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This course introduces you to Amazon DocumentDB (with MongoDB compatibility), the AWS service that provides non-relational document databases.

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This course introduces you to Amazon DocumentDB (with MongoDB compatibility), the AWS service that provides non-relational document databases.

This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and be introduced to important terminology and technology concepts. The course includes a demonstration of Amazon DocumentDB and provides an assessment to help you gauge how well you understand the concepts covered.

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What's inside

Syllabus

Amazon DocumentDB Service Primer

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills for using a database service compatible with MongoDB
Teaches database concepts that are standard in the cloud computing industry
Taught by AWS instructors, who are recognized for developing and maintaining Amazon DocumentDB

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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 Amazon DocumentDB Service Primer with these activities:
Review SQL
Review basic SQL skills before taking Amazon DocumentDB (with MongoDB Compatibility).
Browse courses on SQL
Show steps
  • Review SQL syntax
  • Practice writing SQL queries
MongoDB Tutorial
Complete a MongoDB tutorial to familiarize yourself with the basics before taking Amazon DocumentDB (with MongoDB Compatibility).
Show steps
  • Follow a beginner-friendly MongoDB tutorial
  • Practice writing MongoDB queries
MongoDB: The Definitive Guide
Read a book on MongoDB, a popular NoSQL database, to understand its core concepts before taking Amazon DocumentDB (with MongoDB Compatibility).
Show steps
  • Read the first few chapters of the book
  • Refer to the book as needed while taking the course
Five other activities
Expand to see all activities and additional details
Show all eight activities
Amazon DocumentDB Tutorial
Complete an Amazon DocumentDB tutorial to familiarize yourself with its features and capabilities before taking the course.
Show steps
  • Follow a beginner-friendly Amazon DocumentDB tutorial
  • Practice creating and managing databases
Create a MongoDB Database
Create a MongoDB database to practice your skills and solidify your understanding of Amazon DocumentDB (with MongoDB Compatibility).
Show steps
  • Follow a tutorial on creating a MongoDB database
  • Create a simple database with a few collections and documents
MongoDB Practice Exercises
Practice your MongoDB skills by completing exercises and challenges continuously with the Amazon DocumentDB (with MongoDB Compatibility) course.
Show steps
  • Find online MongoDB practice exercises
  • Complete as many exercises as possible
Create an Amazon DocumentDB Cluster
Create an Amazon DocumentDB cluster to practice your skills and solidify your understanding of Amazon DocumentDB (with MongoDB Compatibility).
Show steps
  • Follow a tutorial on creating an Amazon DocumentDB cluster
  • Create a cluster with a few nodes
Amazon DocumentDB Practice Exercises
Practice your Amazon DocumentDB skills by completing exercises and challenges continuously with the Amazon DocumentDB (with MongoDB Compatibility) course.
Show steps
  • Find online Amazon DocumentDB practice exercises
  • Complete as many exercises as possible

