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Joel Taylor
Conjure MongoDB and journey into a NoSQL world of documents. Explore the basics and learn to store data in a document-oriented database.
Conjure MongoDB and journey into a NoSQL world of documents. Explore the basics and learn to store data in a document-oriented database.
Register for this course and see more details by visiting:
OpenCourser.com/course/egi54o/code
What's inside
Syllabus
Conjuring MongoDB
Mystical Modifications
Materializing Potions
Morphing Models
Read more
Syllabus
Conjuring MongoDB
Mystical Modifications
Materializing Potions
Morphing Models
Read more
Aggregation Apparitions
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides an ideal pathway to enhance practical knowledge for anyone seeking to establish a strong foundation in a NoSQL world
Provides an excellent overview of the basics of MongoDB for beginners looking to understand the fundamentals of document-oriented databases
Suitable for both aspiring and experienced programmers, offering a comprehensive foundation in NoSQL and document-oriented database concepts
Taught by experienced industry experts, Joel Taylor, ensuring learners benefit from real-world insights and practical applications
Covers essential concepts such as data modeling, querying, and aggregation, providing a well-rounded understanding of MongoDB's capabilities
Save this course
Save Code School: The Magical Marvels of MongoDB to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Code School: The Magical Marvels of MongoDB with these
activities:
Brush Up on JavaScript Fundamentals
Show steps
Ensure your JavaScript skills are sharp to effectively work with MongoDB and related tools.
Browse courses on
JavaScript
Show steps
-
Review basic JavaScript concepts
-
Practice writing JavaScript functions and objects
Review NoSQL Concepts
Show steps
Strengthen your grasp of document-oriented databases and NoSQL concepts to prepare for this course.
Browse courses on
NoSQL
Show steps
-
Review introductory tutorials on NoSQL and MongoDB
-
Read articles and blog posts to stay up to date with the latest advancements in NoSQL
Explore 'MongoDB in Action'
Show steps
Gain a deeper understanding of MongoDB concepts and best practices with this comprehensive guide.
View
MongoDB in Action: Covers MongoDB version 3.0
on Amazon
Show steps
-
Read the book thoroughly
-
Take notes and highlight important concepts
-
Work through the exercises and examples provided in the book
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice Queries in MongoDB Compass
Show steps
Enhance your proficiency in writing and executing queries in MongoDB using the MongoDB Compass interface.
Show steps
-
Install and set up MongoDB Compass
-
Import sample datasets to practice with
-
Practice executing simple queries using the MongoDB Compass UI
-
Experiment with more complex queries and aggregation pipelines
Write a Blog Post About MongoDB Aggregations
Show steps
Share your understanding of MongoDB aggregation pipelines by creating a blog post that explains their usage and benefits.
Browse courses on
Data Analysis
Show steps
-
Choose a specific aspect of MongoDB aggregations to focus on
-
Research the topic thoroughly and gather relevant information
-
Write a clear and concise blog post that explains the concept effectively
-
Edit and proofread your blog post
Contribute to an Open Source MongoDB Project
Show steps
Gain practical experience and give back to the community by contributing to an open source MongoDB project.
Browse courses on
Open Source
Show steps
-
Identify a suitable MongoDB project that aligns with your interests and skills
-
Contact the project maintainers to express your interest in contributing
-
Follow the project's guidelines and contribute code, documentation, or other resources
Brush Up on JavaScript Fundamentals
Show steps
Ensure your JavaScript skills are sharp to effectively work with MongoDB and related tools.
Browse courses on
JavaScript
Show steps
Show steps
Show steps
- Review basic JavaScript concepts
- Practice writing JavaScript functions and objects
Review NoSQL Concepts
Show steps
Strengthen your grasp of document-oriented databases and NoSQL concepts to prepare for this course.
Browse courses on
NoSQL
Show steps
Show steps
Show steps
- Review introductory tutorials on NoSQL and MongoDB
- Read articles and blog posts to stay up to date with the latest advancements in NoSQL
Explore 'MongoDB in Action'
Show steps
Gain a deeper understanding of MongoDB concepts and best practices with this comprehensive guide.
View
MongoDB in Action: Covers MongoDB version 3.0
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly
- Take notes and highlight important concepts
- Work through the exercises and examples provided in the book
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice Queries in MongoDB Compass
Show steps
Enhance your proficiency in writing and executing queries in MongoDB using the MongoDB Compass interface.
