Data Wrangling with MongoDB

位教师：Edureka

访问权限由 New York State Department of Labor 提供

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）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

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.

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

6篇阅读材料总计60分钟

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

5个作业总计50分钟

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

4个讨论话题总计20分钟

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

7篇阅读材料总计70分钟

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

7个作业总计60分钟

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

6个讨论话题总计30分钟

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

5篇阅读材料总计50分钟

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

5个作业总计50分钟

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

4个讨论话题总计45分钟

Backup and Recovery for MongoDB 5分钟
Database using MongoDB Atlas 10分钟
MongoDB Monitoring Tools 20分钟
Horizontal Scaling in MongoDB 10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 MongoDB 5分钟
General Data Protection Regulations (GDPR) - Part I 3分钟
General Data Protection Regulations (GDPR) - Part II 4分钟
Handling Sensitive Data 6分钟
Dive Deeper into Query Optimization Techniques 7分钟
Query Hints and Planner - Part I 7分钟
Query Hints and Planner - Part II 3分钟
Optimize Query Performance Analysis 5分钟
Advanced Aggregation Operations 7分钟
Custom Functions and Expressions 5分钟
Hand-on: Custom Functions and Expressions 4分钟
Data Transformation 6分钟
Work with Time Series Data 6分钟
Time Series Collections and Indexing 5分钟
Perform Time-Based Analytics 5分钟

5篇阅读材料总计50分钟

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

5个作业总计50分钟

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

4个讨论话题总计40分钟

Data Security 10分钟
Query Optimization 10分钟
Advanced Aggregation 10分钟
Time Series Data 10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.