Master MongoDB: Cloud Based NoSQL Database Management

Learn to use the MongoDB shell to connect to a local server, switch databases, create collections, insert documents, query with find and pretty print, and update a document with $set.

Master MongoDB, a NoSQL database, by modeling data with documents, collections, and databases, and learn to create databases, set up collections, and insert documents.

Learn to perform create, read, update, and delete operations on cloud-based MongoDB data using collections, documents, and databases.

Learn how to insert documents in MongoDB and understand common data types such as text data, integers, long, boolean, date/time, arrays, and embedded documents.

Learn to insert documents into a shop database and run basic queries with find and findOne to filter products by name, brand, price, and other fields.

Master MongoDB query operators, including comparison, logical, and area operators, through inserting sample data and using find queries to filter by price, and using operators like $gt, $in, $or, $exists.

Learn to create a database and collections, insert documents, and retrieve sorted and limited results in MongoDB using find, sort, and limit to control output.

Master MongoDB's aggregation pipeline through practical examples that create databases and collections, insert documents, and use group, sum, match, and sort to analyze orders by customer and category.

Master MongoDB demonstrates using aggregation stages—match, group, project, sort, and limit—to filter transactions, calculate total spend per customer, reshape results, and surface the top two customers.

Explore MongoDB basics: create a database and collections, insert multiple documents, and perform aggregations to calculate averages and identify top values.

Master MongoDB indexing by exploring compound, unique, and text indexes, with practical examples of creating databases, inserting documents, and observing improved query performance.

Create and manage MongoDB indexes to speed reads: single-field index on category, compound index on category and price, and a unique index on name on an e-commerce products collection.

MongoDB query performance optimization teaches building indexes on category and price, executing fast queries for electronics, applying sort, limiting results, and using explain to analyze performance.

Back up your MongoDB data using mongodump and mongorestore, including authentication and database-specific dumps, with practical steps for creating and restoring backups.

Enable authentication in MongoDB and configure authorization by creating an admin with root access, a shop database user with read/write, and custom roles for the products collection.

Learn to enable client-side field-level encryption in MongoDB, protect sensitive data with local keys, and implement auditing and access controls to monitor and restrict data access.