Normalization Techniques
Normalization is an approach utilized in data modeling to arrive at a database without duplication and independence by means of which effective and organized database architecture can be obtained.
Common normalization techniques include:
- First Normal Form (1NF): Ensures that ever table attribute has atomic values and they don’t have repeating groups.
- Second Normal Form (2NF): It develops by removing the occurence of partial dependencies and that only the whole primary key must be relied on.
- Third Normal Form (3NF): To the added effect, it parallels data redundancy by eliminating transitive dependencies, thereby make sure that the non-key attributes just depend on the key.
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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