team-data-science / aws-data-engineering

Course Material Data Engineering on AWS Course

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Title Of Your Project

Add a catchy title to your project. Something that people immediately know what you are doing

Introduction & Goals

  • Introduce your project to the reader
  • Orient this section on the Table of contents
  • Write this like an executive summary
    • With what data are you working
    • What tools are you using
    • What are you doing with these tools
    • Once you are finished add the conclusion here as well

Contents

The Data Set

  • Explain the data set
  • Why did you choose it?
  • What do you like about it?
  • What is problematic?
  • What do you want to do with it?

Used Tools

  • Explain which tools do you use and why
  • How do they work (don't go too deep into details, but add links)
  • Why did you choose them
  • How did you set them up

Connect

Buffer

Processing

Storage

Visualization

Pipelines

  • Explain the pipelines for processing that you are building
  • Go through your development and add your source code

Stream Processing

Storing Data Stream

Processing Data Stream

Batch Processing

Visualizations

Demo

  • You could add a demo video here
  • Or link to your presentation video of the project

Conclusion

Write a comprehensive conclusion.

  • How did this project turn out
  • What major things have you learned
  • What were the biggest challenges

Follow Me On

Add the link to your LinkedIn Profile

Appendix

Markdown Cheat Sheet

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Course Material Data Engineering on AWS Course


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