Who is this course designed for?

This course is aimed at IT professionals, database administrators, software developers, data analysts, and students. It covers MongoDB integration, management, and real-world applications, catering to those seeking to learn about NoSQL databases, their administration, and their role in data infrastructure.

Is there a certificate provided after course completion?

Yes, learners receive a Coursera certificate that can be shared on LinkedIn and resumes.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Data Wrangling with MongoDB

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Data Wrangling with MongoDB

Instructor: Edureka

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Understand MongoDB fundamentals including JSON, BSON, collections, and replication.
Perform advanced data wrangling using aggregation pipelines and indexing strategies.
Work with MongoDB in cloud environments and compare NoSQL approaches.
Apply MongoDB for analytics, performance tuning, and real-world business use cases.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

26 assignments

Taught in English

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There are 5 modules in this course

The Data Wrangling with MongoDB course introduces practical techniques for utilizing MongoDB to enhance cost efficiency and improve database performance. Learners will gain insights into how MongoDB is applied across industries, along with a solid understanding of its core concepts, data modeling strategies, and best practices for managing unstructured data effectively.

By the end of this program, you will be equipped to: - Interpreting the core concepts and principles of NoSQL databases and MongoDB, including data modelling, document structure, and data manipulation. - Design and implement efficient and scalable MongoDB database schemas that meet specific application requirements. - Create and manage indexes to improve query performance and optimize database operations. - Manage MongoDB databases effectively, including backup and restoration, monitoring, and troubleshooting common issues. This course is tailored for Beginners, Database Administrators, Software Developers, IT Professionals, Data Engineers, Data Analysts, Product Managers, and anyone interested in enhancing their MongoDB and database management skills. Prior knowledge of databases and basic programming skills are helpful for this course. Embark on an educational journey with MongoDB, unlocking the secrets of database management and sharpening your expertise.

The course starts with an overview of databases and MongoDB's architecture. Following modules cover installation, data modeling, CRUD operations, indexing, performance optimization, security, backup, NoSQL concepts, and real-world applications. Each module fosters hands-on, preparing participants for MongoDB implementation in various contexts.

What's included

23 videos6 readings5 assignments4 discussion prompts

23 videos Total 127 minutes

Course Introduction 6 minutes
Overview of Databases 4 minutes
SQL versus NoSQL: Key Differences 6 minutes
SQL Syntax in Databases 7 minutes
SQL Commands - I 7 minutes
SQL Commands - II 5 minutes
Significance of MongoDB 4 minutes
MongoDB Data Model - I 7 minutes
MongoDB Data Model - II 4 minutes
CRUD Operations in MongoDB 6 minutes
Learn to Design Schema in MongoDB 5 minutes
Document Structure and Nesting - I 6 minutes
When to Use Nesting? 2 minutes
Document Structure and Nesting - II 5 minutes
Handling Data Consistency and Redundancy 6 minutes
Query Performance with Indexing 6 minutes
Filtering Documents Using MQL - I 3 minutes
Filtering Documents Using MQL - II 6 minutes
MongoDB Sorting and Limiting 5 minutes
Update Operation on MongoDB 7 minutes
Deletion Operation on MongoDB 7 minutes
Data Manipulation Using Aggregation 7 minutes
Geospatial Data and Indexing 7 minutes

6 readings Total 60 minutes

Data Wrangling with MongoDB: Getting Started 10 minutes
Introduction to Databases 10 minutes
Installation of MongoDB (Windows, Linux, MacOS) 10 minutes
Design Schema 10 minutes
Query Performance 10 minutes
Exploring the Fundamentals of MongoDB 10 minutes

5 assignments Total 50 minutes

Knowledge Check: Introduction to Databases 5 minutes
Knowledge Check: Fundamentals of MongoDB 5 minutes
Knowledge Check: Data Modeling in MongoDB 5 minutes
Knowledge Check: Querying in MongoDB 5 minutes
End Module Quiz: Getting Started with Databases: Exploring the Fundamentals of MongoDB 30 minutes

4 discussion prompts Total 20 minutes

Database Applications 5 minutes
CRUD Operations 5 minutes
Data Redundancy 5 minutes
Geospatial Operators 5 minutes

This module hones skills crucial for adept data handling and replication in MongoDB. Participants delve into MongoDB fundamentals, mastering data cleaning, modeling, and optimization. Emphasis is on real-world applications, ensuring a comprehensive understanding of MongoDB's versatile capabilities for efficient database management in diverse scenarios.

