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This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB.
Read more
This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB.
Read more
This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB.
This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Register for this course and see more details by visiting:
OpenCourser.com/course/vrpi7e/deep
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What's inside
Syllabus
Deep Dive into DocumentDB
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a deep dive into Amazon DocumentDB, catering to professionals and practitioners
Offers a comprehensive understanding of Amazon DocumentDB's capabilities and best practices for effective MongoDB workload management
Taught by AWS, which is recognized for its expertise in cloud computing and database management
Serves as a strong foundation for learners seeking to enhance their skills in database scaling and management
Save this course
Save Deep Dive into DocumentDB 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 Deep Dive into DocumentDB with these
activities:
Read a book on MongoDB basics
Show steps
To fully grasp Amazon DocumentDB, it helps to have a solid understanding of MongoDB. Reading a book like MongoDB: The Definitive Guide will provide you with a comprehensive overview of MongoDB fundamentals and prepare you for success in this course.
View
MongoDB: The Definitive Guide
on Amazon
Show steps
-
Understand MongoDB's data model and query language.
-
Explore MongoDB's indexing and replication mechanisms
-
Gain insights into MongoDB's performance optimization techniques
Review scaling techniques for distributed databases
Show steps
Review the scaling techniques for distributed databases that you may have covered in prior courses or in past professional experience. This will help you refresh your memory and ensure you're ready to dive deeper into Amazon DocumentDB's capabilities.
Browse courses on
Database Scaling
Show steps
-
Identify core concepts of horizontal and vertical scaling
-
Review the pros and cons of each scaling technique
-
Explore common scaling challenges and how to address them
Follow a tutorial on setting up an Amazon DocumentDB cluster
Show steps
Hands-on experience is invaluable when it comes to learning about Amazon DocumentDB. Following a guided tutorial will help you set up your own DocumentDB cluster, giving you a practical understanding of the process.
Show steps
-
Follow step-by-step instructions to create an Amazon DocumentDB cluster
-
Configure security settings and connect to your cluster
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create and manage tables using the Mongo shell
Show steps
To work effectively with Amazon DocumentDB, you need to master the Mongo shell. Practice creating and managing tables using the Mongo shell commands will help you gain proficiency.
Show steps
-
Use commands to create, read, update, and delete tables
-
Perform basic CRUD operations on documents
-
Practice indexing and querying techniques
Mentor a junior developer who is new to Amazon DocumentDB
Show steps
Sharing your knowledge with others is a great way to reinforce your understanding. Mentoring a junior developer can help you identify areas where you need further improvement.
Show steps
-
Identify a mentee who is eager to learn about Amazon DocumentDB
-
Share your knowledge and experience through pair programming, code reviews, and discussions
-
Provide guidance and support as your mentee navigates the learning process
Design a database schema for a real-world application
Show steps
To truly test your understanding of Amazon DocumentDB, try designing a database schema for a real-world application. This will force you to think critically about data modeling and apply your knowledge in a practical context.
Show steps
-
Identify the requirements of your application
-
Conceptualize the data model using ER diagrams or other techniques
-
Implement your schema in Amazon DocumentDB
-
Evaluate and refine your schema based on testing and feedback
Participate in a hackathon focused on Amazon DocumentDB
Show steps
If you're feeling particularly ambitious, consider participating in a hackathon focused on Amazon DocumentDB. This will give you the opportunity to apply your skills in a competitive environment and collaborate with other developers.
Show steps
-
Find a hackathon that aligns with your interests
-
Form a team or work independently
-
Develop a creative solution using Amazon DocumentDB
-
Present your solution to a panel of judges
Read a book on MongoDB basics
Show steps
To fully grasp Amazon DocumentDB, it helps to have a solid understanding of MongoDB. Reading a book like MongoDB: The Definitive Guide will provide you with a comprehensive overview of MongoDB fundamentals and prepare you for success in this course.
View
MongoDB: The Definitive Guide
on Amazon
Show steps
Show steps
Show steps
- Understand MongoDB's data model and query language.
- Explore MongoDB's indexing and replication mechanisms
- Gain insights into MongoDB's performance optimization techniques
Review scaling techniques for distributed databases
Show steps
Review the scaling techniques for distributed databases that you may have covered in prior courses or in past professional experience. This will help you refresh your memory and ensure you're ready to dive deeper into Amazon DocumentDB's capabilities.
Browse courses on
Database Scaling
Show steps
Show steps
Show steps
- Identify core concepts of horizontal and vertical scaling
- Review the pros and cons of each scaling technique
- Explore common scaling challenges and how to address them
Follow a tutorial on setting up an Amazon DocumentDB cluster
Show steps
Hands-on experience is invaluable when it comes to learning about Amazon DocumentDB. Following a guided tutorial will help you set up your own DocumentDB cluster, giving you a practical understanding of the process.
Show steps
Show steps
Show steps
- Follow step-by-step instructions to create an Amazon DocumentDB cluster
- Configure security settings and connect to your cluster
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create and manage tables using the Mongo shell
Show steps
To work effectively with Amazon DocumentDB, you need to master the Mongo shell. Practice creating and managing tables using the Mongo shell commands will help you gain proficiency.
