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