Reference no: EM132330027
Assignment: 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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