What's included

33 videos7 readings7 assignments6 discussion prompts

33 videos Total 156 minutes

Importing Data into MongoDB - I 7 minutes
Importing Data into MongoDB - II 1 minute
Export Data to Various Formats - I 7 minutes
Export Data to Various Formats - II 2 minutes
Data Migration and Backups 5 minutes
Managing Inconsistent and Redundant Data 6 minutes
Data Sorting and Filtering - I 3 minutes
Data Sorting and Filtering - II 3 minutes
Data Type Conversions and Inconsistencies - I 4 minutes
Data Type Conversions and Inconsistencies - II 4 minutes
Data Transformation with Aggregation Pipelines - I 7 minutes
Data Transformation with Aggregation Pipelines - II 4 minutes
Data Analysis 6 minutes
Adopt MongoDB Security Best Practices 7 minutes
Set Up Authentication and Authorization 7 minutes
Security against Common Threats 4 minutes
Analyze and Improve Query Performance - I 5 minutes
Analyze and Improve Query Performance - II 2 minutes
Analyze and Improve Query Performance - III 6 minutes
Optimize Indexing Strategies - I 7 minutes
Optimize Indexing Strategies - II 5 minutes
MongoDB Profiler and Performance Advisor - I 5 minutes
MongoDB Profiler and Performance Advisor - II 3 minutes
Exemplifying MongoDB Replication Concepts - I 3 minutes
Exemplifying MongoDB Replication Concepts - II 5 minutes
Configuring and Managing Replica Sets - I 7 minutes
Configuring and Managing Replica Sets - II 4 minutes
Ensure High Availability and Fault Tolerance - I 6 minutes
Ensure High Availability and Fault Tolerance - II 3 minutes
Backup and Recovery Strategies 4 minutes
Toolset for Backup and Restoration - I 6 minutes
Toolset for Backup and Restoration - II 3 minutes
Disaster Recovery Management 5 minutes

7 readings Total 70 minutes

Data Import and Export 10 minutes
Inconsistent and Redundant Data 10 minutes
Security in MongoDB 10 minutes
MongoDB Performance Optimization 10 minutes
MongoDB Replication and High Availability 10 minutes
MongoDB Tools for Backup and Recovery 10 minutes
Data Wrangling and Replication with MongoDB 10 minutes

7 assignments Total 60 minutes

Knowledge Check: Data Import and Export 5 minutes
Knowledge Check: Data Wrangling and Transformation 5 minutes
Knowledge Check: Security in MongoDB 5 minutes
Knowledge Quiz: MongoDB Performance Optimization 5 minutes
Knowledge Quiz: High Availability and Replication 5 minutes
Knowledge Quiz: MongoDB Tools for Backup and Recovery 5 minutes
End Module Quiz: Data Wrangling and Replication with MongoDB 30 minutes

6 discussion prompts Total 30 minutes

Data Importing Techniques 5 minutes
Data Transformation 5 minutes
Third-party Security Tools 5 minutes
MongoDB Database 5 minutes
Scaling and High Availability 5 minutes
Backup and Restoration Process 5 minutes

This module, titled "Deep Dive in MongoDB - I," sharpens participants' skills in nuanced data management and MongoDB operations. Covering fundamental MongoDB principles, it delves into indexing, performance optimization, and complex querying, providing a comprehensive understanding of MongoDB's capabilities for effective database handling.

What's included

22 videos5 readings5 assignments4 discussion prompts

22 videos Total 116 minutes

Introduction to MongoDB Sharding - I 6 minutes
Introduction to MongoDB Sharding - II 7 minutes
Why Sharding? 6 minutes
Benefits and Advantages of Sharding 6 minutes
Configure and Manage Sharded Clusters 6 minutes
Hands-on: Configure and Manage Sharded Clusters 4 minutes
Shard Keys and Data Distribution 7 minutes
MongoDB Atlas: Cloud-Based Service Installation 7 minutes
Cloud Deployment and Management in MongoDB - Part I 5 minutes
Cloud Deployment and Management in MongoDB - Part II 5 minutes
Explore MongoDB Cloud Product 6 minutes
Setting up Monitoring Tools 7 minutes
Hands-on: Setting up the Monitoring Tools 2 minutes
Analyze Performance Metrics 5 minutes
Hands-on: Analyze Performance in MongoDB Compass 4 minutes
Troubleshoot Common MongoDB Issues - Part I 5 minutes
Troubleshoot Common MongoDB Issues - Part II 3 minutes
Load Balancing in MongoDB 6 minutes
Caching Strategies in MongoDB - I 4 minutes
Caching Strategies in MongoDB - II 4 minutes
Managing Servers in MongoDB 5 minutes
Infrastructure as a Service (IaaS) 5 minutes

5 readings Total 50 minutes

Sharding in MongoDB 10 minutes
Setup Guide for MongoDB Atlas 10 minutes
Monitoring Tools 10 minutes
Scaling and Load Balancing 10 minutes
Deep Dive in MongoDB - I 10 minutes

5 assignments Total 50 minutes

Knowledge Check: Overview of Sharding in MongoDB 5 minutes
Knowledge Check: MongoDB Atlas and Cloud Deployment 5 minutes
Knowledge Check: Monitoring and Troubleshooting Issues in MongoDB 5 minutes
Knowledge Quiz: Aspects of Scaling MongoDB 5 minutes
End Module Quiz: Deep Dive in MongoDB - I 30 minutes

4 discussion prompts Total 45 minutes

Backup and Recovery for MongoDB 5 minutes
Database using MongoDB Atlas 10 minutes
MongoDB Monitoring Tools 20 minutes
Horizontal Scaling in MongoDB 10 minutes

This module extends the exploration of MongoDB, focusing on advanced concepts in data management. Topics include intricate querying, indexing, and performance optimization, providing participants with a thorough grasp of MongoDB's capabilities for effective and nuanced database operations.

