Data Modeling
ICSE · Class 11 · Artificial Intelligence
Quick revision notes for Data Modeling — ICSE Class 11 Artificial Intelligence. Key concepts, formulas, and definitions for last-minute revision.
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Key Topics to Revise
1. Core Idea of Data Modeling
- Data modeling is the process of creating a blueprint for how data will be stored and used.
- It involves defining data types, relationships among them, and how data can be grouped and organized.
- Omission of data in a data model leads to faulty reports and incorrect results.
2. Data Modeling Process
- The data modeling process involves six steps.
- Identify the entities: determine the things, events, or concepts represented in the data set.
- Identify key properties of each entity: these are attributes.
3. Conceptual Data Model and ER Model
- The conceptual model is developed independently of hardware and software specifications.
- Its focus is to represent data as a user will see it in the real world.
- The ER model is a conceptual design of a database that is easy to design the view of data.
4. Logical Data Model and Relational Model
- The logical data model represents only the logical part of the database, not the physical structure.
- It indicates data attributes such as data types and lengths, and shows relationships among entities.
- It is not dependent on any specific technical system requirements.
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