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For the students who are interested in NoSQL databases and MongoDB, Summer Internship on MongoDB in Kolkata certification course is a wonderful opportunity. Get enrolled in this course to take your skillset to a new height. You will learn how to model, ingest, query, replicate, and share data under this MongoDB training course. Besides learning MongoDB configuration and backup methods, you will also learn how to monitor and operate it. A 45-hour course is included in this comprehensive internship. Explore the course under the guidance of industry experts. Our goal is to help students in achieving their dreams.
We provide MongoDB training to help learners learn the major features of MongoDB so they can develop error-free applications. Our MongoDB online course starts with a hands-on exercise on installation and administration and then shows you how to configure the database to communicate with your IDE or programming language. Euphoria GenX summer internship on MongoDB includes:
Learn how to develop MongoDB-based applications
Complete design of a MongoDB database
Developing applications using MongoDB
Examining the key attributes and advantages of MongoDB over RDBMS databases
Analyzing the differences between RDBMSs and NoSQLs
Developing and running applications
Therefore, choose the right platform to make your career bright.

Curriculum

19 Sections
0 Lessons
45 Hours

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Module 1: Introduction
- What is MongoDB?
- Characteristics of MongoDB
- Understanding the MongoDB Ecosystem
- General Setup Instruction and Installing MongoDB
- Installing MongoDB Shell
- Shell vs Drivers
Module 2: Understanding the Basic & CRUD Operations
- Understanding Database
- Collections and Documents
- The Shell and 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
Module 3: Schemas and Relations
- 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
Module 4: Exploring The Shell and The Server
- Finding Available Options
- Settings “dbpath” and “logpath”
- Exploring the MongoDB Options
- MongoDB as a Background Service
- Using a Config File
- Shell Options & Help
Module 5: Using the MongoDB Compass to Explore Data Visually
- Exploring the MongoDB Compass
Module 6: Diving Into Create Operations
- Creating Documents - An Overview
- Understanding "insert()" Methods
- Working with Ordered Inserts
- Understanding the "writeConcern"
- The "writeConcern" in Practice
- What is Atomicity?
- Importing Data
- Wrap Up
Module 7: Read Operations - A Closer Look
- 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 - "$expr"
- Diving Deeper Into Querying Arrays
- Using Array Query Selectors - "$size"
- Using Array Query Selectors - "$all"
- Using Array Query Selectors - "$elemMatch"
- Understanding Cursors, Applying Cursors
- Sorting Cursor Results
- Skipping & Limiting Cursor Results
- Using Projection to Shape our Results
- Using Projection in Arrays
- Understanding "$slice"
Module 8: Update Operations
- Updating Fields with "updateOne()"
- "updateMany()" and "$set"
- Updating Multiple Fields with "$set"
- Incrementing & Decrementing Values
- Using "$min"
- "$max" and "$mul"
- Getting Rid of Fields
- Renaming Fields
- Understanding "upsert()"
- Updating Matched Array Elements
- Updating All Array Elements
- Finding & Updating Specific Fields
- Adding Elements to Arrays
- Removing Elements from Arrays
- Understanding "$addToSet"
Module 9: Delete Operations
- Understanding "deleteOne()"&"deleteMany()"
- Deleting All Entries in a Collection
Module 10: Working with Index
- What Are Indexes & Why Do We Use Them?
- Adding a Single Field Index
- 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
Module 11: Working with Geospatial Data
- Adding GeoJSON Data
- Running Geo Queries
- Adding a Geospatial Index to Track the Distance
- Adding Additional Locations
- Finding Places Inside a Certain Area
- Finding Out If a User Is Inside a Specific Area
- Finding Places Within a Certain Radius
Module 12: Understanding the Aggregation Framework
- What is the Aggregation Framework?
- Getting Started with the Aggregation Pipeline
- Using the Aggregation Framework
- Understanding the Group Stage
- Diving Deeper Into the Group Stage
- Working with $project
- Turning the Location Into a geoJSON Object
- Transforming the Birthdate
- Using Shortcuts for Transformations
- Understanding the $isoWeekYear Operator
- $group vs $project
- Pushing Elements Into Newly Created Arrays
- Understanding the $unwind Stage
- Eliminating Duplicate Values
- Using Projection with Arrays
- Getting the Length of an Array
- Using the $filter Operator
- Applying Multiple Operations to our Array
- Understanding $bucket
- Diving Into Additional Stages
- Writing Pipeline Results Into a New Collection
- Working with the $geoNear Stage
Module 13: Understanding the Aggregation Framework
- Module Introduction
- Number Types - An Overview
- Understanding Programming Language Defaults
- Working with int32
- Working with int64
- Doing Maths with Floats int32s & int64s
- What's Wrong with Normal Doubles?
- Working with Decimal 128bit
Module 14: MongoDB & Security
- Understanding Role Based Access Control
- Roles – Examples, Creating a User
- Built-In Roles - An Overview
- Assigning Roles to Users & Databases
- Updating & Extending Roles to Other Databases
- Adding SSL Transport Encryption
- Encryption at REST
Module 15: Performance, Fault Tolerancy and Deployment
- What Influences Performance?
- Understanding Capped Collections
- What are Replica Sets?
- Understanding Sharding
- Deploying a MongoDB Server
- Using MongoDB Atlas
- Backups & Setting Alerts in MongoDB Atlas
- Connecting to our Cluster
Module 16: Transaction
- What are Transactions?
- A Typical Usecase
- How Does a Transaction Work?
Module 17: From Shell to Driver
- Splitting Work Between the Driver & the Shell
- Preparing our Project
- Installing Visual Studio Code
- Installing the Node.js Driver
- Connecting Node.js & the MongoDB Cluster
- Storing Products in the Database
- Storing the Price as 128bit Decimal
- Fetching Data From the Database
- Creating a More Realistic Setup
- Getting a Single Product
- Editing & Deleting Products
- Implementing Pagination
- Adding an Index
- Signing Users Up
- Adding an Index to Make the Email Unique
- Adding User Sign In
Module 18: Introducing Stitch
- What is Stitch?
- Preparations
- Start Using Stitch
- Adding Stitch to our App & Initializing It
- Adding Authentication
- Sending Data Access Rules
- Fetching & Converting Data
- Deleting Products
- Finding a Single Product
- Adding Products
- Updating Products
- Switching to User Email & Password Authentication
- Adding User Sign Up & Confirmation
- Adding User Login
- Rules & Real Users
- Functions & Triggers
Module 18: Project Work and Documentation