What's included

15 videos5 readings5 assignments4 discussion prompts

15 videos Total 78 minutes

Data Governance Policies in MongoDB 5 minutes
General Data Protection Regulations (GDPR) - Part I 3 minutes
General Data Protection Regulations (GDPR) - Part II 4 minutes
Handling Sensitive Data 6 minutes
Dive Deeper into Query Optimization Techniques 7 minutes
Query Hints and Planner - Part I 7 minutes
Query Hints and Planner - Part II 3 minutes
Optimize Query Performance Analysis 5 minutes
Advanced Aggregation Operations 7 minutes
Custom Functions and Expressions 5 minutes
Hand-on: Custom Functions and Expressions 4 minutes
Data Transformation 6 minutes
Work with Time Series Data 6 minutes
Time Series Collections and Indexing 5 minutes
Perform Time-Based Analytics 5 minutes

5 readings Total 50 minutes

Data Governance 10 minutes
Query Optimization 10 minutes
Aggregation Framework 10 minutes
Time Series Data in MongoDB 10 minutes
Advanced Aggregation Operations 10 minutes

5 assignments Total 50 minutes

Knowledge Quiz: Data Governance and Compliance in MongoDB 5 minutes
Knowledge Quiz: Advanced Query Optimization 5 minutes
Knowledge Quiz: Advanced Aggregation Framework 5 minutes
Knowledge Quiz: Time Series Data in MongoDB 5 minutes
End Module Quiz: Deep Dive in MongoDB - II 30 minutes

4 discussion prompts Total 40 minutes

Data Security 10 minutes
Query Optimization 10 minutes
Advanced Aggregation 10 minutes
Time Series Data 10 minutes

This module immerses participants in the realm of data analytics using MongoDB, covering essential topics for effective database operations. Emphasizing techniques such as data modeling, aggregation, and query optimization, it equips learners with skills to harness MongoDB's capabilities for insightful data analysis and decision-making.

What's included

6 videos5 readings4 assignments2 discussion prompts

6 videos Total 30 minutes

Real-Time Ingestion and Processing 4 minutes
Data Monitoring with Change Streams 5 minutes
Building Real-Time Applications 6 minutes
Visualize Data with Visualization Tools 4 minutes
Generate Interactive Reports and Dashboards 7 minutes
Communicate Insights from MongoDB Data Effectively 5 minutes

5 readings Total 90 minutes

Data Processing with MongoDB 10 minutes
Connect MongoDB to Data Visualization Tools 10 minutes
Data Analytics with MongoDB 10 minutes
End Project: Sample E-Commerce System with MongoDB 30 minutes
Practice Project: Transforming Raw Data into Business Insights 30 minutes

4 assignments Total 90 minutes

Knowledge Check: Data Processing with MongoDB 5 minutes
Knowledge Check: Connect MongoDB to Data Visualization Tools 5 minutes
End Module Quiz: Data Analytics with MongoDB 30 minutes
End Course Knowledge Check: Data Wrangling with MongoDB 50 minutes

2 discussion prompts Total 20 minutes

Data Processing Pipelines 10 minutes
Data Visualization Tools 10 minutes

Instructor

Edureka

151 Courses 141,028 learners

Offered by

Edureka

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Frequently asked questions

MongoDB is a powerful, open-source NoSQL database, renowned for its flexibility, scalability, and performance. It uses a document-oriented data model and stores data in JSON-like documents, offering a dynamic schema. This makes it particularly suitable for handling large volumes of diverse and complex data, making it a popular choice for modern web applications, big data solutions, and more.

To start with MongoDB, first download it from the official website. Installation is straightforward, with guides available for various operating systems. Once installed, explore MongoDB's extensive documentation and tutorials. A great way to begin is by experimenting with basic commands in the MongoDB shell and creating simple applications to understand its data handling capabilities.

MongoDB is available in a free Community Edition, which is ideal for development and small-scale applications. For larger, commercial projects, MongoDB offers a paid Enterprise version with additional features and support. Additionally, MongoDB Atlas, the cloud-based database service, offers a free tier suitable for small applications, with scalable paid options for more significant needs.

Pursuing a career in MongoDB administration can be highly rewarding. As businesses increasingly adopt MongoDB for its scalability and flexibility, the demand for skilled database administrators is rising. A career in MongoDB administration involves managing database environments, ensuring performance, security, and availability, which are crucial skills in the IT industry. Continuous learning and certification in MongoDB can lead to diverse opportunities and significant career growth.

This course is designed to span approximately nineteen hours, encompassing a diverse range of learning materials and activities. Throughout this course, learners will engage with various educational resources, including video content on the MongoDB database, reading materials to deepen understanding, graded quizzes to assess comprehension, hands-on projects to apply knowledge in practical scenarios, and thought-provoking discussion prompts to encourage collaborative learning and critical thinking.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.