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Research the various database management system (DBMS) products available for your scenario and compare the top contenders to highlight similarities and differences. Analyze these database products for their appropriate uses, strengths, and weaknesses in comparison with the needs of your organization. Recommend and defend the best DBMS product(s) for fully addressing the broad, high-level technological and operational needs of the organization. Recommend and justify needed software and hardware to fully meet operational applications in various departments. These will supplement the DBMS product you recommend to fully meet specific needs or requirements left open by the DBMS product. Specifically, the following critical elements must be addressed: A. Research: Research the various DBMS products available for your scenario and compare the top contenders to highlight similarities and differences. Analysis: Analyze these database products for their appropriate uses, strengths, and weaknesses in comparison with the needs of your organization. B. Recommendation: Recommend and defend the best DBMS product(s) for fully addressing the broad, high-level technological and operational needs of the organizatio C. Hardware, Software: Recommend and justify needed software and hardware to fully meet operational applications in various departments. These will supplement the DBMS product you recommend to fully meet specific needs or requirements left open by the DBMS product.
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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