Capital One’s Evaluation of Stream Processing Platforms for Threat Detection
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Capital One’s Evaluation of Stream Processing Platforms for Threat Detection
Join us at the Capital One Office in Chicago, where the Capital One Vault 8 team will take us through their investigation of a large set of platforms for real-time streaming. We will learn how they evaluated these technologies for their streaming use case, ultimately selecting Apache Apex.
The main presenter will be IIya Ganelin, a Data Engineer at Capital One who will walk us through his team’s innovation and modernization of an aging core decisioning system inside Capital One’s architecture, which has served Capital One for many years
With growing access to modern technology, social media and new tools, the threat landscape has become more sophisticated and dynamic than ever before. Financial services institutions must revolutionize to keep up with the ever changing threat landscape, necessitating the latest and greatest technologies to drive the most favorable business and consumer outcomes. More than ever, there’s a fundamental need for dynamic and flexible machine learning powered by huge amounts of data in a real-time distributed environment. To tackle this challenge, the Vault 8 team launched a thorough investigation of available technologies with a focus on the business goals and requirements. This talk will present their findings, with an intimate journey into how requirements ultimately translate into technology selection, and of course, some fantastic results!
lya will be supported by Gopal Raghavan from DataTorrent to provide more details on the Apex unified architecture for batch and stream processing, how to create an Apex application, and how Apex delivers enterprise-grade ease of use, ease of operability, and ease of management.
Apache Apex (http://apex.incubator.apache.org/) is an open source stream processing platform incubating at the Apache Software foundation. Apex was architected for scalability and low-latency processing, high availability and operability. Its pipeline processing architecture can be used for real-time and batch processing in a unified architecture. Apex was also designed to run natively on YARN and HDFS within the Hadoop ecosystem.
Schedule:
6:30-6:45 Pizza, beer and networking
6:45-7:30 Capital One Overview and Use case on Apache Apex
7:30-7:50 Apache Apex Introduction
7:50-8:00 Discussion/Q&A