Use Case Accelerators > DMX-h Use Case Accelerator: Fraud Detection

DMX-h Use Case Accelerator: Fraud Detection

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Syncsort has provided a set of use case accelerators (UCAs) to help users understand how to implement DMX-h ETL solutions in a Hadoop MapReduce framework.

The Fraud Detection use case accelerator demonstrates how to perform debit card fraud detection. It reads transaction data from an Apache Kafka topic, joins it against cardholder data, and writes potentially fraudulent transactions to another Kafka topic, and valid transactions to a Hive table.


The following attachments are available for understanding and running this UCA:

Additional Information

See the Guide to DMX-h ETL Use Case Accelerators for an overview of how the set of use case accelerators are organized and how to run them.

For general guidance on developing and running DMX-h ETL solutions, see Developing DMX-h ETL Jobs and Running DMX-h ETL Jobs in the DMExpress Help.

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