Data Wrangling with MongoDB

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Data Wrangling with MongoDB

Instructeur : Edureka

Inclus avec Coursera Plus

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

21 heures pour terminer

3 semaines à 7 heures par semaine

Planning flexible

Apprenez à votre propre rythme

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

21 heures pour terminer

3 semaines à 7 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Working with MongoDB database fundamentals, replication, fault tolerance, data visualization techniques, and optimizing database performance.

Compétences que vous acquerrez

Catégorie : Proficiency in MongoDB's query language for effective data retrieval and manipulation.
Catégorie : Skills in cleaning, transforming, and standardizing data for analysis and compatibility.
Catégorie : Familiarity with strategies for sharding data across multiple servers to distribute load and scale MongoDB horizontally.
Catégorie : Proficient in constructing complex aggregation pipelines for meaningful data manipulation and analysis.
Catégorie : Expertise in creating and managing indexes to optimize MongoDB query performance.

Détails à connaître

Certificat partageable

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Évaluations

26 devoirs

Enseigné en Anglais

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Il y a 5 modules dans ce cours

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.

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.

Inclus

23 vidéos6 lectures5 devoirs4 sujets de discussion

23 vidéosTotal 126 minutes

Course Introduction5 minutesPrévisualiser le module
Overview of Databases4 minutes
SQL versus NoSQL: Key Differences5 minutes
SQL Syntax in Databases6 minutes
SQL Commands - I 7 minutes
SQL Commands - II4 minutes
Significance of MongoDB4 minutes
MongoDB Data Model - I6 minutes
MongoDB Data Model - II3 minutes
CRUD Operations in MongoDB6 minutes
Learn to Design Schema in MongoDB4 minutes
Document Structure and Nesting - I6 minutes
When to Use Nesting?1 minute
Document Structure and Nesting - II4 minutes
Handling Data Consistency and Redundancy6 minutes
Query Performance with Indexing5 minutes
Filtering Documents Using MQL - I3 minutes
Filtering Documents Using MQL - II6 minutes
MongoDB Sorting and Limiting5 minutes
Update Operation on MongoDB6 minutes
Deletion Operation on MongoDB6 minutes
Data Manipulation Using Aggregation6 minutes
Geospatial Data and Indexing6 minutes

6 lecturesTotal 60 minutes

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

5 devoirsTotal 50 minutes

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

4 sujets de discussionTotal 20 minutes

Database Applications5 minutes
CRUD Operations5 minutes
Data Redundancy5 minutes
Geospatial Operators5 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.

Inclus

33 vidéos7 lectures7 devoirs6 sujets de discussion

33 vidéosTotal 155 minutes

Importing Data into MongoDB - I7 minutesPrévisualiser le module
Importing Data into MongoDB - II1 minute
Export Data to Various Formats - I6 minutes
Export Data to Various Formats - II1 minute
Data Migration and Backups5 minutes
Managing Inconsistent and Redundant Data5 minutes
Data Sorting and Filtering - I3 minutes
Data Sorting and Filtering - II3 minutes
Data Type Conversions and Inconsistencies - I4 minutes
Data Type Conversions and Inconsistencies - II3 minutes
Data Transformation with Aggregation Pipelines - I6 minutes
Data Transformation with Aggregation Pipelines - II4 minutes
Data Analysis6 minutes
Adopt MongoDB Security Best Practices6 minutes
Set Up Authentication and Authorization6 minutes
Security against Common Threats3 minutes
Analyze and Improve Query Performance - I5 minutes
Analyze and Improve Query Performance - II2 minutes
Analyze and Improve Query Performance - III5 minutes
Optimize Indexing Strategies - I6 minutes
Optimize Indexing Strategies - II5 minutes
MongoDB Profiler and Performance Advisor - I4 minutes
MongoDB Profiler and Performance Advisor - II2 minutes
Exemplifying MongoDB Replication Concepts - I3 minutes
Exemplifying MongoDB Replication Concepts - II4 minutes
Configuring and Managing Replica Sets - I6 minutes
Configuring and Managing Replica Sets - II4 minutes
Ensure High Availability and Fault Tolerance - I5 minutes
Ensure High Availability and Fault Tolerance - II3 minutes
Backup and Recovery Strategies4 minutes
Toolset for Backup and Restoration - I5 minutes
Toolset for Backup and Restoration - II2 minutes
Disaster Recovery Management5 minutes

