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An effective information technology manger must be as adept at the application of data storage techniques relative to business continuity. The organization is counting on IT to have a plan in place that ensures that business operations will continue in the event of a disaster. Most organizations today have a 99% uptime requirement. This means that data services are available 24 hours a day, 7 days a week, for 99% of the year. Data archiving supports a well-designed disaster recovery plan by moving a copy of the data used in the production environment physically away from the organization's data operations center to a remote location.
Imagine that your company has two locations-one in hurricane-prone Miami, Florida, and the other in earthquake-prone Los Angeles, California. The company policy is to handle data network storage in-house. The company processes high-volume transactions daily, and the data is considered mission critical.
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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