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Data-flow diagrams can be used to model both the physical and logical systems. Data models can be analyzed to identify possible inconsistencies that exist between two sets of diagrams or within a single DFD. Redundant data flows, procedural redundancies, and inefficiencies can be identified by studying data-flow diagrams. We will be discussing this week under this topic the process modeling and logic modeling part of design. Although there are several methods and techniques available for process modeling, this week focuses on data-flow diagrams (DFDs). Data flow diagrams can be hard to develop and understand. In simple system design, data flow diagrams and process models may not be necessary. What do you think about not using data flow diagrams in some cases?
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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