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David Dalsveen
Unlike relational databases, NoSQL databases such as MongoDB store data as collections of fields, rather than rows and columns. It mimics the way humans think of objects and provides a smooth interface for applications that are object-oriented. Each ‘object’ is stored in JSON format in a data structure called a Document. The Document may represent a single word and its definition for example. A Document is stored in a Collection, which contains one to many Documents. The MongoDB database then contains one to many Collections.
Read more
Unlike relational databases, NoSQL databases such as MongoDB store data as collections of fields, rather than rows and columns. It mimics the way humans think of objects and provides a smooth interface for applications that are object-oriented. Each ‘object’ is stored in JSON format in a data structure called a Document. The Document may represent a single word and its definition for example. A Document is stored in a Collection, which contains one to many Documents. The MongoDB database then contains one to many Collections.
Read more
Unlike relational databases, NoSQL databases such as MongoDB store data as collections of fields, rather than rows and columns. It mimics the way humans think of objects and provides a smooth interface for applications that are object-oriented. Each ‘object’ is stored in JSON format in a data structure called a Document. The Document may represent a single word and its definition for example. A Document is stored in a Collection, which contains one to many Documents. The MongoDB database then contains one to many Collections.
In this course, you will create a MongoDB database collection containing words and their definitions. You will then retrieve data from the collection, update data, remove document data from the collection, and finally delete a document, a collection, and a database.
Register for this course and see more details by visiting:
OpenCourser.com/course/ksn5cq/crud
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What's inside
Syllabus
CRUD operations using MongoDB NoSQL
Unlike relational databases, NoSQL databases such as MongoDB store data as collections of fields, rather than rows and columns. It mimics the way humans think of objects and provides a smooth interface for applications that are object-oriented. Each ‘object’ is stored in JSON format in a data structure called a Document. The Document may represent a single word and its definition for example. A Document is stored in a Collection, which contains one to many Documents. The MongoDB database then contains one to many Collections.
In this course, you will create a MongoDB database collection containing words and their definitions. You will then retrieve data from the collection, update data, remove document data from the collection, and finally delete a document, a collection, and a database.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Offers hands-on practice with a real-world dataset, providing practical skills and proficiency
Geared towards beginners seeking a foundational understanding of MongoDB NoSQL databases
vermittelt die Grundlagen von MongoDB NoSQL-Datenbanken für Anfänger
Dieser Kurs bietet einen umfassenden Überblick über die CRUD-Operationen, die für die Arbeit mit MongoDB-Datenbanken unerlässlich sind
Die detaillierte Kursbeschreibung erläutert die technischen Konzepte und die Anwendung in realen Szenarien
Der Kurs verwendet JSON-Formate und Dokumentstrukturen, die in MongoDB weit verbreitet sind, was die Übertragbarkeit des Gelernten erhöht
Save this course
Save CRUD Operations using MongoDB NoSQL to your list so you can find it easily later:
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Reviews summary
Engaging and useful nosql
Learners say this engaging and useful course is a great starting point for learning foundational MongoDB and NoSQL skills.
Easy-to-use platform
"I like the platform that eas used"
Provides foundational skills
"Good to understand MongoDB and NoSQL skills"
"Very useful course to have a starting point"
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 CRUD Operations using MongoDB NoSQL with these
activities:
Review 'Database Systems' by Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
Show steps
Deepen your understanding of database theory and prepare yourself for the advanced concepts you will encounter in this course.
View
Database Systems: The Complete Book
on Amazon
Show steps
-
Read through Chapter 1: Introduction and Overview
-
Read through Chapter 8: Object and XML Databases
-
Read through any sections relevant to the next lecture.
Follow online tutorials on MongoDB CRUD operations
Show steps
Supplement your understanding of MongoDB CRUD operations with guided tutorials.