Show steps
Show steps
Show steps
- Use commands to create, read, update, and delete tables
- Perform basic CRUD operations on documents
- Practice indexing and querying techniques
Mentor a junior developer who is new to Amazon DocumentDB
Show steps
Sharing your knowledge with others is a great way to reinforce your understanding. Mentoring a junior developer can help you identify areas where you need further improvement.
Show steps
Show steps
Show steps
- Identify a mentee who is eager to learn about Amazon DocumentDB
- Share your knowledge and experience through pair programming, code reviews, and discussions
- Provide guidance and support as your mentee navigates the learning process
Design a database schema for a real-world application
Show steps
To truly test your understanding of Amazon DocumentDB, try designing a database schema for a real-world application. This will force you to think critically about data modeling and apply your knowledge in a practical context.
Show steps
Show steps
Show steps
- Identify the requirements of your application
- Conceptualize the data model using ER diagrams or other techniques
- Implement your schema in Amazon DocumentDB
- Evaluate and refine your schema based on testing and feedback
Participate in a hackathon focused on Amazon DocumentDB
Show steps
If you're feeling particularly ambitious, consider participating in a hackathon focused on Amazon DocumentDB. This will give you the opportunity to apply your skills in a competitive environment and collaborate with other developers.
Show steps
Show steps
Show steps
- Find a hackathon that aligns with your interests
- Form a team or work independently
- Develop a creative solution using Amazon DocumentDB
- Present your solution to a panel of judges
Career center
Learners who complete Deep Dive into DocumentDB will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
A key responsibility of a Data Architect is to manage the architecture of big data systems, which may include the integration of Amazon DocumentDB. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Data Scientist
Data Scientist
Many Data Scientists work with Amazon DocumentDB to manage large sets of data. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Database Administrator
Database Administrator
A Database Administrator's main task is to keep databases running smoothly, which can include work with Amazon DocumentDB. This course can help you to build a foundation for working with Amazon DocumentDB and managing databases. This course introduces the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Software Engineer
Software Engineer
Some Software Engineers choose to specialize in database management and may work extensively with Amazon DocumentDB. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems, which may include the use of Amazon DocumentDB. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
DevOps Engineer
DevOps Engineer
DevOps Engineers may work with Amazon DocumentDB to automate the deployment and management of applications. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Database Manager
Database Manager
Database Managers are responsible for overseeing the performance of databases, which may include Amazon DocumentDB. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Data Engineer
Data Engineer
Data Engineers may use Amazon DocumentDB to build and manage data pipelines. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Cloud Engineer
Cloud Engineer
Cloud Engineers may work with Amazon DocumentDB to design and manage cloud computing systems. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
IT Manager
IT Manager
IT Managers may be responsible for overseeing the use of Amazon DocumentDB within an organization. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Systems Administrator
Systems Administrator
Systems Administrators may be responsible for managing Amazon DocumentDB. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Business Analyst
Business Analyst
Business Analysts may use Amazon DocumentDB to gain insights from data. This course introduces the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Product Manager
Product Manager
Product Managers may work with Amazon DocumentDB to develop and manage database products. This course introduces you to the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
Data Analyst
Data Analyst
Data Analysts may use Amazon DocumentDB to analyze large amounts of data. This course introduces the fully managed document database service that supports MongoDB workloads, Amazon DocumentDB. In this course, we discuss the different challenges of database scaling. The course further explains the core Amazon DocumentDB capabilities, how it is used with MongoDB and its best practices.
For more career information including salaries, visit:
OpenCourser.com/course/vrpi7e/deep
Reading list
We've selected six 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
Deep Dive into DocumentDB.
Save
Is recommended for those who want to learn more about MongoDB. This book comprehensive guide to MongoDB, covering everything from installation and configuration to advanced topics such as replication and sharding. Readers can strengthen their understanding of MongoDB after reading this book, and the book also serves as a good reference book thanks to its in-depth content.
Save
This practical guide provides hands-on examples and case studies of MongoDB use. It covers topics such as data modeling, aggregation, and performance tuning. great resource for those who want to learn how to build real-world MongoDB applications.
Provides a comprehensive guide to data modeling for MongoDB. It covers topics such as data normalization, schema design, and indexing. This book valuable resource for those who want to design efficient and scalable MongoDB schemas.
Introduces design patterns for MongoDB and can be used as a reference guide by architects and developers who work with MongoDB. The book covers various patterns and provides best practices for implementing them.
Save
Provides a comprehensive overview of designing and building data-intensive applications. It covers topics such as data modeling, storage systems, query processing, and scalability. This book valuable resource for those who want to build scalable and efficient data-driven applications including those running on platforms like DocumentDB.
Provides a whirlwind tour of seven different NoSQL databases. It covers topics such as data modeling, query processing, and performance. This book great way to get a quick overview of different NoSQL databases, including MongoDB.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/vrpi7e/deep
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Time
14 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Provides a deep dive into Amazon DocumentDB, catering to professionals and practitioners
Offers a comprehensive understanding of Amazon DocumentDB's capabilities and best practices for effective MongoDB workload management
Taught by AWS, which is recognized for its expertise in cloud computing and database management
Serves as a strong foundation for learners seeking to enhance their skills in database scaling and management
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