Data Modelling Real-world Complexities to Relationship

Duration: Hours


    Category: Tag:

    Training Mode: Online


    Data-modelling-real-world-complexities is based on the notion of real-world entities and relationships among them. It creates an entity set, a relationship set.

    Course Content 
    • Data Modeling Fundamentals
    • The Purpose and Role of Data Modeling
    • Basic Data Modeling Concepts and Terminology
    • Navigate Your Alternatives Among Methodologies, Techniques, and Notations
    • Compare Data Modeling to Database Design
    • Compare Transactional Data Modeling to Analytical Data Modeling
    • Summarize Data Modeling Fundamentals
    2-Building Blocks of Data Modelling
    • Introducing Data Modeling Building Blocks
    • The role of Entities in Data Modelling
    • Add Attributes to Your Data Model
    • Use Multi-Valued Attributes in Your Data Model
    • Build Relationships into Your Data Model
    • Summarize Data Modeling Building Blocks
    • Basic Data Modelling
    3-Real-world Complexities to entities and Attributes
    • Why Real-World Complexities Matter in Data Modeling
    • Build Hierarchies for the Entities in Your Data Model
    • Specify Constraints for Your Attributes
    • Specify Cross-Entity Dependencies Through Strong and Weak Entities
    • Summarize Real-World Entity and Attribute Complexities
    • Entity and Attribute Constraints
    4-Real-world Complexities to Relationship
    • Why Relationship Cardinality and Complexities Matter
    • Build Real-World Complexities into Data Model Relationships
    • Define the Maximum Cardinality of a Relationship
    • Define the Minimum Cardinality of a Relationship
    • Use Crow’s Foot Notation for Minimum and Maximum Cardinality
    • Summarize Cardinality and Complex Relationships
    5-Move across the different levels of Data Model
    • Harmonize Different Levels of a Data Model
    • A Brief Look at Relational Database Normalization
    • Forward-Engineering Your Conceptual Data Model
    • More Data Model Forward-Engineering
    • Reverse-Engineer a Physical Model Back into a Conceptual Model
    • Summarize How to Work with Different Levels of a Data Model
    6-Software for Data Modelling
    • The Importance of Data Modeling Software
    • Build a Data Model with a Drawing Program
    • Build a Model with a Data Modelling Software Tool
    7-Mandatory, Optional Sub-type Recursive
    • Relational Model & Normalization principles(1NF,2NF,3NF)
    • Relational Algebra & SQL
    • Dimensional modeling approach
    • Inmon v/s Kimball approach
    • Dimensional modeling steps
    • Star & snowflake schema
    • Fact table techniques
    • Dimension table techniques
    • Slowly changing dimensions
    8-Architect Data Modeler
    • Data Modeling and diagram visualization techniques
    • ER Diagrams
    • Instant SQL
    • Data Robot
    • Forward & Reverse Engineering
    • Model Comparison
    • Reporting & Publishing
    • Dimensional Modelling

    Locus Academy has more than a decade experience in delivering the training/staffing on Data Modelling for corporates across the globe. The participants for the training/staffing on Data Modelling are extremely satisfied and are able to implement the learnings in their on going projects.


    There are no reviews yet.

    Be the first to review “Data Modelling Real-world Complexities to Relationship”

    Your email address will not be published. Required fields are marked *


      Category: Tag: