PDF-Entity-Relationship (ER) Dijagram

1. Joe Meehean. 1. Entity Relationship Model. Entity type. an object (noun). e.g., student. attributes (e.g., last name). Relationship. association between entity types. bidirectional relationship between entities. Eric Nelson . eric.nelson@microsoft.com. http://geekswithblogs.net/iupdateable. . . http://twitter.com/ericnel. . Developer Evangelist. Microsoft UK. Session Code: DEV305. Agenda. Quick recap of the journey so far. Shyam Pather (spather@microsoft.com). Development Manager. Microsoft. Session Code: DTL402. Session Objectives And Takeaways. Discuss the Entity Framework. Historic Perspective. Improvements. in Visual Studio 2010. Sujan. Perera. 1. , Pablo Mendes. 2. , Amit Sheth. 1. , . Krishnaprasad. Thirunarayan. 1. , . Adarsh. Alex. 1. , Christopher Heid. 3. , Greg Mott. 3. 1. Kno.e.sis Center, Wright State University, . 1. Enhanced-ER (EER) Model Concepts. Includes all modeling concepts of basic ER . Additional concepts: subclasses/. superclasses. , specialization/generalization, categories, attribute inheritance. 2. Outline. Data Modeling: Big picture. E-R Model. Attributes. types. Relationships. connectivity, cardinality. strength, participation, degree. Entities. composite entity. supertype/subtype. Table Normalization. Pearson Education © 2009. 2. Chapter 17 - Objectives. How to derive . a set of . relations from a conceptual data model.. To create relations for the logical data model to represent the entities, relationships, and attributes that have been identified. . Chapter 2. Overview of Database Design. Conceptual design. : . (. ER Model . is used at this stage.) . What are the . entities. and . relationships. in the enterprise. ?. Students . sign up. . for . Requirements & collection analysis. Conceptual Design. Data Model Mapping. Physical Design. Database Requirements. Conceptual Schema (in a high-level data model). DBMS independent. DBMS specific. Data Modeling What are you keeping track of? You begin to develop a database by deciding what you are going to keep track of. Each “thing” that you are want to keep track becomes an entity in your database. MIS2502: Data Analytics Relational Data Modeling Acknowledgement: David Schuff Aaron Zhi Cheng http://community.mis.temple.edu/zcheng/ acheng@temple.edu Where we are… Transactional Database Analytical Data Store Data Management 02 Conceptual Design Matthias Boehm Graz University of Technology, Austria Computer Science and Biomedical Engineering Institute of Interactive Systems and Data Science BMVIT endowed chair for Data Management Chapter Five: Data Modeling with the Entity-Relationship Model Chapter Objectives To understand the two-phase data modeling/database design process To understand the purpose of the data modeling process Done By. Bidhov. . Bizar,Anik. . Saha,Sarat. . Chandra,Uday. . Gulghane. E0 270 : Machine Learning. Instructor : . Ambedkar. . Dukkipati. TA : Tony. An ‘intelligent’ way of doing data . cleaning.