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HOW UP-TO-DATE SHOULD DATA WAREHOUSE INFORMATION BE?
Information timeliness is a must in a data warehouse-old and obsolete information leads to poor decision making. Below is a list of decision-making processes that people go through for different business environments.
For each, specify whether the information in the data warehouse should be updated monthly, weekly, daily, or by the minute.
Be prepared to justify your decision. To adjust classes sizes in a university registration environment. To alert people to changes in weather conditions.
To predict scores of professional football games. To adjust radio advertisements in light of demographic changes. To monitor the success of a new product line in the clothing retail industry. To adjust production levels of food in a cafeteria. To switch jobs to various printers in a network. To adjust CD rates in a bank. To adjust forecasted demands of tires in an auto parts store.
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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