Dockerized ETL With AWS, TDengine & Grafana
Course description
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What you will learn
The Basics of Temporal Databases
You will get acquainted with the basics of working with temporal databases, their architecture, and use cases.
Working with a Public Weather API
You will set up and explore an external weather API, and write a Python script to read data from the API.
Docker ETL on AWS
You will package the script into a Docker container and deploy it as a serverless ETL using Amazon Elastic Container Registry (ECR), Lambda, and EventBridge.
TDengine Setup
You will get familiar with TDengine, set up an instance via the TDengine cloud and configure the database.
Data Visualization in Grafana
You will visualize data from the API stored in TDengine using Grafana. You’ll learn how to connect TDengine to Grafana and create a dashboard for data analysis.
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All Course Lessons (16)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Quick note from Andreas before you begin Demo | 00:44 | |
| 2 | Introduction | 01:27 | |
| 3 | Setup Of The Project | 02:53 | |
| 4 | Time Series Data Basics | 02:21 | |
| 5 | Big Pros Of Timeseries Databases | 02:07 | |
| 6 | About TDengine | 01:23 | |
| 7 | Setup Weather API | 01:05 | |
| 8 | Code query API | 02:42 | |
| 9 | TDengine Setup | 03:05 | |
| 10 | Connect Python To TDengine | 01:51 | |
| 11 | Lambda Docker Container & Push To ECR | 01:56 | |
| 12 | AWS Setup | 01:37 | |
| 13 | Create Lambda Function Using Docker image | 01:05 | |
| 14 | Schedule Function With EventBridge | 01:26 | |
| 15 | Cloud Watch Lambda Events | 00:28 | |
| 16 | Grafana Setup | 03:02 |
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