Are you familiar with how to use AWS IoT Greengrass to create, manage, and deploy software to edge devices, but need help deciding when to process data at the edge or in the cloud? Do you want to better understand common use cases and how AWS IoT Greengrass can benefit you and your business?
This might be the curriculum for you! It includes three courses:
- AWS IoT Greengrass: Utilizing Data – Introduction to Processing Data
- AWS IoT Greengrass: Utilizing Data – Processing Data at the Edge
- AWS IoT Greengrass: Utilizing Data – Processing Data in the Cloud
This curriculum presents AWS IoT Greengrass v2 technology, factors that can help you determine whether to process data at the edge or in the cloud, and common use cases. In addition, high-level architecture solutions to specific use cases help illustrate key concepts.
- Curriculum level: Intermediate
- Duration: 1.25 hours
Activities
This curriculum includes presentations and assessments.
Curriculum objectives
In this curriculum, you will learn to:
- Describe the common factors that determine whether to process data at the edge or in the cloud
- Identify common AWS IoT Greengrass use cases for processing data at the edge
- Identify common AWS IoT Greengrass use cases for processing data in the cloud
- Outline technical AWS IoT Greengrass solutions to standard use cases (including architecture and technology options) to process data at the edge and in the cloud
- Describe AWS IoT stream manager’s use and functionality
Intended audience
This curriculum is intended for:
- Architects
- Developers
- Data engineers
Prerequisites
We recommend that attendees of this curriculum have:
- Conceptual knowledge of cloud computing
- Completed the Introduction to AWS IoT course
- Completed theAWS IoT Greengrass: Creating Deployments curriculum
Curriculum outline
AWS IoT Greengrass: Utilizing Data – Introduction to Processing Data
- Welcome
- Introduction to utilizing data
- Overview
- Scenario: Fish farm
- Scenario: Mobile robots
- Scenario: Storing data
AWS IoT Greengrass: Utilizing Data – Processing Data at the Edge
- Overview
- Building solutions at the edge
- Why store data at the edge?
- Technical overview of a use case
- Why perform tasks at the edge?
- Technical overview of a use case
AWS IoT Greengrass: Utilizing Data – Processing Data in the Cloud
- Overview
- Secure communication with the cloud
- Stream manager
- Managing device state and software
- Sending data to the cloud
- Data processing and visualization
- Fleet audits and monitoring
Course descriptions
AWS IoT Greengrass: Utilizing Data – Introduction to Processing Data
This course introduces the concepts of processing data at the edge and in the cloud. It describes the factors that influence where to process your data and presents different use cases. This course sets the foundation for other courses in the series that cover processing data at the edge and in the cloud in more detail.
AWS IoT Greengrass: Utilizing Data – Processing Data at the Edge
This course introduces scenarios that are suitable for processing data at the edge. It describes use cases and considerations for storing data at the edge and use cases that involve taking actions at the edge. The course presents two customer scenarios and sample solutions related to storing and taking action on data generated from edge devices.
AWS IoT Greengrass: Utilizing Data – Processing Data in the Cloud
This course covers scenarios that involve streaming data to the cloud when using AWS IoT Greengrass. It presents use cases that focus on edge devices communicating with the cloud for purposes such as collecting, analyzing, and processing data. It also includes sample architecture solutions for example use cases.
