MongoDB - The Complete MongoDB Developers Course

Discover how MongoDB, a NoSQL document-oriented database, stores flexible JSON-like documents with high performance, availability, and easy scalability; learn about databases, collections, documents, and Atlas cloud deployment.

Learn to download and install MongoDB Community edition on Windows using the MSI installer, select version 7.0, set the destination, update PATH, and verify the mongo shell works.

Explore the MongoDB query API to retrieve data via the find method and aggregation pipelines. Learn about indexing, text search, and time series support with Mongo shell and MongoDB Compass.

Create a MongoDB database and collection using Compass and the shell, then insert documents and explore operations like find, show, and basic database concepts.

Create collections in MongoDB by understanding collections as containers for documents, and practice with the compass and shell to insert documents, switch databases, and define collection options.

Learn how to insert data into a MongoDB collection with insert one and insert many in the Mongo shell, creating a blog post collection with title, body, category, and likes.

Explains how to use the MongoDB find operation to query collections, retrieve specific documents by criteria, project fields, and sort results.

explore the update operation in MongoDB, which modifies existing documents, including single-document updates with $set, updates to multiple documents, and array updates.

Learn how to perform delete operations in MongoDB, using delete one and delete many with query objects to remove documents from the post collection and verify results.

Explore MongoDB query operators to filter, sort, and manipulate data queries in book collections, using find with rating conditions and greater than, less than, and or operators.

Master MongoDB update operators, including min, max, mul, rename, and set, and learn to apply updateOne to precisely modify fields such as price and score.

Master the MongoDB aggregation pipeline to transform data, group by category, compute totals with sum, and control results with sort and limit stages.

Explore the MongoDB aggregate group stage, a powerful tool for transforming data by grouping on product and computing total quantity and total price in an aggregation pipeline.

Learn to control result size with the MongoDB aggregation pipeline using the $limit stage, including fixed and dynamic limits in the shell.

Explore the MongoDB aggregation pipeline using the $project stage to reshape documents, create new fields from existing ones, and produce fields like student name and marks in the output.

Master the MongoDB aggregation sort stage to order documents by single or multiple fields in ascending or descending order, while handling null or missing values and combining with match filters.

Master the MongoDB aggregation match stage to filter and refine data within a pipeline, combining match with other stages and handling complex conditions to produce targeted results.

Learn how to enrich documents with a new field using the MongoDB aggregation addFields stage, compute total price from price and quantity, and apply conditional logic.

Explore the MongoDB aggregation $count operator and its use in an aggregation pipeline to count documents, including total counts and category counts with sum.

Learn how to use the MongoDB aggregation $out operator to persist aggregation results into a destination collection, enabling fast, ready-to-access summaries and performance optimization.

Explore how indexing drives MongoDB performance by creating optimal indexes for search and queries. Learn about single-field, compound, and text indexes, plus practical pitfalls to avoid.

Learn to implement MongoDB schema validation using JSON schema to enforce data structure and integrity, define required fields and types, and apply rules via the MongoDB shell and VS Code.

Learn how the MongoDB data API provides a RESTful bridge over HTTP to Atlas, enabling you to interact with data via VS Code setup and sample accounts and customers.

Explore MongoDB's aggregation framework and the limit stage to cap result sets, using fixed and dynamic limits in the shell and across collections.

Explore how MongoDB chart visualizes Atlas data, turning sample product data into interactive visuals such as donut charts and heatmaps, with steps to create, customize, and share charts.