MongoDB MasterClass

Install the MongoDB shell, connect to Atlas with a connection string, and verify databases and collections like departments and employees, then prepare to run scripts to create documents.

Learn to insert multiple documents in a MongoDB collection using insertMany with an array, then verify with find and MongoDB Compass.

Explore the MongoDB find command in a lab: construct queries with conditions, apply projections to select fields (including nested arrays), and understand id behavior and pretty output.

Learn how to query relationships in MongoDB, a NoSQL database, using embedding denormalization or referencing normalization, and join data with the aggregation lookup between customers and orders.

Explore MongoDB data types used in documents, queries, and aggregations, including double, boolean, array, embedded documents, object id, date, timestamp, binary, regex, null, JavaScript, decimal, and min/max.

Discover how MongoDB stores diverse data types in a single document, including strings, numbers (integer and float), booleans, arrays, subdocuments, ISO dates, binary, regex, null, and embedded objects.

Explore how schema validation enforces document structure, types, and constraints in a MongoDB collection to maintain data integrity.

Define and apply schema validation rules to ensure inserted documents meet field types and required fields, and to reject invalid data and prevent wrong entries from entering MongoDB.

Master schema validation in MongoDB by applying constraints like Bson type, required fields, min and max, pattern, and enum. Learn how to enforce data integrity in documents.

Learn MongoDB validation levels—strict, moderate, and off—and see how they affect enforcement on new documents, updates, and existing data using defined schema rules.

Explore how MongoDB validation levels affect insert and update operations using a JSON schema validator, with strict and moderate modes enforcing required fields like name, head, and department.

Explore MongoDB operators, including comparison, logical, update, and aggregation operators, and learn how they filter, modify, and transfer documents in queries, updates, and analytics.

Discover how MongoDB operators enable efficient querying, updates (set, increment, unset), and logical/aggregation operations for complex computations, letting you filter, retrieve, and modify documents in the database.

Explore update operators in the MongoDB masterclass, including set, increment, multiply, unset, rename, push, and pull, and learn how to apply them in updates with field targeting and practical examples.

Explore how MongoDB uses relational operators to compare field values in queries, mirroring SQL with equal to, not equal to, greater than, less than, and $gt, $lt, $gte, $lte.

Explore relational operators in MongoDB, using $eq, $ne, $gt, $lt, $gte, and $lte to filter budgets, salaries, and ages. Compare with SQL equivalents and practice queries in the lab.

Learn how MongoDB relational operators filter data using equal to, not equal to, greater than, greater than or equal to, and less than or equal to on department budgets.