Advanced Data Modeling Techniques in Pakistan

Whether you are a business data modeler who represents data requirements as entities and relationships, or a physical data modeler more concerned with tables, columns, and indexes, you know that the hard stuff lies beneath the surface. Every data design, whether logical or technical, is challenged by one or more complex considerations—scalability, adaptability, performance, legacy and package databases, etc. Every data model raises questions. Advanced modeling techniques provide many of the answers. This course explores different situations facing data modeling practitioners and provides information and techniques to help them develop the appropriate data models.

You Will Learn

Enterprise architecture approaches and how to apply them
How big data and analytics impact traditional approaches
Different data models and how they relate to each other
The role of modeling in analytics
Higher normalization forms
How to effectively apply generalization and specialization
The role of metadata management in data governance
State and time dependencies and how to handle them
How to validate the data model
How to transform the business data model into physical models based on the application
The implications of alternative storage approaches
The roles and structures of complementary models
How to deal with multiple time zones and currencies

Geared To

Data modelers with some practical experience; data architects; database developers

Technical resources.

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September 30, 2021