Database 3 Conceptual Modeling And Er
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The document discusses conceptual data modeling and entity-relationship (ER) modeling. It describes the key concepts in ER modeling including entities, attributes, relationships, cardinality, participation, and relationship types. It provides examples of how to model different types of relationships, attributes, and entities. The goal of conceptual modeling is to build an abstract yet rigorous model of an organization's data to help communicate requirements and ensure quality.
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- Formatting should be clear, concise bullet points with quantifiable accomplishments. Use a chronological or skills-based format. Keep it to one or two pages.
- Highlight relevant skills, experience, education, and results. Customize the resume for each job by mentioning the specific company and role.
- Accompany your resume with a short, targeted cover letter explaining why you are interested in the role and qualified for it.
Bussiness Analyst Online Training in Hyderabad
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Business Analyst Training in Hyderabad
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ERD.ppt
This document discusses entity relationship modeling and conceptual database design. It defines conceptual database design as describing the data, relationships between data, and constraints. Entity relationship modeling is introduced as a top-down approach using entity relationship diagrams. Key components of ER diagrams are defined including entities, attributes, relationships, and cardinality. Guidelines are provided for defining these components accurately based on the problem domain. The document stresses modeling the data requirements and avoiding inclusion of business processes.
ERD.ppt
This document discusses entity relationship modeling and conceptual database design. It defines conceptual database design as describing the data, relationships between data, and constraints. The output is a conceptual data model and data dictionary. Entity relationship modeling is introduced as a top-down approach using entities, attributes, and relationships. The document covers gathering information, defining entities and attributes, and relationship types including one-to-one, one-to-many, and many-to-many. It also discusses cardinality, connectivity, and how to evaluate a good data model.
Cn presentation on the topic called as re modelling
The document discusses conceptual database design using the entity-relationship model. It provides an overview of the database design process and introduces key concepts of the ER model including entities, attributes, relationships and entity types. It then presents an example database for a company (COMPANY) and develops the initial entity types and relationships for the conceptual design using ER diagram notation. The entity types include DEPARTMENT, PROJECT, EMPLOYEE and DEPENDENT and the relationship types include WORKS_ON and MANAGES.
Itlc hanoi ba day 3 - thai son - data modelling
https://www.facebook.com/events/535707009911719/
(ITLC HN) BA DAY3: CHIẾN LƯỢC THIẾT KẾ MÔ HÌNH DỮ LIỆU
1.Thời gian: 18:30 - 21:00, 10/9/2015 (Tối thứ 5)
2. Địa điểm: HATCH - Tầng 14 - 195B Đội Cấn (http://nest.hatch.vn/nest-14.html)
3. Tổ chức: Ban tổ chức sự kiện ITLC Hà Nội
4. Chương trình:
18:30 - 18:45: Đón khách
18:45 - 19:00: Nguyễn Mạnh Cường (Fis) Giới thiệu ITLC Hà Nội
19:00 - 19:30: Thái Sơn chia sẻ “Một số mô hình dữ liệu mẫu trong phân tích nghiệp vụ”
19:30 - 19:50: Lê Phú Cường chia sẻ “Chiến lược lưu giữ dữ liệu lịch sử”
19:50 - 20:50: Panel cùng với: Thái Sơn, Lê Phú Cường, Lê Văn Duy
20:50 - 21:00: Tổng kết sự kiện và chụp hình kỷ niệm
5. Đăng ký: theo form sau đây http://topi.ca/baday3
6. Phí tham gia: 100K
7. Liên hệ, giải đáp: Lê Đại Nam: 0902-261-239
Xem thêm sự kiện BA1 tại đây: https://www.facebook.com/events/1616821285258614/
Xem thêm sự kiện BA2 tại đây: https://www.facebook.com/events/1669594633274443/
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entity-relationship-diagram-chen-&-crow -model.ppt
The document discusses entity relationship diagrams and how to model data using ER diagrams. It covers the key components of ER diagrams including entities, attributes, relationships and cardinality. Entities can be people, places, objects, events or concepts. Attributes are the properties of entities. Relationships show associations between entities. Cardinality specifies the minimum and maximum number of relationships between entities. The document provides examples and guidelines for properly constructing ER diagrams to model data without redundancy.
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- 4. Feasibility study Requirement Analysis & Specifications Data Modeling Process Modeling Implementation Prototyping Testing DESIGN APPROACH
- 5. DESIGN PHASES Requirements Collection & Analysis Conceptual Design (G) Logical Design (Blue Print) Physical Design Application Design Methods Req. Collection Conceptual Model Data Base System DBMS Tools , OS Requirements Specs Conceptual Database Model Logical Models Performance Tests Final Schema Application PGMS
- 6. Conceptual Design Logical Design Physical Design Application Design Requirement Collection & Analysis C,Windows,Power Builder ORACLE Relational DBs ER & ERR Model Questionnaire & Interview DESIGN METHODS
- 8. A Map Is a Model of Reality MODEL OF REALITY
- 18. Student Roll No Skill Dob F.Name M.Name L.Name Name EXAMPLE Degree
- 21. E 1 E 2 R min,max min,max Participation 0 – Partial 1 - Total Cardinality 1 - - One M - - More than One O - - One Student CARDINALITY AND PARTICIPATION Advise Faculty X Z Y A B C D
- 22. Unary Relationship Binary Relationship Ternary/N-ary Relationship RELATIONSHIP DEGREES
- 23. Person Married (0,1) (0,1) Unary Relationship RELATIONSHIP DEGREE Employee Manager (0,m) (0,1)
- 24. One –to-one binary Relationship A A One –to-Many binary Relationship B C D X Y Z E1 E2 (1, 1) (0, m) BINARY RELATIONSHIP B C D X Y Z
- 25. Many to Many binary Relationship X Y Z A B C D BINARY RELATIONSHIP Justification E1 E2 R1 (0, m) (1, m)
- 26. Customer SELL Salesman Car TERNARY RELATIONSHIP CAR REP (0,1) (0, m) Sell Customer (0,M)
- 27. Unary n-ary to RELATIONSHIP DEGREE