7 lecturesTotal 70 minutes

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

7 devoirsTotal 60 minutes

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

6 sujets de discussionTotal 30 minutes

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

Inclus

22 vidéos5 lectures5 devoirs4 sujets de discussion

22 vidéosTotal 115 minutes

Introduction to MongoDB Sharding - I6 minutesPrévisualiser le module
Introduction to MongoDB Sharding - II6 minutes
Why Sharding?5 minutes
Benefits and Advantages of Sharding6 minutes
Configure and Manage Sharded Clusters5 minutes
Hands-on: Configure and Manage Sharded Clusters4 minutes
Shard Keys and Data Distribution7 minutes
MongoDB Atlas: Cloud-Based Service Installation7 minutes
Cloud Deployment and Management in MongoDB - Part I5 minutes
Cloud Deployment and Management in MongoDB - Part II5 minutes
Explore MongoDB Cloud Product6 minutes
Setting up Monitoring Tools6 minutes
Hands-on: Setting up the Monitoring Tools1 minute
Analyze Performance Metrics5 minutes
Hands-on: Analyze Performance in MongoDB Compass3 minutes
Troubleshoot Common MongoDB Issues - Part I5 minutes
Troubleshoot Common MongoDB Issues - Part II 3 minutes
Load Balancing in MongoDB6 minutes
Caching Strategies in MongoDB - I3 minutes
Caching Strategies in MongoDB - II3 minutes
Managing Servers in MongoDB5 minutes
Infrastructure as a Service (IaaS)5 minutes

5 lecturesTotal 50 minutes

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

5 devoirsTotal 50 minutes

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

4 sujets de discussionTotal 45 minutes

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

Inclus

15 vidéos5 lectures5 devoirs4 sujets de discussion

15 vidéosTotal 78 minutes

Data Governance Policies in MongoDB5 minutesPrévisualiser le module
General Data Protection Regulations (GDPR) - Part I3 minutes
General Data Protection Regulations (GDPR) - Part II3 minutes
Handling Sensitive Data5 minutes
Dive Deeper into Query Optimization Techniques7 minutes
Query Hints and Planner - Part I7 minutes
Query Hints and Planner - Part II2 minutes
Optimize Query Performance Analysis5 minutes
Advanced Aggregation Operations6 minutes
Custom Functions and Expressions5 minutes
Hand-on: Custom Functions and Expressions4 minutes
Data Transformation5 minutes
Work with Time Series Data6 minutes
Time Series Collections and Indexing4 minutes
Perform Time-Based Analytics4 minutes

5 lecturesTotal 50 minutes

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

5 devoirsTotal 50 minutes

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

4 sujets de discussionTotal 40 minutes

Data Security10 minutes
Query Optimization10 minutes
Advanced Aggregation10 minutes
Time Series Data10 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.

Inclus

6 vidéos5 lectures4 devoirs2 sujets de discussion

6 vidéosTotal 29 minutes

Real-Time Ingestion and Processing3 minutesPrévisualiser le module
Data Monitoring with Change Streams4 minutes
Building Real-Time Applications5 minutes
Visualize Data with Visualization Tools3 minutes
Generate Interactive Reports and Dashboards7 minutes
Communicate Insights from MongoDB Data Effectively4 minutes

5 lecturesTotal 90 minutes

Data Processing with MongoDB10 minutes
Connect MongoDB to Data Visualization Tools10 minutes
Data Analytics with MongoDB10 minutes
End Project: Sample E-Commerce System with MongoDB30 minutes
Practice Project: Transforming Raw Data into Business Insights30 minutes

4 devoirsTotal 90 minutes

End Module Quiz: Data Analytics with MongoDB30 minutes
End Course Knowledge Check: Data Wrangling with MongoDB50 minutes
Knowledge Check: Data Processing with MongoDB5 minutes
Knowledge Check: Connect MongoDB to Data Visualization Tools5 minutes

2 sujets de discussionTotal 20 minutes

Data Processing Pipelines10 minutes
Data Visualization Tools10 minutes

Instructeur

Edureka

47 Cours41 960 apprenants

Offert par

Edureka

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Foire Aux 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.

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