Data Modeling Techniques you need to adopt in 2024

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DATA MODELING
TO ADOPT IN 2024
TECHNIQUES YOU NEED
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Data Modeling Technique what why who
UML Modeling Standard Capture and Software
language for communicate system engineers, designers
Dimensional Designing designs Optimized for Data
Modeling data query architects,
warehouses performance business analysts
Star Schema Schema with Simplifies Data
Modeling fact tables queries and aggregations warehouse designers, analysts
Physical Data Designing Optimizes for Database
Modeling database storage and administrator
schema performance s, developers
Logical Data Representing Ensures data Data
Modeling data integrity and architects,
structure consistency database designers
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Data Modeling what why who
Technique Technique Technique Technique
Entity- Representing Model real- Database
Relationship relationships world entities designers,
Modeling analysts
Relational Modeling Organizes Database
Modeling data using data in a designers,
tables structured manner developers
Object- Combining Handles Database
Relational OOP and complex data designers,
Modeling relational types and relationships developers
Object- Storing data Mimics real- Developers,
Oriented as objects world objects architects
Database Model Database Model Database Model Database Model
Conceptual High-level Understand Business
Data modeling business analysts,
Modeling requirements stakeholders
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Data Modeling Technique what why who
Graph data Data Suitable for Data scientists,
model represented complex graph database
as network relationships developers
Network Hierarchical Efficient for Database
Technique data model complex relationships designers
Hierarchical Data Simple and Database
Technique organized in a tree-like easy to understand designers
NoSQL Data Designing Scalability, Developers,
Modeling databases flexibility, performance architects
Temporal Modeling Captures Data architects,
Data data with data changes analysts
Modeling time over time
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Data Modeling Technique what why who
Fact-Based Modelling Clear Data architects,
Modeling facts, representation of business
dimensions business processes analysts
Data Vault Optimized for Scalability and Data architects,
Modeling data warehousing flexibility ETL developers
Key-Value Data stored Simple and Developers,
Data as key-value flexible structure architects
Modeling pairs
Document Organizing Flexible schema, Developers,
Data data as efficient for architects
Modeling documents hierarchy
Snowflake Extension of Reduces data Data
Schema star schema redundancy, improves warehouse designers
performance
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