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The purpose of this 3 page paper is to discuss , views regarding data warehousing and data mining or knowledge discovery in databases.
Discuss the role of the database administration and the issues of cost/benefit for these types of endeavors in organizations.
A data warehouse is a repository storing integrated information for efficient querying and analysis. Information is extracted from heterogeneous sources as it is generated or updated
A Data Warehouse on the other end, is a database that is designed for facilitating querying and analysis. Often designed as OLAP (On-Line Analytical Processing) systems, these databases contain read-only data that can be queried and analysed far more efficiently as compared to your regular OLTP application databases. In this sense an OLAP system is designed to be read-optimized.
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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