Show steps
-
Search for online tutorials on MongoDB CRUD operations
-
Choose a tutorial that aligns with your learning style and level
-
Follow the steps outlined in the tutorial
Participate in online discussion forums on MongoDB
Show steps
Engage with peers and experts in the MongoDB community to clarify concepts and expand your knowledge.
Show steps
-
Identify relevant online discussion forums on MongoDB
-
Actively participate in discussions, asking questions and sharing insights
-
Respond to queries and provide assistance to other members of the community
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve practice exercises from the textbook
Show steps
Reinforce the concepts you learn in lecture by working through practice problems.
Show steps
-
Identify the practice problems at the end of each chapter that are relevant to the lecture
-
Solve the problems on your own
-
Check your answers against the solutions provided in the book or online
Create a mind map or concept diagram of the MongoDB database model
Show steps
Develop a visual representation of the MongoDB database model to enhance your understanding of its structure and relationships.
Show steps
-
Identify the key concepts and relationships in the MongoDB database model
-
Choose a mind mapping or concept diagramming tool
-
Create a visual representation of the model, including entities, attributes, and relationships
Attend a MongoDB workshop or meetup
Show steps
Gain practical experience and connect with professionals in the MongoDB community through a workshop or meetup.
Show steps
-
Search for upcoming MongoDB workshops or meetups in your area or online
-
Register for and attend the event
-
Actively participate in the workshop or meetup, asking questions and sharing your knowledge
Develop a MongoDB database schema for a real-world scenario
Show steps
Apply your knowledge of MongoDB to a practical scenario by designing a database schema for a real-world application.
Show steps
-
Identify a real-world scenario that requires a database
-
Define the requirements and constraints of the database
-
Design the MongoDB database schema, including collections, documents, and fields
-
Create a prototype of the database using MongoDB
Contribute to open source MongoDB projects
Show steps
Enhance your practical skills and contribute to the MongoDB community by volunteering on open source projects.
Show steps
-
Identify open source MongoDB projects that align with your interests and skill level
-
Contact the project maintainers and express your interest in contributing
-
Follow the project's contribution guidelines and make meaningful contributions to the codebase
Review 'Database Systems' by Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
Show steps
Deepen your understanding of database theory and prepare yourself for the advanced concepts you will encounter in this course.
View
Database Systems: The Complete Book
on Amazon
Show steps
Show steps
Show steps
- Read through Chapter 1: Introduction and Overview
- Read through Chapter 8: Object and XML Databases
- Read through any sections relevant to the next lecture.
Follow online tutorials on MongoDB CRUD operations
Show steps
Supplement your understanding of MongoDB CRUD operations with guided tutorials.
Show steps
Show steps
Show steps
- Search for online tutorials on MongoDB CRUD operations
- Choose a tutorial that aligns with your learning style and level
- Follow the steps outlined in the tutorial
Participate in online discussion forums on MongoDB
Show steps
Engage with peers and experts in the MongoDB community to clarify concepts and expand your knowledge.
Show steps
Show steps
Show steps
- Identify relevant online discussion forums on MongoDB
- Actively participate in discussions, asking questions and sharing insights
- Respond to queries and provide assistance to other members of the community
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve practice exercises from the textbook
Show steps
Reinforce the concepts you learn in lecture by working through practice problems.
Show steps
Show steps
Show steps
- Identify the practice problems at the end of each chapter that are relevant to the lecture
- Solve the problems on your own
- Check your answers against the solutions provided in the book or online
Create a mind map or concept diagram of the MongoDB database model
Show steps
Develop a visual representation of the MongoDB database model to enhance your understanding of its structure and relationships.
Show steps
Show steps
Show steps
- Identify the key concepts and relationships in the MongoDB database model
- Choose a mind mapping or concept diagramming tool
- Create a visual representation of the model, including entities, attributes, and relationships
Attend a MongoDB workshop or meetup
Show steps
Gain practical experience and connect with professionals in the MongoDB community through a workshop or meetup.
