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= Credit Card Fraud Detection Demo | ||
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Currently, this use case is a demo rather than a workshop. You can quickly deploy the demo implementation and demo or play around with it. | ||
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There's no step-by-step instructions on how to build this, _yet_. If you are willing to contribute with the workshop content this will be greatly appreciated. Please get in touch. | ||
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== Preparation | ||
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This demo uses link:https://account.mapbox.com/[MapBox] to show the distribution of fraud occurrences on an interactive map. | ||
To enable this a MapBox token is required so that Cloudera DataViz can connect to the MapBox service. | ||
If you don't yet have a token, click on the MapBox link above, sign up for free and create a token for yourself. | ||
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To deploy the demo please SSH to your cluster host and run the following command: | ||
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NOTE: The command below will undo everything done in the cluster in previous workshops. | ||
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[source,shell] | ||
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MAPBOX_TOKEN=<your_mapbox_token> /tmp/resources/reset-to-lab.sh fraud 99 | ||
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== Demo points | ||
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After the demo is deployed you can browse the different components of the use implementation in the following UIs: | ||
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* *NiFi* - Generate fake transaction data, processes it and forward it to Kafka and Kudu | ||
* *Kafka/SMM* - Browse data in Kafka topics | ||
* *Hue* - Browse data in Kudu tables | ||
* *SSB/Flink* - Check real-time streaming jobs | ||
* *CDSR/DataViz* - Browse the Fraud dashboard and datasets |