Data Wrangling with MongoDB
- Offered byCoursera
Data Wrangling with MongoDB at Coursera Overview
Duration | 21 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Data Wrangling with MongoDB at Coursera Highlights
- Earn a certificate from Edureka
- Add to your LinkedIn profile
- 26 quizzes
Data Wrangling with MongoDB at Coursera Course details
- What you'll learn
- Working with MongoDB database fundamentals, replication, fault tolerance, data visualization techniques, and optimizing database performance.
- Embark on the "Data Wrangling with MongoDB" course journey, designed to introduce you to the effective methods of MongoDB for improved cost-efficiency and optimal database performance.
- Throughout this course, you'll dive into MongoDB's specific applications in various industries and understand its fundamental concepts and best practices. 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.
Data Wrangling with MongoDB at Coursera Curriculum
Getting Started with Databases: Exploring the Fundamentals of MongoDB
Course Introduction
Overview of Databases
SQL versus NoSQL: Key Differences
SQL Syntax in Databases
SQL Commands - I
SQL Commands - II
Significance of MongoDB
MongoDB Data Model - I
MongoDB Data Model - II
CRUD Operations in MongoDB
Learn to Design Schema in MongoDB
Document Structure and Nesting - I
When to Use Nesting?
Document Structure and Nesting - II
Handling Data Consistency and Redundancy
Query Performance with Indexing
Filtering Documents Using MQL - I
Filtering Documents Using MQL - II
MongoDB Sorting and Limiting
Update Operation on MongoDB
Deletion Operation on MongoDB
Data Manipulation Using Aggregation
Geospatial Data and Indexing
Data Wrangling with MongoDB: Getting Started
Introduction to Databases
Installation of MongoDB (Windows, Linux, MacOS)
Design Schema
Query Performance
Exploring the Fundamentals of MongoDB
Knowledge Check: Introduction to Databases
Knowledge Check: Fundamentals of MongoDB
Knowledge Check: Data Modeling in MongoDB
Knowledge Check: Querying in MongoDB
End Module Quiz: Getting Started with Databases: Exploring the Fundamentals of MongoDB
Database Applications
CRUD Operations
Data Redundancy
Geospatial Operators
Data Wrangling and Replication with MongoDB
Importing Data into MongoDB - I
Importing Data into MongoDB - II
Export Data to Various Formats - I
Export Data to Various Formats - II
Data Migration and Backups
Managing Inconsistent and Redundant Data
Data Sorting and Filtering - I
Data Sorting and Filtering - II
Data Type Conversions and Inconsistencies - I
Data Type Conversions and Inconsistencies - II
Data Transformation with Aggregation Pipelines - I
Data Transformation with Aggregation Pipelines - II
Data Analysis
Adopt MongoDB Security Best Practices
Set Up Authentication and Authorization
Security against Common Threats
Analyze and Improve Query Performance - I
Analyze and Improve Query Performance - II
Analyze and Improve Query Performance - III
Optimize Indexing Strategies - I
Optimize Indexing Strategies - II
MongoDB Profiler and Performance Advisor - I
MongoDB Profiler and Performance Advisor - II
Exemplifying MongoDB Replication Concepts - I
Exemplifying MongoDB Replication Concepts - II
Configuring and Managing Replica Sets - I
Configuring and Managing Replica Sets - II
Ensure High Availability and Fault Tolerance - I
Ensure High Availability and Fault Tolerance - II
Backup and Recovery Strategies
Toolset for Backup and Restoration - I
Toolset for Backup and Restoration - II
Disaster Recovery Management
Data Import and Export
Inconsistent and Redundant Data
Security in MongoDB
MongoDB Performance Optimization
MongoDB Replication and High Availability
MongoDB Tools for Backup and Recovery
Data Wrangling and Replication with MongoDB
Knowledge Check: Data Import and Export
Knowledge Check: Data Wrangling and Transformation
Knowledge Check: Security in MongoDB
Knowledge Quiz: MongoDB Performance Optimization
Knowledge Quiz: High Availability and Replication
Knowledge Quiz: MongoDB Tools for Backup and Recovery
End Module Quiz: Data Wrangling and Replication with MongoDB
Data Importing Techniques
Data Transformation
Third-party Security Tools
MongoDB Database
Scaling and High Availability
Backup and Restoration Process
Deep Dive in MongoDB - I
Introduction to MongoDB Sharding - I
Introduction to MongoDB Sharding - II
Why Sharding?
