MongoDB Roadmap By Scholarhat PDF

Mongo

ROADMAP FOR BEGINNERS

2024 EDITION

1 What is NoSQL?

NoSQL databases are non-tabular data storage with flexible schemas.

Document, key-value, wide-column, & graph databases are some examples. Scalable to manage high data quantities and user traffic. Store data differently than relational tables, allowing for a variety of data models. Provide flexibility and scalability to meet a variety of data storage demands.

Introduction to MongoDB 2

MongoDB is an open-source NoSQL DBMS that replaces relational databases.

Suitable for handling huge, dispersed datasets. Allows organizations to store large amounts of data easily.

Supports ad-hoc queries, indexing, load balancing, and aggregation.

Supports server-side JavaScript execution. Effectively manages, stores, and retrieves documentrelated data.

3 When to use MongoDB?

MongoDB is a flexible database used in a variety of sectors.

Addresses data management and software development issues.

Multi-data source integration provides complete insights. Supports complicated data structures such as geographic data.

Scalable architecture for high-performance apps and multi-cloud deployments.

Developer control facilitates rapid development and cooperation.

MongoDB's approach enables flexible data structure evolution.

4 Why learn MongoDB?

Flexibility: Stores data in documents that can change over time, great for evolving data structures.

Scalability: Easily handles large datasets and high traffic applications.

Speed: Efficient for querying and working with data.

Cloud-friendly: Integrates well with cloud platforms for easy deployment.

Large community: Extensive support and resources available.

Following organization are using MongoDB:

5 MongoDB Atlas

MongoDB Atlas is a fully managed cloud database service.

It is built on MongoDB, a popular NoSQL database

MongoDB Atlas enables global app deployment on AWS, Azure, and GCP.

Reduced deployment, management, & recovery.

Allows users to easily scale their database resources up or down based on demand, without downtime.

Offers robust security features.

6 Setting up MongoDB

Installation: Download MongoDB and follow the OS instructions.

Configuration: Customise options in mongod.conf file.

Start MongoDB: Launch MongoDB with the mongod command.

Client Tools: Use MongoDB Shell (mongo) & Compass.

Data Import/Export: Use mongoimport to import and mongoexport to export.

7 MongoDB Shell

Install MongoDB and set up the MongoDB Shell.

Learn to execute basic commands in mongosh.

Start with database creation, inserting documents, and querying data.

MongoDB’s CRUD Operations documentation is an excellent resource.

As you become more comfortable, explore more commands and operations such as indexing, aggregation, and data management strategies.

8 Database Skills

Know data models, schemas, and independence concepts. Understand the relational and entity-relationship models.

Learn normalization, joins, and distinctions between SQL and NoSQL. Discover indexing, hashing, and transactional notions. Look into transaction and concurrency management. Explore advanced subjects such as distributed databases and scalability.

9 Database Design & Tools

Discover Moon Modeller for ER modeling.

Learn how to use DBeaver for administration and SQL queries.

Make use of Adminer for simple database management.

Use Aqua Data Studio to create ER models.

Look for DbSchema for visual design and SQL generation.

Explore ER/Studio for enterprise-level modeling.

Learn Hackolade for creating NoSQL schemas in MongoDB.

10 Database Drivers

For direct contact, use the MongoDB Native Driver in Node.js, Python, or Java.

Use Mongoose for schema, model, and CRUD in Node.js.

Explore Mongoskin, which simplifies MongoDB interaction with Node.js.

Learn MongoJS for the JavaScript-friendly MongoDB API in Node.js.

11 GUI Client Tools

Explore NoSQL Booster for MongoDB GUI across Windows, macOS, and Linux.

Learn Studio 3T, an all-in-one MongoDB GUI and IDE.

Understand Robo 3T, a lightweight MongoDB GUI tool.

Explore MongoDB Compass for query design and analysis.

Learn Mongo Management Studio for comprehensive administration.

Utilize MongoDB Monitoring Tool for real-time analytics.

Discover NoSQL Manager for advanced database administration.

12 MongoDB Core Concepts

Learn about database foundations, CRUD operations, and data modeling.

Understand aggregation, transactional concepts, and index use.

Know replication, sharding, & storage techniques.

Master operators, security procedures, and document manipulation.

Discover complex subjects such as data aggregation & security.

Learn about transactional integrity and working with documents.

13 MongoDB Hosting

Understand how to deploy and manage MongoDB.

Learn about cloud installation, configuration, & monitoring.

Host on AWS, Digital Ocean, & Azure. Explore EC2, Droplets, and VM deployment with networking and security.

Know the following managed hosting services: MongoDB Atlas, mLab, Clever Cloud, Compose, and ObjectRocket.

14 JSON

Learn MongoDB's JSON document representation.

Understand how to manipulate MongoDB documents with JSON.

Study JSON and MongoDB data formats.

Understand MongoDB document structure in JSON.

Explore nested documents and arrays in MongoDB.

Learn to query MongoDB collections using JSON-like syntax.

Understand how to serialise MongoDB documents into JSON.

Study combining MongoDB with JSON applications.

15 BSON

Understand BSON, MongoDB's binary serialization format.

Explore the standard and special BSON data types.

Learn how BSON corresponds to JSON and how it is represented in binary.

Understand BSON document structure: field names, types, and values.

Study BSON's efficiency in data storage.

Look into MongoDB procedures with BSON data.

16 Mongoose

Mongoose uses Node.js and MongoDB ODM for data modeling.

Look into Mongoose for MongoDB connectivity benefits.

Learn how to build models for MongoDB document operations.

Understand Mongoose Schema Types for MongoDB modeling.

Understand the CRUD Operations.

17 Real-Time Projects

Content Management System (CMS): Build a system to manage website content (text, images) using MongoDB's document structure.

Product Catalog Management: Develop a system for storing and managing product information in an online store.

Social Media Platform: Create a platform for users to connect, share posts, and interact.

Real-time Analytics Dashboard: Design a dashboard that displays stock prices or website traffic.

Location-based App: Build an app that uses geospatial data, like a restaurant finder or ride-hailing service.

MongoDB Tutorial For Beginners

ScholarHat offers concise, insightful MongoDB articles. Dive into this with clear explanations and practical examples, perfect for enhancing your skills.

What is MongoDB and Why to use it?

MongoDB Installation and Configurations

Mongo Shell Commonly Used Commands and Methods

Creating and Querying Mongo Database

MongoDB Comparison Operators

Top 50 MongoDB Interview Questions and Answers

How to become MERN Stack Developer?

How to follow this roadmap?

At ScholarHat, we believe mastering a technology is a three-step process as mentioned below:

Step1 - Learn Skills: You can learn MongoDB skill by using Microsoft official docs on MongoDB, or through Videos on YouTube or Videos based courses. For topic revision and recalling make short notes. You can also learn Live from Microsoft MVP at ScholarHat.

Step2 - Build Experience: You can build hands-on experience by building end-to-end real world applications like Social Media Platform, Stock Price Monitoring, Fraud Detection etc.

Step3 - Empower Yourself: Build your strong profile by mentioning all the above skills with hands-on experience on projects. Prepare yourself with interview Q&A about MongoDB to crack your next job interview.

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