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Apache Hadoop is the ideal platform for AML because it augments all of the core functions of a specialized system to better handle big data: data collection, data preparation, automated evaluation, model building, and investigation. The modern AML architecture is fully integrated with an enterprise data hub, with Hadoop initially staging massive complex data for legacy solutions to provide runtimes for the predictive models and perform the actual fraud detection. Beyond the introductory use case of more expansive and affordable storage, Hadoop’s natural fit for backtesting against long-term descriptive data is gaining popularity for more advanced AML workloads, as is the use of other components in the Hadoop stack for exploration, discovery, investigation, and forensics.