Career center

Learners who complete Amazon DocumentDB Service Primer will develop knowledge and skills that may be useful to these careers:
Data Architect
A Data Architect designs and manages data systems. They ensure that data is organized and accessible in a way that meets the needs of the business. This course can help you build a foundation in data architecture concepts and technologies, which are essential for success as a Data Architect. You will learn about the different types of data systems, how to design and implement data architectures, and how to manage and monitor data systems.
Database Developer
A Database Developer designs and develops database systems. They work with database administrators to ensure that databases are secure, reliable, and scalable. This course can help you build a foundation in database development concepts and technologies, which are essential for success as a Database Developer. You will learn about the different types of databases, how to design and develop database systems, and how to manage and monitor databases.
Database Administrator
A Database Administrator (DBA) manages and maintains databases. They ensure that databases are running smoothly, data is secure, and users have access to the data they need. This course can help you build a foundation in database administration concepts and technologies, which are essential for success as a DBA. You will learn about the different types of databases, how to design and implement database systems, and how to manage and monitor databases.
Business Analyst
A Business Analyst analyzes business processes to identify areas for improvement. They use data to make recommendations and solve business problems. This course can help you build a foundation in business analysis concepts and technologies, which are essential for success as a Business Analyst. You will learn about the different types of business analysis techniques, how to collect and analyze data, and how to make recommendations.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They ensure that software applications are secure, reliable, and scalable. This course can help you build a foundation in software engineering concepts and technologies, which are essential for success as a Software Engineer. You will learn about the different types of software applications, how to design and develop software applications, and how to manage and monitor software applications.
Data Analyst
A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. They use data to make recommendations and solve business problems. This course can help you build a foundation in data analysis concepts and technologies, which are essential for success as a Data Analyst. You will learn about the different types of data analysis techniques, how to collect and clean data, and how to analyze data.
Product Manager
A Product Manager manages the development and launch of products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. This course can help you build a foundation in product management concepts and technologies, which are essential for success as a Product Manager. You will learn about the different stages of product development, how to manage a product team, and how to launch a product.
Cloud Architect
A Cloud Architect designs, builds, and maintains cloud computing systems. They ensure that these systems are secure, reliable, and scalable. This course can help you build a foundation in cloud computing concepts and technologies, which are essential for success as a Cloud Architect. You will learn about the different types of cloud services, how to design and deploy cloud applications, and how to manage and monitor cloud infrastructure.
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing systems. They ensure that these systems are secure, reliable, and scalable. This course can help you build a foundation in cloud computing concepts and technologies, which are essential for success as a Cloud Engineer. You will learn about the different types of cloud services, how to design and deploy cloud applications, and how to manage and monitor cloud infrastructure.
Technical Writer
A Technical Writer creates and maintains documentation for technical products. They work with engineers and other technical staff to ensure that documentation is accurate, clear, and concise. This course can help you build a foundation in technical writing concepts and technologies, which are essential for success as a Technical Writer. You will learn about the different types of technical documentation, how to write technical documentation, and how to manage technical documentation.
Systems Engineer
A Systems Engineer designs, builds, and maintains computer systems. They ensure that computer systems are secure, reliable, and scalable. This course can help you build a foundation in systems engineering concepts and technologies, which are essential for success as a Systems Engineer. You will learn about the different types of computer systems, how to design and build computer systems, and how to manage and monitor computer systems.
Project Manager
A Project Manager plans, executes, and closes projects. They work with stakeholders to ensure that projects are completed on time, within budget, and to meet the desired quality standards. This course can help you build a foundation in project management concepts and technologies, which are essential for success as a Project Manager. You will learn about the different stages of project management, how to manage a project team, and how to close a project.
Quality Assurance Analyst
A Quality Assurance Analyst tests software applications to identify and fix defects. They work with developers to ensure that software applications meet the desired quality standards. This course can help you build a foundation in quality assurance concepts and technologies, which are essential for success as a Quality Assurance Analyst. You will learn about the different types of quality assurance testing, how to test software applications, and how to report and fix defects.
Data Scientist
A Data Scientist uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. This course can help you build a foundation in data science concepts and technologies, which are essential for success as a Data Scientist. You will learn about the different types of data science techniques, how to collect and clean data, and how to analyze data.
Machine Learning Engineer
A Machine Learning Engineer designs and develops machine learning models. They use data to train models that can make predictions or classifications. This course can help you build a foundation in machine learning concepts and technologies, which are essential for success as a Machine Learning Engineer. You will learn about the different types of machine learning models, how to train and evaluate machine learning models, and how to deploy machine learning models.

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 Amazon DocumentDB Service Primer.
This comprehensive guide to MongoDB provides a solid foundation in the concepts and practices of using MongoDB. It covers everything from data modeling to performance tuning, making it a valuable resource for both beginners and experienced users.
Dives deep into the concepts, features, and capabilities of MongoDB, including a comprehensive overview of the core concepts and how to use MongoDB effectively. It serves as a valuable reference for both beginners and experienced MongoDB users.
This practical guide focuses on building real-world MongoDB applications. It includes step-by-step instructions, code examples, and best practices for designing, developing, and deploying MongoDB applications.
Provides a deep dive into the internals of databases, including MongoDB. It covers topics such as storage engines, indexing, and query optimization.
Provides a broader perspective on data-intensive applications, including discussions on data modeling, data storage, and distributed systems. It helps readers understand the principles behind database design and how to apply them in real-world scenarios.
Provides guidance on performance tuning for MongoDB, a useful reference for those seeking more advanced and in-depth knowledge.
Provides a concise overview of NoSQL databases. It covers the basics of NoSQL, such as data modeling, querying, and performance optimization.
This beginner-friendly guide provides a gentle introduction to MongoDB. It covers the basics of MongoDB, such as data modeling, querying, and aggregation.
This concise guide provides a quick overview of MongoDB. It covers the basics of MongoDB, such as data modeling, querying, and aggregation.
Serves as a quick and concise reference for MongoDB commands, syntax, and features. It provides easy access to essential information and can be a useful companion for both beginners and experienced MongoDB users.

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