Show steps
Show steps
Show steps
- Install and set up MongoDB Compass
- Import sample datasets to practice with
- Practice executing simple queries using the MongoDB Compass UI
- Experiment with more complex queries and aggregation pipelines
Write a Blog Post About MongoDB Aggregations
Show steps
Share your understanding of MongoDB aggregation pipelines by creating a blog post that explains their usage and benefits.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Choose a specific aspect of MongoDB aggregations to focus on
- Research the topic thoroughly and gather relevant information
- Write a clear and concise blog post that explains the concept effectively
- Edit and proofread your blog post
Contribute to an Open Source MongoDB Project
Show steps
Gain practical experience and give back to the community by contributing to an open source MongoDB project.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify a suitable MongoDB project that aligns with your interests and skills
- Contact the project maintainers to express your interest in contributing
- Follow the project's guidelines and contribute code, documentation, or other resources
Career center
Learners who complete Code School: The Magical Marvels of MongoDB will develop knowledge and skills
that may be useful to these careers:
Data Privacy Analyst
Data Privacy Analyst
A Data Privacy Analyst develops and implements data privacy policies and procedures. This course provides a foundation in data storage and management, which are essential skills for Data Privacy Analysts.
Database Designer
Database Designer
A Database Designer designs and develops database systems. This course provides a foundation in data storage and management, which are essential skills for Database Designers.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst develops and implements data governance policies and procedures. This course provides a foundation in data storage and management, which are essential skills for Data Governance Analysts.
Data Architect
Data Architect
A Data Architect designs and manages data architectures for organizations. This course provides a foundation in data storage and management, which are essential skills for Data Architects.
Cloud Architect
Cloud Architect
A Cloud Architect designs and manages cloud computing systems for organizations. This course provides a foundation in data storage and management, which are essential skills for Cloud Architects.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases, ensuring their availability, performance, and security. This course provides a foundation in data storage and management, which are essential skills for Database Administrators.
Data Engineer
Data Engineer
A Data Engineer designs and builds data pipelines and systems to manage and process data. This course provides a foundation in data storage and management, which are essential skills for Data Engineers.
Data Scientist
Data Scientist
A Data Scientist uses data analysis and machine learning to solve business problems. This course may be useful as it provides a foundation in data storage and management, which are key skills for Data Scientists.
Business Analyst
Business Analyst
A Business Analyst analyzes business needs and develops solutions to improve business processes. This course may be useful as it provides a foundation in data storage and management, which are key skills for Business Analysts.
Data Analyst
Data Analyst
A Data Analyst gathers, cleans, and analyzes data to help businesses make informed decisions. This course may be useful as it provides a foundation in data storage and management, which are key skills for Data Analysts.
Information Systems Manager
Information Systems Manager
An Information Systems Manager plans, implements, and manages information systems for organizations. This course may be useful as it provides a foundation in data storage and management, which are key skills for Information Systems Managers.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course may be useful as it provides a foundation in data storage and management, which are key skills for Project Managers.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation. This course may be useful as it provides a foundation in data storage and management, which are key skills for Technical Writers.
Web Developer
Web Developer
A Web Developer designs and develops websites and web applications. This course may be useful as it provides a foundation in data storage and management, which are key skills for Web Developers.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be useful as it provides a foundation in data storage and management, which are key skills for Software Engineers.
For more career information including salaries, visit:
OpenCourser.com/course/egi54o/code
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Code School: The Magical Marvels of MongoDB.
Comprehensive guide to MongoDB, covering everything from the basics to advanced topics. It valuable resource for anyone who wants to learn more about MongoDB.
Save
Practical guide to data modeling with MongoDB. It covers the basics of data modeling, as well as how to use MongoDB's specific features to create effective data models.
Focuses on data modeling techniques for MongoDB, covering document-oriented design patterns, schema design, and data normalization. Provides best practices and tips for efficient data storage.
Covers advanced performance optimization techniques for MongoDB, including indexing strategies, query optimization, and hardware considerations. Provides real-world examples and case studies.
Save
Provides a deep dive into the internal workings of MongoDB, covering storage engine, query processing, and concurrency control. Provides insights into the performance characteristics and limitations of MongoDB.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/egi54o/code
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Time
56 hours
Level
Introductory
Via
Pluralsight
Instructor
Joel Taylor
Language
English
Good to know
Provides an ideal pathway to enhance practical knowledge for anyone seeking to establish a strong foundation in a NoSQL world
Provides an excellent overview of the basics of MongoDB for beginners looking to understand the fundamentals of document-oriented databases
Suitable for both aspiring and experienced programmers, offering a comprehensive foundation in NoSQL and document-oriented database concepts
Taught by experienced industry experts, Joel Taylor, ensuring learners benefit from real-world insights and practical applications
Covers essential concepts such as data modeling, querying, and aggregation, providing a well-rounded understanding of MongoDB's capabilities
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