🔥MongoDB Indexing Explained Within 20 Minutes | Indexing in MongoDB | Mongodb Tutorial | SimpliCode



🔥MongoDB Indexing Explained Within 20 Minutes | Indexing in MongoDB | Mongodb Tutorial | SimpliCode

🔥MongoDB Indexing Explained Within 20 Minutes | Indexing in MongoDB | Mongodb Tutorial | SimpliCode

🔥Free MongoDB Course: https://www.simplilearn.com/learn-mongodb-basics-skillup?utm_campaign=MongoDBIndexing16Nov22&utm_medium=Description&utm_source=youtube

This video on Indexing In MongoDB By Simplicode will help you understand about the Indexes and how they are used in MongoDB. Indexes are special data structures on which the index is created to hold the data of specific fields of documents. Indexing a table or view is undoubtedly one of the best ways to improve the performance and search efficiency in a database. This tutorial will take you through the different types of indexes used in MongoDB and how to create and manage indexes in MongoDB.This MongoDB tutorial will help you learn the major fundamentals of MongoDB Indexes and their various types with theoretical and practical examples for a better learning experience.

In this Tutorial, you will learn:

What are indexes in MongoDB?
Why do we use Indexing in MongoDB?
How does Indexing work in MongoDB?
How to Create an Index
Types of MongoDB Indexes
Syntax and Execution in MongoDB Shell

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What is MongoDB?
MongoDB is a cross-platform document-oriented database program that is open source. MongoDB, a NoSQL database program, uses documents that resemble JSON and may or may not have schemas. The Server Side Public License (SSPL), which is used to distribute MongoDB and is developed by MongoDB Inc., is viewed as non-free by some distributions.

MongoDB Certification Training Course:
More businesses are using MongoDB development services, the most popular NoSQL database, to handle their increasing data storage and handling demands. The MongoDB certification course equips you with the skills required to become a MongoDB Developer. The MongoDB certification course makes you job-ready by helping you master data modeling, ingestion, query, sharding, and data replication with MongoDB, along with installing, updating, and maintaining the MongoDB environment. You will also gain proficiency in MongoDB configuration, backup methods, monitoring, and operational strategies.

Key Features:
✅ 49 hours of Applied Learning
✅3 industry-based projects in e-learning and telecom domains
✅6 hands-on lab exercises to be executed in a virtual machine
✅60 demos explaining key concepts

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