MongoDB Data Modeling Path

This course guides you through the foundational steps of creating an effective data model in MongoDB. In this course, you’ll use an example application to identify database entities and workloads. Next, you’ll map the relationships between entities and learn how to model these relationships in MongoDB, with a particular focus on learning when to embed or reference relationships. Finally, you’ll learn the foundational schema design patterns which will serve as a guide as you build your data model in MongoDB.



Milestone
  • MongoDB Data Modeling Path


    CRUD Operations in MongoDB

    Required
    Skill
    | 1.5 Hours
    Learn to perform Create, Read, Update, and Delete (CRUD) operations using MongoDB.
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    Relational to Document Model

    Required
    Skill
    | MongoDB University

    1.25 Hours

    Learn to convert SQL or relational models to MongoDB's document model, design data relationships, and enforce schema validation. Enhance your ability to create efficient, well-structured applications with robust data models using MongoDB.
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    Schema Design Patterns and Anti-patterns

    Required
    Skill
    | 1 Hour
    Learn essential schema design patterns like inheritance and computed patterns. Learn to identify and avoid common anti-patterns, such as unbounded arrays and bloated documents, to optimize your MongoDB database for performance and efficiency.
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    Advanced Schema Design Patterns and Anti-patterns

    Required
    Skill
    | 1 Hour
    Power up your MongoDB skills by learning advanced schema design patterns like approximation and schema versioning. Learn to manage schema lifecycle changes without downtime and identify performance-impacting anti-patterns, ensuring efficient and scalable database solutions.
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    Schema Design Optimization

    Required
    Skill
    | 1 Hour
    Optimize MongoDB performance by applying schema design patterns like single collection and bucket. Learn to refine data models and effectively scale them in sharded clusters, ensuring high efficiency and performance at any scale.
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    Fundamentals of Data Transformation

    Required
    Skill
    | 50 Minutes
    Learn how to build aggregation pipelines to process, transform, and analyze data efficiently in MongoDB.
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    Indexing Design Fundamentals

    Required
    Skill
    | 1 Hour
    Learn how to design efficient indexes to speed up queries, and reduce resource consumption in MongoDB.
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    Performance Tools and Techniques

    Required
    Skill
    | 1 Hour
    Explore key performance tuning techniques in MongoDB using profiling, slow query analysis, and system monitoring. Learn how to optimize indexes, cache utilization, and hardware configurations to improve database efficiency at scale.
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