Internet of Things (IoT) devices collect data to keep manufacturing plants running efficiently, manage operating conditions on factory floors, monitor homes and businesses, and more. Understanding how to gather this data and unlock the insights is an important aspect to any solution using Amazon Web Services (AWS).
In this course, you will learn about Amazon QuickSight, Amazon Timestream, Amazon Managed Grafana, and AWS IoT Analytics. You will develop a familiarization of how to analyze and visualize IoT device data using the AWS Cloud.
- Course level: Intermediate
- Duration: 45 minutes
Activities
This course includes the presentation of information, videos, and knowledge check questions.
Course objectives
In this course, you will learn to do the following:
- Explain ways that IoT data is collected and sent to the AWS Cloud directly or through an edge device.
- Compare when to use different AWS services to store IoT data.
- Describe some of the different AWS services used to analyze and visualize IoT data based on where the data is stored.
Intended audience
This course is intended for the following people:
- Data engineers
- Developers
- Solutions architects
Prerequisites
We recommend that attendees of this course have the following experience:
- Completed the Getting Started with AWS IoT course
- Completed the Securely Connecting AWS IoT Devices to the Cloud course
- Completed the Handling AWS IoT Device Data and States course
Course outline
Section 1: Course Introduction
- Lesson 1: How to Use This Course
- Lesson 2: Course Overview
- Lesson 3: Course Introduction
- Lesson 4: Deciding How to Use Your Device Data
Section 2: Analyzing, Visualizing, and Gaining Insights
- Lesson 5: Collecting and Ingesting IoT Device Data
- Lesson 6: Common Patterns for Processing IoT Device Data
- Lesson 7: Visualizing and Gaining Insights from IoT Device Data
Section 3: Wrap-up
- Lesson 8: Summary and Next Steps
- Lesson 9: Course Assessment
- Lesson 10: Contact Us
