MongoDB - Application Development (MONGO1)

Databases, NoSQL and Big Data

This two-day course teaches practical skills for working with MongoDB, one of the most popular NoSQL databases. You will learn core concepts like data modeling, document structure, deployment choices and how to use tools and indexes to query and manage real datasets.

Through hands-on labs you will practice inserting, updating and querying documents, work with nested documents and arrays, learn about indexes to optimize queries, build aggregations using pipeline operators, handle transactions, and use MongoDB Compass for visual management and testing.

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The course:

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  • Introduction to MongoDB
    1. What is MongoDB? Basic principles of NoSQL databases
    2. Running MongoDB: on-premise vs. cloud solutions
    3. MongoDB Atlas: introduction to cloud management
    4. Data structure: JSON, BSON and data types
  • Working with documents
    1. Insert: inserting new documents into the database
    2. Update: updating data records
    3. Delete: removing documents
    4. Simple querying: effective data searches
  • Data models
    1. NoSQL vs SQL: comparing approaches and data models
    2. Tree structures: organizing hierarchical data
    3. Nested documents: working with embedded data
    4. Working with arrays: storing and querying array values
  • Advanced querying
    1. Operators: using operators in queries
    2. Working with array data: querying within arrays
    3. Data in nested documents: handling complex structures
    4. Regular expressions: using regex in queries
  • MongoDB Compass
    1. Using MongoDB Compass for visual database management
    2. Creating and editing documents and queries
  • Indexes
    1. Types of indexes: overview of MongoDB index types
    2. Basic optimization: improving query performance with indexes
  • Aggregation
    1. Pipeline: using aggregation pipelines in MongoDB
    2. Aggregation operators: using operators for data processing
  • Transactions
    1. Understanding transactions in MongoDB
    2. Working with transactions to ensure data consistency
  • Cursors
    1. Working with cursors: iterating over query results
Assumed knowledge:
Basic familiarity with relational databases or backend development.
Schedule:
2 days (9:00 AM - 5:00 PM )
Language: