Data Wrangling with MongoDB

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Data Wrangling with MongoDB

Dozent: Edureka

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5 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

Es dauert 21 Stunden

3 Wochen bei 7 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

5 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

Es dauert 21 Stunden

3 Wochen bei 7 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

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

Wichtige Details

Zertifikat zur Vorlage

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26 Aufgaben

Unterrichtet in Englisch

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In diesem Kurs gibt es 5 Module

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.

Das ist alles enthalten

23 Videos6 Lektüren5 Aufgaben4 Diskussionsthemen

23 VideosInsgesamt 126 Minuten

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

6 LektürenInsgesamt 60 Minuten

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

5 AufgabenInsgesamt 50 Minuten

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

4 DiskussionsthemenInsgesamt 20 Minuten

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

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.

Das ist alles enthalten

33 Videos7 Lektüren7 Aufgaben6 Diskussionsthemen

33 VideosInsgesamt 155 Minuten

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

7 LektürenInsgesamt 70 Minuten

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

7 AufgabenInsgesamt 60 Minuten

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

6 DiskussionsthemenInsgesamt 30 Minuten

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

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.

Das ist alles enthalten

22 Videos5 Lektüren5 Aufgaben4 Diskussionsthemen

22 VideosInsgesamt 115 Minuten

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

5 LektürenInsgesamt 50 Minuten

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

5 AufgabenInsgesamt 50 Minuten

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

4 DiskussionsthemenInsgesamt 45 Minuten

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

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.

Das ist alles enthalten

15 Videos5 Lektüren5 Aufgaben4 Diskussionsthemen

15 VideosInsgesamt 78 Minuten

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

5 LektürenInsgesamt 50 Minuten

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

5 AufgabenInsgesamt 50 Minuten

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

4 DiskussionsthemenInsgesamt 40 Minuten

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

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.

Das ist alles enthalten

6 Videos5 Lektüren4 Aufgaben2 Diskussionsthemen

6 VideosInsgesamt 29 Minuten

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

5 LektürenInsgesamt 90 Minuten

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

4 AufgabenInsgesamt 90 Minuten

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

2 DiskussionsthemenInsgesamt 20 Minuten

Data Processing Pipelines10 Minuten
Data Visualization Tools10 Minuten

Dozent

Edureka

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Edureka

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Häufig gestellte Fragen

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.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. 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.

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. If you only want to read and view the course content, you can audit the course for free.

Weitere Fragen

Besuchen Sie die das Hilfe-Center für Kursteilnehmer.

Diese kurs ist nicht verfügbar in Deutsch (Deutschland)

Data Wrangling with MongoDB

Was Sie lernen werden

Kompetenzen, die Sie erwerben

Wichtige Details

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Erwerben Sie ein Karrierezertifikat.

In diesem Kurs gibt es 5 Module

Getting Started with Databases: Exploring the Fundamentals of MongoDB

Das ist alles enthalten

Data Wrangling and Replication with MongoDB

Das ist alles enthalten

Deep Dive in MongoDB - I

Das ist alles enthalten

Deep Dive in MongoDB - II

Das ist alles enthalten

Data Analytics with MongoDB

Das ist alles enthalten

Dozent

von

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Warum entscheiden sich Menschen für Coursera für ihre Karriere?

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Bringen Sie Ihre Karriere mit einem Online-Abschluss voran.

Schließen Sie sich mehr als 3.400 Unternehmen in aller Welt an, die sich für Coursera for Business entschieden haben.

Häufig gestellte Fragen

What is MongoDB?

How do I get started with MongoDB?

Is MongoDB Free?

Weitere Fragen