Instructor

18 Students

32 Courses

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₹4,999.00₹3,599.00

Student:

598 Students

Lesson:

0 Lessons

Duration: 45 Hours

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0 Quizzes

Level: All levels

Frequently Asked Questions

1

Do I need to know SQL to learn MongoDB?

SQL is a language to access relational databases but MongoDB is a non-relational database. It depends upon your knowledge of programming or database. If you are experienced with the database you can learn MongoDB quickly and if not then you have to understand SQL first. Of course, MongoDB is a document-oriented database which is classified under no SQL.

2

Is Python required for MongoDB?

Python requires a MongoDB driver to access the database of Mongo DB. The MongoDB system is designed to be horizontally scalable, and geographically distributed.

3

Does MongoDB need coding?

Yes, C, C# and .NET are just some of the programming languages supported by MongoDB. Several programming languages, including. NET, C++, Erlang, Haskell, Java, Javascript, Perl, PHP, Python, Ruby, and Scala.

4

Should I use MongoDB or SQL?

Among the most popular and fiercely competitive online database vendors are MySQL and MongoDB. The two systems are database management systems, which help you collect data from websites or applications and provide reports. MongoDB is a document-based system, unlike MySQL, which is a dated table-structured system. You must use any according to your requirements.

5

Is it better to learn MongoDB or SQL?

It is recommended to learn SQL first because you will understand the basic nature of data modeling. After learning SQL you can learn MongoDB and both are necessary to learn.

6

Is MongoDB still in demand?

An important feature of MongoDB is its document-oriented architecture. There are many types of document stores on the market, but this one is the most popular. Hence, MongoDB is still in demand.

7

Is MongoDB easier than SQL?

There are many advantages to using MongoDB over MySQL. MYSQL is more complicated than MongoDB. In MongoDB, instead of tables, you have a collection of JSON objects. As schemas do not need to be defined beforehand, users with minimal technical knowledge can immediately begin storing data.

8

Is MongoDB enough to get a job?

The course of MongoDB plays a vital role in enhancing your role and boosting your career in terms of salary or post.

9

What is the lowest salary at MongoDB?

The average salary of MongoDB is ₹6.0 Lakhs per year.

10

Where should I learn MongoDB?

You must learn MongoDB at Euphoria Genx. Here, the course is specially designed with hours of duration.

11

What is the best course to learn MongoDB?

The best course of MongoDB training in Kolkata 2023 is available in Euphoria Genx.

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