Show steps
Show steps
Show steps
- Search for upcoming MongoDB workshops or meetups in your area or online
- Register for and attend the event
- Actively participate in the workshop or meetup, asking questions and sharing your knowledge
Develop a MongoDB database schema for a real-world scenario
Show steps
Apply your knowledge of MongoDB to a practical scenario by designing a database schema for a real-world application.
Show steps
Show steps
Show steps
- Identify a real-world scenario that requires a database
- Define the requirements and constraints of the database
- Design the MongoDB database schema, including collections, documents, and fields
- Create a prototype of the database using MongoDB
Contribute to open source MongoDB projects
Show steps
Enhance your practical skills and contribute to the MongoDB community by volunteering on open source projects.
Show steps
Show steps
Show steps
- Identify open source MongoDB projects that align with your interests and skill level
- Contact the project maintainers and express your interest in contributing
- Follow the project's contribution guidelines and make meaningful contributions to the codebase
Career center
Learners who complete CRUD Operations using MongoDB NoSQL will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
A Database Administrator designs, plans, and implements the set-up and management of an organization's database systems. With a thorough understanding of different database management systems, including MongoDB NoSQL, this course will provide you with a strong foundation to conceptualize efficient database solutions for various enterprise applications.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to extract meaningful insights. This course will equip you with the knowledge to perform CRUD operations using MongoDB NoSQL, which will enhance your data wrangling and analysis capabilities, making you a more effective Data Analyst.
Data Scientist
Data Scientist
Data Scientists use their expertise in statistics, mathematics, and programming to develop and apply analytical models to extract insights from data. By gaining proficiency in CRUD operations using MongoDB NoSQL through this course, you will strengthen your ability to manage and process large datasets, which is essential for successful Data Scientists.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course will introduce you to the concepts and practices of NoSQL databases, specifically MongoDB, which are increasingly used in modern software development. By understanding how to perform CRUD operations using MongoDB NoSQL, you can expand your skillset and become a more well-rounded Software Engineer.
Web Developer
Web Developer
Web Developers create and maintain websites and web applications. This course will provide you with knowledge of MongoDB NoSQL, a popular NoSQL database used in web development. By learning how to perform CRUD operations in MongoDB, you can enhance your ability to develop and manage data-driven web applications.
Information Architect
Information Architect
Information Architects design and organize information systems to ensure that users can easily find and access the information they need. This course will equip you with the understanding of MongoDB NoSQL, a flexible and scalable NoSQL database, which is becoming increasingly popular for managing large and complex information systems. By mastering CRUD operations in MongoDB, you can enhance your ability to design and implement efficient information systems.
Database Designer
Database Designer
Database Designers create and maintain the structure and organization of databases to ensure efficient data storage and retrieval. This course will provide you with insights into MongoDB NoSQL, a popular NoSQL database known for its flexibility and scalability. By learning how to perform CRUD operations in MongoDB, you can develop a solid foundation for designing and managing modern database systems.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines to ensure the availability and integrity of data for various applications. This course will introduce you to MongoDB NoSQL, a widely used NoSQL database for handling large and complex datasets. By understanding how to perform CRUD operations in MongoDB, you can enhance your ability to build scalable and reliable data pipelines.
Business Analyst
Business Analyst
Business Analysts help organizations improve their business processes by analyzing data and identifying areas for improvement. This course will provide you with knowledge of MongoDB NoSQL, a NoSQL database that is widely used for storing and processing large datasets. By learning how to perform CRUD operations in MongoDB, you can enhance your ability to gather, analyze, and interpret data to drive better business decisions.
