MongoDB Course
- Master MongoDB Development for Web & Mobile Apps
- CRUD Operations
- Indexes
- Aggregation Framework – All about MongoDB
Training Format
Online Training / Classroom
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20000+ Professional Trained | 500+ Batches
100% Practical MongoDB Training in Jaipur With Certification & Placement Assistance
Description
Join this bestselling MongoDB course to learn all about this extremely popular database and query language from the ground up, in great detail and with many practical examples!
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MongoDB is one of the most important NoSQL databases you can work with. It’s extremely popular and MongoDB developers are in high demand!
No matter if you’re building web applications, mobile applications or any other kind of application or if you’re a data scientist – you’ll need to work with data. Storing data, querying it efficiently and minimizing complexities whilst optimizing performance are crucial tasks.
MongoDB makes working with data simple – it’s built on a philosophy that prioritizes performance and efficiency.
In this course, you learn all about MongoDB from scratch. No prior MongoDB or database experience is required!
In detail, you’ll learn:
How to install and use MongoDB locally and in the cloud (MongoDB Atlas)
How to perform CRUD (Create, Read, Update, Delete) operations on MongoDB databases
How to filter for data efficiently
How to work with both the Mongo Shell and drivers (e.g. Node.js driver)
How to increase performance by using indexes (and how to use the right indexes!)
How to use the amazing “Aggregation Framework” that’s built into MongoDB
What replica sets and sharding are
How to use MongoDB Atlas – the cloud solution offered by MongoDB
How to use the serverless platform (Stitch) offered by MongoDB
And much more!
This course is a hands-on course – you’ll learn by writing code/ commands. We’ll work on a wide variety of example data and use-cases and by the end of the course, you’ll have all the knowledge you need to work with MongoDB in your next project!
This course is for you, no matter which programming language you plan on using, you’ll learn a uniform way of interacting with MongoDB that can be easily applied to any language.
This course is for you:
if you’re brand-new to MongoDB and databases in general
if you got some basic database or even MongoDB experience – in this course, there are different entry points you can choose from!
if you are a web or mobile app (or desktop app) developer who considers using MongoDB
if you’re working in a team that considers using MongoDB (or already does use it)
if you are primarily using SQL-based databases so far and you want to explore the most popular NoSQL alternative
This course is NOT for you:
if you’re looking for a guide on administrating MongoDB servers => This course focuses on the commands/ queries you write, it’s NOT an administration course. I will show (in detail) how to deploy a ready-to-use cloud MongoDB solution that follows best practices though.
Who this course is for:
- Developers or data scientists who plan on (or are already) working with MongoDB
- Everyone who’s interested in NoSQL databases
- Both beginner and advanced MongoDB users who want to explore all the core features
- Introduction
- What is MongoDB?
- Join our Online Learning Community
- The Key MongoDB Characteristics (and how they differ from SQL Databases)
- Understanding the MongoDB Ecosystem
- General Setup Instructions & Installing MongoDB on macOS
- Installing MongoDB on Windows
- Installing the MongoDB Shell
- Installing mongoimport
- Time To Get Started!
- Shell vs Drivers
- MongoDB + Clients: The Big Picture
- Course Outline
- How To Get The Most Out Of The Course
- Module Introduction
- Understanding Databases, Collections & Documents
- The Shell & MongoDB Drivers for Different Languages
- Creating Databases & Collections
- Understanding JSON Data
- Comparing JSON & BSON
- Create, Read, Update, Delete (CRUD) & MongoDB
- Finding, Inserting, Deleting & Updating Elements
- Understanding “insertMany()”
- Diving Deeper Into Finding Data
- “update” vs “updateMany()”
- Understanding “find()” & the Cursor Object
- Understanding Projection
- Embedded Documents & Arrays – The Theory
- Working with Embedded Documents
- Working with Arrays
- Accessing Structured Data
- Time to Practice – The Basics & CRUD Operations
- Wrap Up
- Useful Resources & Links
- Resetting Your Database
- Module Introduction
- Why Do We Use Schemas?
