Реферат тақырыбы: The conceptual, logical and physical data models
жүктеу/скачать 23.78 Kb.
|
- Бұл бет үшін навигация:
- What is Data Modelling Data modeling (data modelling)
- Data Models in DBMS The Data Model
|
ҚҰДАЙБЕРГЕН ЖҰБАНОВ АТЫНДАҒЫ АҚТӨБЕ ӨҢІРЛІК УНИВЕРСИТЕТІ ТАРИХ ФАКУЛЬТЕТІ РЕФЕРАТ
Орындаған тарих-104 1 курс студенті: Досмұрза А.Н. Тексерген: Убаева Ж.К. Ақтөбе 2022ж. PLAN What is Data Modelling? Data Models in DBMS 2.2 Types of Data Models in DBMS 3. Why use Data Model ? 4. Conceptual Data Model 4.1. Characteristics of a conceptual data model 5. Logical Data Model 5.1. Characteristics of a Logical data model 6. Physical Data Model 7. Advantages and Disadvantages of Data Model 8. Conclusion What is Data Modelling? Data modeling (data modelling) is the process of creating a data model for the data to be stored in a database. This data model is a conceptual representation of Data objects, the associations between different data objects, and the rules. Data modeling helps in the visual representation of data and enforces business rules, regulatory compliances, and government policies on the data. Data Models ensure consistency in naming conventions, default values, semantics, security while ensuring quality of the data. Data Models in DBMS The Data Model is defined as an abstract model that organizes data description, data semantics, and consistency constraints of data. The data model emphasizes on what data is needed and how it should be organized instead of what operations will be performed on data. Data Model is like an architect’s building plan, which helps to build conceptual models and set a relationship between data items. The two types of Data Modeling Techniques are Entity Relationship (E-R) Model UML (Unified Modelling Language) We will discuss them in detail later. This Data Modeling Tutorial is best suited for freshers, beginners as well as experienced professionals. жүктеу/скачать 23.78 Kb. Достарыңызбен бөлісу:
|