MongoDB Data Modeling Path

This learning path guides you through the foundational steps of creating an effective data model in MongoDB

When you complete this learning path, you will receive 50% off a  MongoDB Associate Data Modeler Exam attempt.


Milestone
  • MongoDB Data Modeling Path


    Data Modeling for MongoDB Overview

    Required
    Unit
    | John McCambridge, Eliza Spang, Sarah Evans, Emily Pope, Daniel Curran, Vick Mena, Parker Faucher

    3 Minutes

    Gain an overview of data modeling in MongoDB and learn about the example application used throughout the Data Modeling for MongoDB course.
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    Schema Design Patterns

    Required
    Unit
    | John McCambridge, Sarah Evans, Emily Pope, Daniel Curran, Vick Mena, Parker Faucher

    1 Hour

    Learn how to apply schema design patterns to an application which is the third step of data modeling with MongoDB.
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    Advanced Schema Design Patterns

    Required
    Unit
    | Manuel Fontan Garcia, Sarah Evans, Emily Pope, Daniel Curran, John McCambridge, Vick Mena

    2.75 Hours

    Learn how to apply advanced schema design patterns to an application to improve performance and avoid common anti-patterns.
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    Schema Design Anti Patterns

    Required
    Unit
    | Sarah Evans, Manuel Fontan Garcia, Emily Pope, Daniel Curran, Vick Mena

    1 Hour

    Learn about common anti-patterns and how to avoid them when data modeling with MongoDB.
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    Modeling Data Relationships

    Required
    Unit
    | Sarah Evans, Eliza Spang, Emily Pope, Daniel Curran, Vick Mena, John McCambridge

    45 Minutes

    Learn how to identify and model data relationships in an application which is the second step of data modeling with MongoDB.
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    MongoDB Indexes

    Required
    Unit
    | Laura Gutierrez Munoz, Daniel Curran, John McCambridge

    1.75 Hours

    Learn how to improve MongoDB performance by learning how to create single, compound, and multikey indexes as well as how to delete indexes.
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    MongoDB Indexes II

    Required
    Unit
    | John McCambridge, Jordan Smith, Vick Mena, Parker Faucher

    3 Hours

    Learn about the inner workings of indexes and how they help improve query performance.
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