- Structuring Documents
- Data Types – An Overview
- Data Types in Action
- Data Types & Limits
- How to Derive your Data Structure – Requirements
- Understanding Relations
- One To One Relations – Embedded
- One To One – Using References
- One To Many – Embedded
- One To Many – Using References
- Many To Many – Embedded
- Many To Many – Using References
- Summarizing Relations
- Using “lookUp()” for Merging Reference Relations
- Planning the Example Exercise
- Implementing the Example Exercise
- Understanding Schema Validation
- Adding Collection Document Validation
- Changing the Validation Action
- Wrap Up
- Useful Resources & Links
- Module Introduction
- Finding Available Options
- Setting “dbpath” & “logpath”
- Exploring the MongoDB Options
- MongoDB as a Background Service
- Using a Config File
- Shell Options & Help
- Useful Resources & Links
- Module Introduction
- Exploring the MongoDB Compass
- Useful Resources & Links
- Module Introduction
- Creating Documents – An Overview
- Understanding “insert()” Methods
- Working with Ordered Inserts
- Understanding the “writeConcern”
- The “writeConcern” in Practice
- What is Atomicity?
- Time to Practice – Create Operations
- Importing Data
- Wrap Up
- Useful Resources & Links
- Module Introduction
- Methods, Filters & Operators
- Operators – An Overview
- Query Selectors & Projection Operators
- Understanding “findOne()” & “find()”
- Working with Comparison Operators
- Querying Embedded Fields & Arrays
- Understanding “$in” and “$nin”
- “$or” and “$nor”
- Understanding the “$and” Operator
- Using “$not”
- Diving Into Element Operators
- Working with “$type”
- Understanding Evaluation Operators – “$regex”
- Understanding Evaluation Operators – “$expr”
- Time to Practice – Read Operations
- Diving Deeper Into Querying Arrays
- Using Array Query Selectors – “$size”
- Using Array Query Selectors – “$all”
- Using Array Query Selectors – “$elemMatch”
- Time to Practice – Array Query Selectors
- Understanding Cursors
- Applying Cursors
- Sorting Cursor Results
- Skipping & Limiting Cursor Results
- Using Projection to Shape our Results
- Using Projection in Arrays
- Understanding “$slice”
- Useful Resources & Links
- Module Introduction
- Updating Fields with “updateOne()”, “updateMany()” and “$set”
- Updating Multiple Fields with “$set”
- Incrementing & Decrementing Values
- Using “$min”, “$max” and “$mul”
- Getting Rid of Fields
- Renaming Fields
- Understanding “upsert()”
- Time to Practice – Update Operations
- Updating Matched Array Elements
- Updating All Array Elements
- Finding & Updating Specific Fields
- Adding Elements to Arrays
- Removing Elements from Arrays
- Understanding “$addToSet”
- Wrap Up
- Useful Resources & Links
- Module Introduction
- Understanding “deleteOne()” & “deleteMany()”
- Deleting All Entries in a Collection
- Useful Resources & Links
- Module Introduction
- What Are Indexes & Why Do We Use Them?
- Adding a Single Field Index
- Indexes Behind the Scenes
- Understanding Index Restrictions
- Creating Compound Indexes
- Using Indexes for Sorting
- Understanding the Default Index
- Configuring Indexes
- Understanding Partial Filters
- Applying the Partial Index
- Understanding the Time-To-Live (TTL) Index
- Query Diagnosis & Query Planning
- Understanding Covered Queries
- How MongoDB Rejects a Plan
- Using Multi-Key Indexes
- Understanding Text Indexes
- Text Indexes & Sorting
- Creating Combined Text Indexes
- Using Text Indexes to Exclude Words
- Setting the Default Language & Using Weights
- Building Indexes
- Wrap Up
- Useful Resources & Links
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Program Features
Duration: 60 Days
Effort: 72 Hours of Learning
Subject: MongoDB
Level: Professional
Language: English, Hindi
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