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WasteNot Recycling WasteNot Recycling picks up recyclables from homeowners in Boulder, Colorado. Neighborhoods subscribe to the service so that pickup is cost-effective. WasteNot provides special containers to subscribers for sorting recyclables: a blue container for paper products and a purple container for aluminum, plastic, and glass products. Subscribers place their recycling containers on the curb for biweekly pickup. Each recycling container is weighed before being emptied. WasteNot drivers carry handheld recording devices used to track each pickup. Subscribers receive quarterly profit-sharing checks based on their contributions. If WasteNot does not make a profit, subscribers are not paid for their recyclables. If WasteNot makes a profit, subscribers share in that profit. WasteNot has asked you to help develop a relational database that will effectively track subscribers, using the data downloaded from the drivers' devices. WasteNot has provided you with a snapshot of two tables you need to create. The Customer table shown here holds static customer information such as name, address, and phone. The Customer Record table holds data about each recyclable pickup. Specifically, WasteNot needs you to:
1.Create a Microsoft Access database. 2. Create the tables, fi elds, data types, and primary key(s) for the database. 3. Create the relationship(s) needed between the tables. 4. Add two additional customer records, one with your name (MICHELLE FITZHENRY & SARAH PHIPPS) and one with a friend's name. (MICHELLE FITZHENRY & SARAH PHIPPS)
Add an additional 14 records to the Customer Service record table. These records should indicate service dates in January and February of 2007. They should also be related to existing customers in the Customer table (including the customer record for you and your friend). 5. Populate the database with the data provided above
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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