Systems Analyst
Systems Analyst
Systems Analysts design, implement, and maintain information systems to meet the needs of an organization. This course will provide you with a solid understanding of MongoDB NoSQL, a popular NoSQL database known for its flexibility and scalability. By learning how to perform CRUD operations in MongoDB, you can enhance your ability to analyze, design, and implement efficient information systems.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation, such as user manuals, white papers, and online help systems. This course will provide you with knowledge of MongoDB NoSQL, a database technology that is becoming increasingly popular in modern applications. By learning how to perform CRUD operations in MongoDB, you can enhance your ability to write clear and accurate technical documentation for software and systems that use MongoDB.
Project Manager
Project Manager
Project Managers lead and oversee projects to ensure their successful completion. This course may provide you with some relevant knowledge of MongoDB NoSQL, a database technology that is used in various industries. By understanding the basics of MongoDB, you can better manage projects that involve data management and storage.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software and systems to ensure they meet quality standards. This course may provide you with some insights into MongoDB NoSQL, a database technology that is used in various applications. By understanding the basics of MongoDB, you can better evaluate the quality of software and systems that use this technology.
IT Support Specialist
IT Support Specialist
IT Support Specialists provide technical support to users and ensure the smooth operation of computer systems. This course may provide you with some basic knowledge of MongoDB NoSQL, a database technology that is used in various environments. By understanding the basics of MongoDB, you can better assist users and troubleshoot issues related to this technology.
Sales Engineer
Sales Engineer
Sales Engineers provide technical expertise and support to customers during the sales process. This course may provide you with some basic knowledge of MongoDB NoSQL, a database technology that is used in various industries. By understanding the basics of MongoDB, you can better communicate the benefits and capabilities of this technology to potential customers.
For more career information including salaries, visit:
OpenCourser.com/course/ksn5cq/crud
Reading list
We've selected ten 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
CRUD Operations using MongoDB NoSQL.
Widely regarded as the most comprehensive resource on MongoDB. It covers all important aspects from installation and configuration to advanced querying and aggregation. While it is more in-depth than what's required for this course, it serves as an excellent reference.
A technical guide to the design and implementation of MongoDB. It covers topics such as data modeling, indexing, and replication.
Save
This practical guide provides a hands-on approach to MongoDB. It includes numerous code examples and exercises, making it a great companion for this course.
A practical guide to MongoDB, with a focus on getting started quickly. It provides clear and concise instructions, making it a good choice for beginners who want to learn the basics of MongoDB.
A guide to data modeling for MongoDB, covering the different data models that can be used with MongoDB and how to choose the right model for a particular application. It good choice for readers who are new to data modeling or who want to learn more about how to model data in MongoDB.
A beginner-friendly guide to MongoDB, covering the basics of the database in a clear and straightforward manner. It good choice for readers who have no prior experience with MongoDB.
While not specific to MongoDB, this book provides a solid foundation in NoSQL concepts and architectures. It is useful for understanding the underlying principles behind MongoDB's design.
A guide to working with JSON data, covering the different ways to create, parse, and validate JSON data. It good choice for readers who want to learn more about JSON and how to use it with MongoDB.
A non-technical introduction to NoSQL databases, including MongoDB. It provides a clear and straightforward explanation of the key concepts and benefits of NoSQL.
Save
A comprehensive reference on JSON, covering the syntax, semantics, and use of JSON. It good choice for readers who want to learn more about the details of JSON.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ksn5cq/crud
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
David Dalsveen
Language
English
Good to know
Offers hands-on practice with a real-world dataset, providing practical skills and proficiency
Geared towards beginners seeking a foundational understanding of MongoDB NoSQL databases
vermittelt die Grundlagen von MongoDB NoSQL-Datenbanken für Anfänger
Dieser Kurs bietet einen umfassenden Überblick über die CRUD-Operationen, die für die Arbeit mit MongoDB-Datenbanken unerlässlich sind
Die detaillierte Kursbeschreibung erläutert die technischen Konzepte und die Anwendung in realen Szenarien
Der Kurs verwendet JSON-Formate und Dokumentstrukturen, die in MongoDB weit verbreitet sind, was die Übertragbarkeit des Gelernten erhöht
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