Learn how to create a Lambda Architecture IoT project. Stream data from sensors to an IoT Database to web apps
Free tutorial
5.0
Created by Israel Imru
English
English [Auto]
What you’ll learn
- Learn about the technology stack for building an IoT web app
- Learn about the recommended data storage for storing IoT data
- Learn how to visualize and create an Iot web app with nodejs
- How to run various technologies in unison with docker compose
Requirements
- No programming experience needed. You will learn everything you will need to know
Description
This course aims to teach you about building an IoT platform with a real-life, hands-on project!
We will begin by utilizing GridDB to create an IoT project which will simulate data from IoT Sensors, stream that data through Kafka, sent to GridDB, and then utilized in a variety of ways, including a real-time data visualizer. The data visualizer will be made up from node.js.
In the first parts of the course, we will delve into what Docker is and how it ties into this project; in our case, we have containerized all different aspects of the project to be able to easily share everything, with the added benefit of teaching more about using docker in conjunction with Kafka, GridDB, Jupyter Notebook, etc.
Next, we will talk about Kafka (outside of the context of Docker), what it is, what it does, and how it ties into ours and other IoT projects’ workflows. In our case, Kafka handles data streaming from sensors to GridDB, adding reliability, stability, and robustness. From there, we talk about how to build a small python script to be simulate an IoT gateway, which teaches how to send data from somewhere, through Kafka and finally through to GridDB.
After that, we go through and discuss using java to code an bill report-generation application which pulls all data from our database. Next up is data visualization: we will introduce the GERN stack and show you how to query data from GridDB using nodejs to create real-time data charts.
And lastly we will showcase using Python and jupyter to do some data analysis of your GridDB data.
Who this course is for:
- Developers interested in IoT or data analysis or learning new databases
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Course content
8 sections • 16 lectures • 1h 46m total lengthCollapse all sections
Introduction1 lecture • 1min
- Introduction01:03
Prerequisites, Docker, and Overview3 lectures • 18min
- Docker Overview10:18
- Resources00:20
- Running Docker and Docker Compose Hands-On07:38
Data Persistence – GridDB2 lectures • 13min
- GridDB’s Merits09:54
- Installing and Using GridDB03:32
Data Streaming – Kafka2 lectures • 15min
- Kafka Overview08:56
- Kafka Hands-On05:40
Gateway Simulator2 lectures • 12min
- Gateway Simulator Introduction07:51
- Gateway Simulator Hands-On04:32
Bill Job2 lectures • 11min
- How to build a bill- report generation java application using GridDB07:06
- Bill Job Hands-On04:04
Data Visualization with GERN Stack2 lectures • 21min
- What is the GERN Stack15:07
- GERN Stack Hands-On05:31
Data Analysis with Python and GridDB2 lectures • 15min
- Data Analysis with GridDB and Python04:36
- Data Analysis Hands-On10:21
