Data Modelling
Started: 12/31/2001
Duration: 12170 months
Harness the power of data modelling (also known as data modeling) to build scalable, high-performance databases that fuel data-driven decisions and seamless user experiences.
- Conceptual Models: Translate business goals into clear Entity-Relationship diagrams, defining core entities, attributes, and high-level relationships.
- Logical Models: Refine conceptual designs into normalized schemas—ensuring data integrity, eliminating redundancy, and optimizing for complex queries.
- Physical Models: Map your logical schema to real-world storage: design tables, indexes, partitions, and constraints for maximum performance and scalability.
- Database Optimization: Leverage indexing strategies, partitioning, and denormalization where appropriate to accelerate queries and support high-traffic applications.
- Collaboration & Governance: Partner with stakeholders to document model changes, maintain version control, and enforce data governance best practices.
Key Skills: Conceptual Modelling · Logical Modelling · Physical Modelling · ER Diagrams · Normalization · SQL · PostgreSQL · Oracle · Data Warehousing · Performance Tuning
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