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    Data Modeling Training

    BY
    Mindmajix Technologies

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    Mode

    Online

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Frequency of Classes Weekdays, Weekends

    Course and certificate fees

    certificate availability

    Yes

    certificate providing authority

    Mindmajix Technologies

    The syllabus

    Basics of Data Modeling

    • What is a Data Modeling?
    • Perquisites for becoming a Data Modeler
    • Data Modeler Duties and Responsibilities.
    • Data Modeler vs Governance
    • Who Needs Data Modeling.
    • Essence of Data Modeling in an Organization.

    Data Model Overall Process

    • Understanding the Business Process
    • Identify the Grain
    • Identify the Dimensions
    • Identify the Facts

    Notations

    • IDEFIX Methodology
    • IE Methodology

    Schema Types

    • Star Schema
    • Snowflake Schema

    Data Modeling Types

    • Conceptual Data Models
    • Logical Data Models
    • Physical Data Models
    • Difference between Logical Data Model and Physical Data Model.
    • Relational Data Models
    • Dimensional Data Models
    • Enterprise Data Model 
    • Data Modeling Development Life Cycle.

    Dimension Types

    • Junk Dimension
    • Confirmed Dimension
    • Degenerate Dimension
    • Role Playing Dimension
    • Type 0 Dimension
    • Type 1 Dimension
    • Type 2 (Slowly Changing Dimensions)
    • Type 3 Dimension
    • Type 4 Dimension
    • Type 5 Dimension
    • Type 6 Dimension
    • Type 7 Dimension

    Fact Types

    • Additive Facts
    • Non Additive Facts
    • Semi Additive Facts

    Fact Table Types

    • Transaction Fact Tables
    • Periodic Fact Tables
    • Accumulation Fact Tables

    Relationships

    • One to one Relationship
    • One to Many Relationship
    • Many to Many Relationship
    • Resolving Many to Many Relationship
    • Self-Relational Integrity Relationship
    • Normalization Process  - 1NF, 2NF, 3NF
    • Super type and subtype 
    • Exclusive subtypes
    • Inclusive Subtypes
    • Identifying and Non-Identifying.( Mandatory , Non Mandatory)
    • Weak Entities
    • Strong Entities
    • Associative Entities
    • Transaction Tables
    • Classification Table

    Data Modeling Standards

    • Naming Standards of Objects( Tables, Attributes, Data Types)
    • Abbreviating Column Names
    • Abbreviation Table Names
    • Description of Column 
    • Description of Table
    • Consistency in Column Names

    Dealing with Hierarchy Information

    • Parent and Child Hierarchy
    • Balanced Hierarchy
    • Unbalanced Hierarchy
    • Ragged Hierarchy
    • Static Hierarchy
    • Dynamic Hierarchy

    Data modeling more info

    • Forward Engineering
    • Reverse Engineering
    • Subject Areas
    • Comparison of Data Models
    • Mapping Documents.
    • Versioning of Data Models

    Data Model Reports

    • Table Level Reports
    • Model Level Reports
    • Subject area Level Reports
    • XML, PDF, XLS, CSV reports.

    Practice Test and Interview Questions

    Instructors

    Mr Sunil Sharma
    Trainer
    Mindmajix Technologies

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