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Describe a business problem that can be solved with Big Data solutions (structured and unstructured textual data, streaming or batch data, real-time or near real-time).
· List the analyses that are needed to solve the business problem.· Identify what data is required to solve the problem, the volume of the data, the velocity of the data, the variety of data.· Identify the legacy source systems to retrieve the required data. including the formats of the sources.· Describe the data warehouse infrastructure to solve your business problem.· Describe the ETL process to retrieve the data and load it· Describe how the data would be integrated.· Identify the metadata that would be useful to solve the problem.· Describe the techniques to perform the analyses.
You should not implement the DW or include SQL.
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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