Benefits and Advantages of Sharding
Configure and Manage Sharded Clusters
Hands-on: Configure and Manage Sharded Clusters
Shard Keys and Data Distribution
MongoDB Atlas: Cloud-Based Service Installation
Cloud Deployment and Management in MongoDB - Part I
Cloud Deployment and Management in MongoDB - Part II
Explore MongoDB Cloud Product
Setting up Monitoring Tools
Hands-on: Setting up the Monitoring Tools
Analyze Performance Metrics
Hands-on: Analyze Performance in MongoDB Compass
Troubleshoot Common MongoDB Issues - Part I
Troubleshoot Common MongoDB Issues - Part II
Load Balancing in MongoDB
Caching Strategies in MongoDB - I
Caching Strategies in MongoDB - II
Managing Servers in MongoDB
Infrastructure as a Service (IaaS)
Sharding in MongoDB
Setup Guide for MongoDB Atlas
Monitoring Tools
Scaling and Load Balancing
Deep Dive in MongoDB - I
Knowledge Check: Overview of Sharding in MongoDB
Knowledge Check: MongoDB Atlas and Cloud Deployment
Knowledge Check: Monitoring and Troubleshooting Issues in MongoDB
Knowledge Quiz: Aspects of Scaling MongoDB
End Module Quiz: Deep Dive in MongoDB - I
Backup and Recovery for MongoDB
Database using MongoDB Atlas
MongoDB Monitoring Tools
Horizontal Scaling in MongoDB
Deep Dive in MongoDB - II
Data Governance Policies in MongoDB
General Data Protection Regulations (GDPR) - Part I
General Data Protection Regulations (GDPR) - Part II
Handling Sensitive Data
Dive Deeper into Query Optimization Techniques
Query Hints and Planner - Part I
Query Hints and Planner - Part II
Optimize Query Performance Analysis
Advanced Aggregation Operations
Custom Functions and Expressions
Hand-on: Custom Functions and Expressions
Data Transformation
Work with Time Series Data
Time Series Collections and Indexing
Perform Time-Based Analytics
Data Governance
Query Optimization
Aggregation Framework
Time Series Data in MongoDB
Advanced Aggregation Operations
Knowledge Quiz: Data Governance and Compliance in MongoDB
Knowledge Quiz: Advanced Query Optimization
Knowledge Quiz: Advanced Aggregation Framework
Knowledge Quiz: Time Series Data in MongoDB
End Module Quiz: Deep Dive in MongoDB - II
Data Security
Query Optimization
Advanced Aggregation
Time Series Data
Data Analytics with MongoDB
Real-Time Ingestion and Processing
Data Monitoring with Change Streams
Building Real-Time Applications
Visualize Data with Visualization Tools
Generate Interactive Reports and Dashboards
Communicate Insights from MongoDB Data Effectively
Data Processing with MongoDB
Connect MongoDB to Data Visualization Tools
Data Analytics with MongoDB
End Project: Sample E-Commerce System with MongoDB
Practice Project: Transforming Raw Data into Business Insights
Knowledge Check: Data Processing with MongoDB
Knowledge Check: Connect MongoDB to Data Visualization Tools
End Module Quiz: Data Analytics with MongoDB
End Course Knowledge Check: Data Wrangling with MongoDB
Data Processing Pipelines
Data Visualization Tools