The Complete MongoDB: Build, Scale & Query NoSQL Databases

Learn the core MongoDB concepts: databases, collections, and documents stored in a flexible JSON-like format. Use command-line and visual tools to create, insert, and query data at scale.

MongoDB uses bson, a binary json, for internal storage to enable faster processing and indexing, while json remains human readable for data exchange.

Learn how to perform create, read, update, and delete operations in MongoDB using the shell, manage databases and collections, and work with documents.

Learn how MongoDB represents data through common data types—strings, integers, doubles, booleans, arrays, embedded objects, dates, and object ids—with hands-on shell demonstrations.

Learn to query MongoDB with find and findOne by inserting sample documents, filtering by city and age, using comparison operators, and projecting specific fields.

Explore MongoDB schema design by comparing embedding and referencing, demonstrating when to embed related data for fast reads and when to reference for scalability and updates.

Explore when to embed or reference related data in MongoDB, using embedded documents for fast, tightly related data and references for large, flexible, or update-heavy datasets.

Learn to model one-to-one, one-to-many, and many-to-many relationships in MongoDB, using embedding or references, with practical examples and lookup/aggregation techniques.

Learn to design a MongoDB schema by choosing embedding for tightly connected data like user addresses and referencing for data such as products in orders, with indexing to speed searches.

Learn how indexing speeds up queries in MongoDB by using single-field and compound indexes, avoiding full collection scans, while balancing storage and insert/update costs.

Learn how to speed up queries with MongoDB's aggregation pipeline. Build, filter, transform, and group data to compute totals like revenue by category, then sort results.

Explore MongoDB's aggregation pipeline using match, group, and project to filter electronics, group by category, and compute total revenue from price and quantity.

Master filtering and sorting in MongoDB with the aggregation framework, using match to retrieve specific documents and sort to order by price, including combined match and sort for efficient queries.

Explore complex aggregations in MongoDB using the aggregation pipeline, filtering data, grouping by category to calculate total revenue, and sorting results.

Learn how MongoDB aggregation pipelines enable data processing at scale with filtering and grouping. See hands-on demos for calculating total sales, finding best-selling products, and analyzing customer behavior.

Explore how MongoDB indexes boost query performance on large datasets by creating an ascending index on the category field and using explain, dropIndex, and avoid full collection scans.

Create, view, and manage indexes in MongoDB to speed up searches on large datasets, optimize queries, and balance performance with write and storage trade-offs.

Discover how MongoDB text indexes enable fast full text search on large text fields, rank results by relevance, exclude terms, and support real-time search functionality.

Apply index query optimization, including single and compound indexes, to speed lookups. Use embedding or referencing for data modeling, and consider sharding and RAM/SSD hardware to scale MongoDB.

Practice configuring MongoDB access control by creating users with specific roles—read, write, and admin—assigning permissions to databases, and verifying roles with db.getUser.

Enable authentication in MongoDB on Windows by configuring security authorization, creating an admin user with root role, then adding an app user with read write access to your database.

Enable tls/ssl encryption for MongoDB by generating a self-signed certificate with OpenSSL, converting it to pem, configuring MongoDB to use tls, and verifying tls mode on connection.

Learn best practices for securing MongoDB databases, including enforcing a 12-character password policy, enabling authentication and admin users, applying role-based access control, and enabling TLS, auditing, and regular updates.

Master ACID transactions in MongoDB, covering automaticity, consistency, isolation, and durability, and perform multi-document transfers with sessions to ensure data integrity.

Learn to implement MongoDB transactions across balances and a transfers collection, using sessions and startTransaction with commit or abort to ensure consistency.

Explore how to handle rollback and error handling in MongoDB transactions to maintain data integrity during money transfers, including start session, start transaction, updates, and catch blocks.