Course Content


 
Course level

All-levels

Duration

> 2 hours of videos


Last update

October 16, 2021


Description

Processing, storing and visualizing time series data is getting more and more important. From IoT data, system logs to process statistics, the need for handling all this information is ever growing.

Systems like time series databases and interactive dashboards help make all this data manageable and explorable. Two prime examples that you see used all the time are InfluxDB and Grafana. InfluxDB for storing the data and Grafana for visualizing the stored information.


What will I learn in this project

In this course you learn how to process time series data from CSV files containing air quality data.

You are also going to use an external weather API to extract and bring in live weather data.

You will learn how to write data into influxDB 2.0 and read data from InfluxDB using Python and Flux query language.

For visualization you are going to learn how to use Grafana dashboards, where you setup the server, configure dashboards and setup the user management.

´╗┐What's included?
  • Videos
  • Prepared source codes
  • Web Links
Requirements
  • Data platform design basics (included in Academy)
  • Relational databases bascis (in Fundamentals course)

Course Curriculum


  Introduction
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  Schema Design
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  Environment setup
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  Working with test data
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  Working with air quality data
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  Working with external Weather API
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  Grafana Dashboards
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  Summary
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