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Fraud Structured Streaming Proofshop

This is a guide for how to use the Fraud Structured Streaming Proofshop brought to you by the DataStax field team. WARNING Don't try to run this with the default m3.xlarge node type-it won't work!!! Use an m3.2xlarge to be successful.

Motivation

The Fraud Structured Streaming Proofshop is a targeted event to prove structured streaming capability within DSE and demonstrate that prospect can use this for their own use cases.

What is included?

A Powerpoint presentation will walk the prospect through DSE Spark Structured Streaming and the use case.

Business Take Aways

DataStax enables immediate, real-time fraud detection.

DataStax-powered solutions deliver a highly personalized, responsive, and consistent experience whatever the channel, location, or volume of customers and transactions. Customers will have an engaging experience that drives customer satisfaction and advocacy, which translates to increased brand loyalty and revenue growth.

Technical Take Aways

WARNING Don't try to run this with the default m3.xlarge node type-it won't work!!! Use an m3.2xlarge to be successful.

Understand how spark structured streaming allows real-time decision making in an easy-to-create and easy-to-maintain Spark Dataset environment. Paralleling the transition from RDDs to Datasets, streaming has gone from complex DStreams to easy-to-use Structured Streaming. The combination of structured streaming with DataStax allows joining streams and cassandra tables to do real-time analytics. Key technical note: the stream receives a refreshed copy of any joined cassandra tables on each stream window refresh.

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