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Dreamhome case study sql

03/04/2021 Client: muhammad11 Deadline: 2 Day

I need support with this Computer Science question so I can learn better.

Resources:

Completed Week One Individual Assignment "DreamHome Case Study"
Completed Week Two Individual Assignment "Object Oriented Data Model and SQL Query Definition"
Completed Week Three Individual Assignment, "Database Operations and Data Recovery"
Appendix A, "User Requirements Specification for DreamHome Case Study" of Database Systems: A Practical Approach to Design, Implementation and Management(6th edition).
Update the following DreamHome assignments:

Diagrams from the completed Week One Individual Assignment "DreamHome Case Study"
Diagrams from the completed Week Two Individual Assignment "Object Oriented Data Model and SQL Query Definition"
Completed Week Three Individual Assignment, "Database Operations and Data Recovery"
Diagram a distributed database environment in Microsoft® Visio® using the "DreamHome Case Study" in Appendix A of Database Systems: A Practical Approach to Design, Implementation and Management (6th edition) and your completed DreamHome-related assignments from Weeks One, Two, and Three.

Include the following in your diagram:

A production database
A data warehouse
Two data marts
Security and maintenance elements annotated in your first diagram
Create a 3-page summary in Microsoft® Word that:

Identifies and discusses the database tables used to create your distributed database environment
Identifies and discusses three SQL queries to develop reports from the data query list in the case study
Explains the typical operation of a data warehouse and data marts, along with operational considerations and constraints
Discusses how DreamHome could benefit from data mining and how OLAP and data mining applications could be applied to the DreamHome data model.
Includes the SQL statements for each of the required queries and screenshots showing the query results
A thorough explanation of the process you used to determine the data types used in each table
An explanation of the most difficult process in designing and building the data and how organizations can overcome these difficulties

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