the queries generated.
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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