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Achieving Data Observability in Airflow Hands-On Learning Workshop

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Databand Fivetran Workshop

Table of Contents

  1. Before You Begin
  2. Fivetran
  3. Apache Airflow
  4. Running your first DAG
  5. Integrate Databand with Apache Airflow
  6. Observability: Creating Action from Error

Getting Started

This is a companion repository for the Achieving Data Observability in Apache Airflow, sponsored by Fivetran and Databand.ai.

While all executions will occur on cloud-hosted infrastructure provided for you, we recommend creating a local copy of the repository; allowing you to work at your own pace, create your own branch for edits, or even incorporate new ideas of your own.

Not a git expert? No problem! Feel free to follow along with the guides in your browser and only download single files as needed.

To clone locally, follow these steps:

  1. Open a new terminal/eMacs/iTerm/PowerShell/command prompt window
  2. Navigate to a directory you can easily find again in the future
    • Something like ~/git/, ~/Desktop/git/, or C:\Users\{{username}}\Desktop\git
  3. Run the following command to create a local copy of this repo
    • git clone https://github.com/databand-ai/DatabandFivetranWorkshop.git && cd DatabandFivetranWorkshop/
  4. That's it! You're off to the races. Follow the link below to the first guide

Next Steps

Fivetran

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