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ATM Fraud Detection with Apache Kafka and KSQL

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Alice R. and Ale M.
ATM Fraud Detection with Apache Kafka and KSQL

Details

Join us for an Apache Kafka meetup on December 10th from 6:30pm at Kap Europa. The address, agenda and speaker information can be found below. See you there!

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Agenda:
6:30pm: Doors open
6:30pm - 7:00pm: Networking, Pizza and Drinks
7:00pm - 8:00pm: Robin Moffatt, Confluent
8:00pm - 8:30pm: Additional Q&A and Networking

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Speaker:

Robin Moffatt

Bio:
Robin is a Developer Advocate at Confluent, the company founded by the creators of Apache Kafka, as well as an Oracle ACE Director and Developer Champion. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop, and into the current world with Kafka. His particular interests are analytics, systems architecture, performance testing and optimization. He blogs at http://cnfl.io/rmoff and http://rmoff.net/ (and previously http://ritt.md/rmoff) and can be found tweeting grumpy geek thoughts as @rmoff. Outside of work he enjoys drinking good beer and eating fried breakfasts, although generally not at the same time.

Title:
ATM Fraud Detection with Apache Kafka and KSQL

Abstract:
Detecting fraudulent activity in real time can save a business significant amounts of money, but has traditionally been an area requiring a lot of complex programming and frameworks, particularly at scale. Using KSQL, it's possible to use just SQL to build scalable real-time applications.

In this talk, we'll look at what KSQL is, and how its ability to join streams of events can be used to detect possibly fraudulent activity based on a stream of ATM transactions. We'll also see how easy it is to integrate Kafka with other systems—both upstream and downstream—using Kafka Connect to stream from a database into Kafka, and from Kafka into Elasticsearch.

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Don't forget to join our Community Slack Team! https://launchpass.com/confluentcommunity

If you would like to speak or host our next event please let us know! community@confluent.io

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