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#0
Learning MongoDB - Pre-Requisites Skills & Setup Environment
Before writing your first query, there are foundations to put in place: basic terminal CLI skills and an understanding of the JSON data format, installing MongoDB Community Server via Docker or natively, and verifying that mongosh successfully connects to the database server.
August 3, 2026
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#1
Learning MongoDB - History, the NoSQL Concept & Why Choose MongoDB
This episode explores the limitations of RDBMS in the big data era, the four NoSQL categories, the history of MongoDB's birth by 10gen, and why this document database deserves to be chosen — complete with comparisons with PostgreSQL, DynamoDB, and Firestore.
August 3, 2026
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#2
Learning MongoDB - Core Concepts & MongoDB Data Structure
Dissecting MongoDB's data hierarchy from database, collection, document, to field; understanding the BSON format and the rich data types within it; and breaking down the _id field and the 12-byte ObjectId that guarantees the uniqueness of every document.
August 3, 2026
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#3
Learning MongoDB - Create & Read Operations (Insert & Find)
Writing your first data to MongoDB using insertOne, insertMany, and bulkWrite for mixed batch operations, then reading that data back with find, findOne, and projection to select which fields are returned.
August 3, 2026
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#4
Learning MongoDB - Update & Delete Operations
Completing the CRUD operations: updating documents with updateOne, updateMany, replaceOne, and findOneAndUpdate, learning update operators for fields and arrays, deleting data, and the upsert pattern that unites insert and update in a single command.
August 3, 2026
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#5
Learning MongoDB - Advanced Query Filters & Operators
Deepening query capabilities with comparison, logical, element, and array operators; mastering sorting, limit, and skip; and dissecting offset-based pagination versus cursor-based pagination for large-scale applications.
August 3, 2026
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#6
Learning MongoDB - Schema Design Patterns & Best Practices
Understanding that a flexible schema doesn't mean no design, mastering the principle of data locality and the habit of writing query-oriented schemas, and recognizing anti-patterns such as massive arrays and excessive nesting along with their solutions.
August 3, 2026
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#7
Learning MongoDB - Data Modeling: Embedding vs Referencing
Dissecting MongoDB's most important data design decision: when to embed documents for data locality and when to reference with ObjectId, mapping the one-to-few, one-to-many, and many-to-many patterns, and the hybrid approach that balances both.
August 3, 2026
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#8
Learning MongoDB - Schema Validation & Data Integrity Rules
Enforcing data rules inside MongoDB with the JSON Schema $jsonSchema validator, understanding the difference between the strict and moderate validation levels, choosing the error or warn validation action, and applying rules to maintain data integrity.
August 3, 2026
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#9
Learning MongoDB - Aggregation Pipeline Fundamentals
Processing data through a sequence of staged steps like a Unix pipeline, mastering $match, $project, $group, $sort, $limit, and $unwind, and computing aggregations with $sum, $avg, $count, and $push to generate insight from raw data.
August 3, 2026
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