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Digital fraud affects so many organizations. In this demo, you'll learn the components of a real-time fraud detection system, and how to build one with Tinybird.
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tinybirdco/fraud-detection-demo
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Example application for real-time fraud detection using Tinybird.
- Setup your Tinybird account
Click this button to deploy the data project to Tinybird 👇
Follow the guided process, and your Tinybird workspace is now ready to start receiving events.
- Setup this repository locally
git clone https://github.com/tinybirdco/fraud-detection-demo.gitcd fraud-detection-demo
- Install dependencies
npm install
- Install and configure the Tinybird CLI
To start working with data projects as if they were software projects, First, install the Tinybird CLI in a virtual environment.You'll need python3 installed.
Check theTinybird CLI documentation for other installation options and troubleshooting tips.
python3 -mvenv .e. .e/bin/activatepip install tinybird-clitb auth --interactive
Choose your region: 1 forus-east
, 2 foreu
. A new.tinyb
file will be created.
Go tohttps://ui.tinybird.co/tokens and copy the token with admin rights.
Once you have successfully authenticated with Tinybird, you can run the following to upload the pipes to your Tinybird workspace.
tb push --no-check
- Start sending data to Tinybird with Mockingbird. Check theMockingbird CLI documentation for other installation, options and troubleshooting. Note, that you will need to paste in your Tinybird token.
mockingbird-cli tinybird --datasource=transactions --token=[PASTE_YOUR_TOKEN_FROM_TINYBIRD] --endpoint=eu_gcp --schema='schema.json' --eps 100
- Go to yourTinybird workspace and check the data is flowing.
Need help?:Community Slack •Tinybird Docs •Email
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Digital fraud affects so many organizations. In this demo, you'll learn the components of a real-time fraud detection system, and how to build one with Tinybird.
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