Assignment 3: Business Intelligence and Data Warehouses

Assignment 3: Business Intelligence and Data Warehouses

Due Week 9 and worth 100 points

Businesses today are extremely reliant on large amounts of data for making intelligent business decisions. Likewise, the data warehouses are often structured in a manner that optimizes processing large amounts of data.

Write a two to three (2-3) page paper in which you:

1. Outline the main differences between the structure of a relational database optimized for online transactions versus a data warehouse optimized for processing and summarizing large amounts of data.
2. Outline the main differences between database requirements for operational data and for decision support data.
3. Describe three (3) examples in which databases could be used to support decision making in a large organizational environment.
4. Describe three (3) examples in which data warehouses and data mining could be used to support data processing and trend analysis in large organizational environment.
5. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.

Your assignment must follow these formatting requirements:

• Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
• Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. 

The specific course learning outcomes associated with this assignment are:

• Describe the role of databases and database management systems in managing organizational data and information.
• Distinguish the role of databases and database management systems in the context of enterprise systems.
• Use technology and information resources to research issues in database systems.
• Write clearly and concisely about relational database management systems using proper writing mechanics and technical style conventions.

Click here to view the grading rubric for this assignment.

Assignment 3: Business Intelligence and Data Warehouses

1. Outline the main differences between the structure of a relational database optimized for online transactions versus a data warehouse optimized for processing and summarizing large amounts of data. Optimization Optimized for performing read-write operations of single point transactions. An OLTP database should deliver sub-second response times. Performing large analytical queries on such a database...

• Assignment 3 Business Intelligence and Data Warehouses.docx 21 KB

Assignment 3: Business Intelligence and Data Warehouses

  1. Differences between the structures of a relational database optimized for online transactions versus a data warehouse optimized for processing and summarizing large amounts of data Data Warehouse is a database which is designed to process for query and analysis rather than for transaction processing, and it is usually contains historical data derived from transaction data, but can include data from other sources while relational database optimized for online transaction which includes insertions, updates and deletion. Basically Data Warehouse is defined as a subject-oriented, non-volatile and time –variant collection of database which support management’s decisions. Data Warehouse is very distinct from online transaction systems. Some of distinctions are given below:  One of main difference, a data warehouse you can do separate analysis workload form transaction workload which makes it very much read-oriented systems.  They deal higher amount of volume in comparisons to online transaction database.  They have a far higher amount of data reading versus writing and updating. This enables far better analytical performance and avoids impacting your transaction systems.  A data warehouse system can ...

• Business Intelligence and Data Warehouses.docx 28 KB