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.

How do I get started with MongoDB?

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.

Is MongoDB Administration a Good Career Option?

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.

What is the duration of this course?

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.

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.

When will I have access to the lectures and assignments?

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.

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

位教师：Edureka

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5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

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.

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作业

26 项作业

授课语言：英语（English）

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of learners achieved a positive career outcome

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有5个模块

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.

单元详情

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.

涵盖的内容

23个视频6篇阅读材料5个作业4个讨论话题

23个视频总计127分钟

Course Introduction6分钟
Overview of Databases4分钟
SQL versus NoSQL: Key Differences6分钟
SQL Syntax in Databases7分钟
SQL Commands - I 7分钟
SQL Commands - II5分钟
Significance of MongoDB4分钟
MongoDB Data Model - I7分钟
MongoDB Data Model - II4分钟
CRUD Operations in MongoDB6分钟
Learn to Design Schema in MongoDB5分钟
Document Structure and Nesting - I6分钟
When to Use Nesting?2分钟
Document Structure and Nesting - II5分钟
Handling Data Consistency and Redundancy6分钟
Query Performance with Indexing6分钟
Filtering Documents Using MQL - I3分钟
Filtering Documents Using MQL - II6分钟
MongoDB Sorting and Limiting5分钟
Update Operation on MongoDB7分钟
Deletion Operation on MongoDB7分钟
Data Manipulation Using Aggregation7分钟
Geospatial Data and Indexing7分钟

6篇阅读材料总计60分钟

Data Wrangling with MongoDB: Getting Started10分钟
Introduction to Databases10分钟
Installation of MongoDB (Windows, Linux, MacOS)10分钟
Design Schema10分钟
Query Performance10分钟
Exploring the Fundamentals of MongoDB10分钟

5个作业总计50分钟

Knowledge Check: Introduction to Databases5分钟
Knowledge Check: Fundamentals of MongoDB5分钟
Knowledge Check: Data Modeling in MongoDB5分钟
Knowledge Check: Querying in MongoDB5分钟
End Module Quiz: Getting Started with Databases: Exploring the Fundamentals of MongoDB 30分钟

4个讨论话题总计20分钟

Database Applications5分钟
CRUD Operations5分钟
Data Redundancy5分钟
Geospatial Operators5分钟

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.

涵盖的内容

33个视频7篇阅读材料7个作业6个讨论话题

33个视频总计156分钟

Importing Data into MongoDB - I7分钟
Importing Data into MongoDB - II1分钟
Export Data to Various Formats - I7分钟
Export Data to Various Formats - II2分钟
Data Migration and Backups5分钟
Managing Inconsistent and Redundant Data6分钟
Data Sorting and Filtering - I3分钟
Data Sorting and Filtering - II3分钟
Data Type Conversions and Inconsistencies - I4分钟
Data Type Conversions and Inconsistencies - II4分钟
Data Transformation with Aggregation Pipelines - I7分钟
Data Transformation with Aggregation Pipelines - II4分钟
Data Analysis6分钟
Adopt MongoDB Security Best Practices7分钟
Set Up Authentication and Authorization7分钟
Security against Common Threats4分钟
Analyze and Improve Query Performance - I5分钟
Analyze and Improve Query Performance - II2分钟
Analyze and Improve Query Performance - III6分钟
Optimize Indexing Strategies - I7分钟
Optimize Indexing Strategies - II5分钟
MongoDB Profiler and Performance Advisor - I5分钟
MongoDB Profiler and Performance Advisor - II3分钟
Exemplifying MongoDB Replication Concepts - I3分钟
Exemplifying MongoDB Replication Concepts - II5分钟
Configuring and Managing Replica Sets - I7分钟
Configuring and Managing Replica Sets - II4分钟
Ensure High Availability and Fault Tolerance - I6分钟
Ensure High Availability and Fault Tolerance - II3分钟
Backup and Recovery Strategies4分钟
Toolset for Backup and Restoration - I6分钟
Toolset for Backup and Restoration - II3分钟
Disaster Recovery Management5分钟

7篇阅读材料总计70分钟

Data Import and Export10分钟
Inconsistent and Redundant Data10分钟
Security in MongoDB10分钟
MongoDB Performance Optimization10分钟
MongoDB Replication and High Availability10分钟
MongoDB Tools for Backup and Recovery10分钟
Data Wrangling and Replication with MongoDB10分钟

