
Compare json and bson in mongodb, noting json as text-based and bson as binary. Discover how json suits web APIs while bson powers mongodb storage with flexible schema and replication.
Learn to install MongoDB on Windows 64-bit by downloading the MongoDB community server and mongosh, set environment paths, and verify with mongosh show dbs using MongoDB Compass for management.
Learn to create a database and collections in MongoDB using the use command and dv.createCollection, with collections housing documents and names without spaces.
Open the mongoose shell or command prompt, connect to the mongoose shell, and create a school database with collections like students and library using use, show dbs, and db.createCollection.
Master the basics of inserting documents in MongoDB by using insert one and insert many, creating a collection, and viewing results with find in a practical tutorial.
This lecture introduces MongoDB data types, including string, double, 32-bit and 64-bit integers, boolean, array, object, null, date, and object id, plus ISO date and new date usage.
Learn how to apply validation to an existing collection in MongoDB using db.runCommand, defining callMode and a JSON schema with properties like name, age, address, and hobbies.
Welcome to the MongoDB Masterclass, your complete guide to mastering one of the world's most popular NoSQL databases. Whether you are a beginner exploring databases for the first time or a developer looking to expand your backend development skills, this course will provide you with the practical knowledge needed to build scalable, high-performance applications using MongoDB.
MongoDB has become a leading choice for modern application development because of its flexibility, scalability, and ability to handle large volumes of unstructured data. In this course, you will learn how MongoDB works, how to create and manage databases, and how to store, retrieve, update, and delete data efficiently using documents and collections.
Starting with the fundamentals, you will explore MongoDB architecture, data modeling concepts, and database design best practices. You will then move on to performing CRUD operations, working with embedded documents, creating relationships between collections, and writing powerful queries to retrieve data efficiently.
As you progress, you will learn advanced topics such as indexing, aggregation pipelines, schema validation, transactions, replication, sharding, performance optimization, backup and recovery, and security best practices. You will also gain hands-on experience through practical exercises and real-world examples that demonstrate how MongoDB is used in modern web and enterprise applications.
By the end of this course, you will have the confidence to design, develop, optimize, and manage MongoDB databases for production-ready applications. Whether your goal is to become a backend developer, full-stack developer, database administrator, or software engineer, this course will equip you with the essential MongoDB skills required in today's technology industry.