Getting Started with HAQM DocumentDB (with MongoDB compatibility)
Onboarding Guides
Developer Resources
DEVELOPER GUIDE
Document databases are used for storing semistructured data as a document. Learn more about use cases, and working with documents.
DEVELOPER GUIDE
Review the high-level features of this document database, including clusters and instances, as well as pricing and interfaces.
DEVELOPER GUIDE
Before using HAQM DocumentDB, you should review the key concepts and features.
DEVELOPER FORUM
Get plugged into the developer community as you are getting started with HAQM DocumentDB. Browse recent discussions, or ask your own question to get answers from AWS experts.
Training Courses
Get hands-on with HAQM DocumentDB. Leverage these free trainings and tutorials to get the most out of your database service. These resources will walk you through getting started, performance tuning, and data modeling.
Getting Started with HAQM DocumentDB
Discover the fundamentals and advantages of HAQM DocumentDB in this step-by-step tutorial. With the help of a demonstration utilizing the AWS Management Console and AWS Command Line Interface (AWS CLI), you will cover how to get started with HAQM DocumentDB. Additionally, you will learn about the native architecture and how built-in tools provide scalability and workload management for document databases.
Performance Tuning on HAQM DocumentDB
Learn about the tools and best practices that can be used to optimize and boost the performance of your clusters of HAQM DocumentDB (with MongoDB compatibility) in this step-by-step training course. You will discover how to construct your HAQM DocumentDB database for maximum speed by keeping an eye on important metrics and resolving the most frequent problems.
Data Modeling for HAQM DocumentDB
Data modeling is essential for effectively addressing business needs while creating databases. You will study the foundational ideas and best practices for modeling your data using HAQM DocumentDB in this step-by-step training course. You will look at three examples of modeling or organizing your data for different purposes and carry out quick decision-making tasks to satisfy a potential application need.