7个作业总计60分钟

Knowledge Check: Data Import and Export5分钟
Knowledge Check: Data Wrangling and Transformation5分钟
Knowledge Check: Security in MongoDB5分钟
Knowledge Quiz: MongoDB Performance Optimization5分钟
Knowledge Quiz: High Availability and Replication5分钟
Knowledge Quiz: MongoDB Tools for Backup and Recovery5分钟
End Module Quiz: Data Wrangling and Replication with MongoDB30分钟

6个讨论话题总计30分钟

Data Importing Techniques5分钟
Data Transformation5分钟
Third-party Security Tools5分钟
MongoDB Database5分钟
Scaling and High Availability5分钟
Backup and Restoration Process5分钟

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.

涵盖的内容

22个视频5篇阅读材料5个作业4个讨论话题

22个视频总计116分钟

Introduction to MongoDB Sharding - I6分钟
Introduction to MongoDB Sharding - II7分钟
Why Sharding?6分钟
Benefits and Advantages of Sharding6分钟
Configure and Manage Sharded Clusters6分钟
Hands-on: Configure and Manage Sharded Clusters4分钟
Shard Keys and Data Distribution7分钟
MongoDB Atlas: Cloud-Based Service Installation7分钟
Cloud Deployment and Management in MongoDB - Part I5分钟
Cloud Deployment and Management in MongoDB - Part II5分钟
Explore MongoDB Cloud Product6分钟
Setting up Monitoring Tools7分钟
Hands-on: Setting up the Monitoring Tools2分钟
Analyze Performance Metrics5分钟
Hands-on: Analyze Performance in MongoDB Compass4分钟
Troubleshoot Common MongoDB Issues - Part I5分钟
Troubleshoot Common MongoDB Issues - Part II 3分钟
Load Balancing in MongoDB6分钟
Caching Strategies in MongoDB - I4分钟
Caching Strategies in MongoDB - II4分钟
Managing Servers in MongoDB5分钟
Infrastructure as a Service (IaaS)5分钟

5篇阅读材料总计50分钟

Sharding in MongoDB10分钟
Setup Guide for MongoDB Atlas 10分钟
Monitoring Tools10分钟
Scaling and Load Balancing10分钟
Deep Dive in MongoDB - I10分钟

5个作业总计50分钟

Knowledge Check: Overview of Sharding in MongoDB5分钟
Knowledge Check: MongoDB Atlas and Cloud Deployment5分钟
Knowledge Check: Monitoring and Troubleshooting Issues in MongoDB5分钟
Knowledge Quiz: Aspects of Scaling MongoDB5分钟
End Module Quiz: Deep Dive in MongoDB - I30分钟

4个讨论话题总计45分钟

Backup and Recovery for MongoDB 5分钟
Database using MongoDB Atlas10分钟
MongoDB Monitoring Tools20分钟
Horizontal Scaling in MongoDB10分钟

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.

涵盖的内容

15个视频5篇阅读材料5个作业4个讨论话题

15个视频总计78分钟

Data Governance Policies in MongoDB5分钟
General Data Protection Regulations (GDPR) - Part I3分钟
General Data Protection Regulations (GDPR) - Part II4分钟
Handling Sensitive Data6分钟
Dive Deeper into Query Optimization Techniques7分钟
Query Hints and Planner - Part I7分钟
Query Hints and Planner - Part II3分钟
Optimize Query Performance Analysis5分钟
Advanced Aggregation Operations7分钟
Custom Functions and Expressions5分钟
Hand-on: Custom Functions and Expressions4分钟
Data Transformation6分钟
Work with Time Series Data6分钟
Time Series Collections and Indexing5分钟
Perform Time-Based Analytics5分钟

5篇阅读材料总计50分钟

Data Governance10分钟
Query Optimization10分钟
Aggregation Framework10分钟
Time Series Data in MongoDB10分钟
Advanced Aggregation Operations10分钟

5个作业总计50分钟

Knowledge Quiz: Data Governance and Compliance in MongoDB5分钟
Knowledge Quiz: Advanced Query Optimization5分钟
Knowledge Quiz: Advanced Aggregation Framework5分钟
Knowledge Quiz: Time Series Data in MongoDB5分钟
End Module Quiz: Deep Dive in MongoDB - II30分钟

4个讨论话题总计40分钟

Data Security10分钟
Query Optimization10分钟
Advanced Aggregation10分钟
Time Series Data10分钟

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.