MongoDB Tutorial for Beginners
This MongoDB Tutorial for Absolute Beginners course provides an introduction to MongoDB and covers topics such as where MongoDB is used, relational vs document databases, MongoDB structure, installation, MongoDB shell and server, MongoDB database in the cloud, JSON overview, data types, creation of collections, insertion of documents, finding documents, query operators, sorting, limiting, skipping, updating documents, deleting documents, aggregation framework, indexes, utilities, replica sets, and drivers. This course is a comprehensive guide for anyone looking to learn the basics of MongoDB. It is well-structured and provides a thorough overview of the topics, making it an excellent resource for beginners. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
This MongoDB Tutorial for Beginners course provides learners with an introduction to the MongoDB database. Learners will learn the basics of MongoDB, including where it is used, the differences between relational and document databases, the structure of MongoDB, how to install and launch MongoDB, and how to use MongoDB Shell and MongoDB Server. Learners will also learn about JSON, BSON, Extended JSON, and how documents are stored in the database. Additionally, learners will learn about MongoDB find, query, sort, limit, skip, update, delete, aggregation, indexes, utilities, replica sets, and drivers. Finally, learners will gain an understanding of the MongoDB Crash Course for Beginners.
[Applications]Upon completion of the MongoDB Tutorial for Beginners, learners will have a comprehensive understanding of MongoDB and its applications. They will be able to install and configure MongoDB on their local computer, connect to the MongoDB server, and explore the MongoDB shell. They will also be able to create collections, insert documents, query documents, update documents, delete documents, and use MongoDB aggregation framework. Additionally, they will be able to use MongoDB indexes and utilities, understand MongoDB replica sets, and use MongoDB drivers. With this knowledge, learners can apply MongoDB to their own projects and use it to store and manage data.
[Recommend Books]MongoDB in Action, Second Edition by Kyle Banker: This book is an in-depth guide to MongoDB, the leading NoSQL database. It covers the fundamentals of MongoDB, including data modeling, indexing, replication, and security. It also covers advanced topics such as sharding, performance tuning, and data visualization. This book is perfect for anyone looking to learn more about MongoDB and how to use it in their applications.
[Career Paths]Three job position paths recommended for learners of this course are:
1. MongoDB Database Administrator: MongoDB Database Administrators are responsible for managing and maintaining MongoDB databases. They are responsible for setting up, configuring, and monitoring MongoDB clusters, as well as ensuring the security and performance of the databases. They also need to be able to troubleshoot any issues that arise. This role is becoming increasingly important as more organizations are adopting MongoDB as their primary database.
2. MongoDB Developer: MongoDB Developers are responsible for designing and developing applications that use MongoDB. They need to be familiar with MongoDB’s query language, as well as its data modeling and indexing capabilities. They also need to be able to optimize MongoDB queries for performance. This role is becoming increasingly important as more organizations are adopting MongoDB as their primary database.
3. MongoDB Consultant: MongoDB Consultants are responsible for providing advice and guidance to organizations on how to best use MongoDB. They need to be familiar with MongoDB’s features and capabilities, as well as its data modeling and indexing capabilities. They also need to be able to provide advice on how to optimize MongoDB queries for performance. This role is becoming increasingly important as more organizations are adopting MongoDB as their primary database.
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