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Course Description:
In this course, students will explore big data and its implications in solving business problems. Students will be exposed to IBM ana- lytic tools used for unblocking big data and examining it at rest and in motion. Lastly, students will evaluate requirements for govern- ance and integration of big data in the enterprise.
Course Objectives:
• To establish project goals and implement an effective deployment plan
• To build accurate logical and physical enterprise data models
• To gain insight into your company's transactions with data mining
• To input, cleanse, and normalize data using ETL (Extract, Transform, and Load) technique.
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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