Introduction to MongoDB — The Easiest Way to Deploy, Operate, and Scale

Here is my experience of attending a workshop by Vimal Daga Sir on MongoDB.

What is MongoDB?

MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. It is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc.

Key-Takeaways:

• File system is a method of storing data permanently. It controls how data is stored and retrieved.
• Data Model describes the format in which the data is stored inside a structure.
• SQL stands for Structured Query Language.
• JSON stands for JavaScript Object Notation.
• CRUD stands for Create Read Update and Delete.
• Indexing is a data structure to efficiently retrieve records from the database. Indexing provides a reference to an item, which helps to retrieve the item faster.
  Creating an index of two or more items at once is known as compound indexing.
• Sharding is a method for distributing data across multiple machines.
• MongoDB aggregation pipeline is a framework that transforms the documents into aggregated results.
• Mongo Router is present in the master node of the cluster. The metadata of the data in every slave node is stored inside this router.
• Referencing model is an architectural design for storing the data in the form of multiple documents.
• MongoDB Atlas is a fully managed cloud database. Atlas helps to perform deploying, managing and healing on the cloud service provider (AWS, Azure, and GCP).