What are Entities, Attributes, and Relationships?
1. Entities
Entities stand for the basic concepts or objects that cover the issue area. In most cases of word history, they are nouns distinguished by the attributes they have. For instance, in a banking space, the entities could relate to Customer, Account, Transaction, etc.
2. Relationships
Relationships imply the connections and interactions of persons, things, places, and events. They determine which thing such as other people are subject to or with who they interact. Different types of relationships generally fall into one-to-one, one-to-many, or many-to-many categories.
3. Attributes
Attributes are the characterization or description of entities. They give long descriptions outlining objects and positions, and these are simply shown as data fields. Likewise, an instance of Customer entity class may include properties such as the name, address, phone number, and so on.
Data Modeling in System Design
Data modeling is the process of creating a conceptual representation of data and its relationships within a system, enabling stakeholders to understand, communicate, and implement data-related requirements effectively.
Important Topics for Data Modeling in System Design
- What is Data Modeling?
- Importance of Data Modeling in System Design
- Types of Data Models
- What are Entities, Attributes, and Relationships?
- Data Modeling Notations
- Normalization Techniques
- Denormalization Strategies
- Data Modeling in NoSQL Databases
- Time Series Data Modeling
- Real-world Examples of Data Modeling
- Best Practices for Data Modeling
- Benefits of Data Modeling
- Challenges of Data Modeling
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