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Data Sources: Implementing Edge on the Cloud

Data Sources: Implementing Edge on the Cloud


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

To become proficient in data science, you have to understand edge computing. This is where data is processed near the source or at the edge of the network while in a typical cloud environment, data processing happens in a centralized data storage location. In this course you will explore the implementation of IoT on prominent cloud platforms like AWS and GCP. Discover how to work with IoT Device Simulator and generate data streams using MQTT.



Expected Duration (hours)
0.5

Lesson Objectives

Data Sources: Implementing Edge on the Cloud

  • identify the approaches and the steps involved in setting up AWS IoT Greengrass
  • recognize the essential components of GCP IoT Edge
  • connect a web application to AWS IoT using MQTT over WebSockets
  • demonstrate the essential approaches of using IoT Device Simulator
  • generate streams of weather data using the MQTT messaging protocol
  • create a device type, a user, and a device using IoT Device Simulator
  • Course Number:
    it_dsidsedj_02_enus

    Expertise Level
    Intermediate