Fast Data with the KISSS stack
Who is this presentation for?Software/solution architects, people who are interested in fast data / streaming analytics
Streaming Analytics (or Fast Data processing) is becoming an increasingly popular subject in enterprise organizations. The reason for this is that customers want to have real-time experiences, such as notifications and advise based on their online behaviour and other users’ actions. A typical streaming analytics solution follows a ‘pipes and filters’ pattern that consists of three main steps: detecting patterns on raw event data (Complex Event Processing), evaluating the outcomes with the aid of business rules and machine learning algorithms, and deciding on the next action. At the core of this architecture is the execution of predictive models that operate on enourmous amounts of never-ending data streams.
In this talk, I’ll present an architecture for streaming analytics solutions that covers many use cases that follow this pattern: actionable insights, fraud detection, log parsing, traffic analysis, factory data, the IoT, and others. I’ll go through a few architecture challenges that will arise when dealing with streaming data, such as latency issues, event time vs server time, and exactly-once processing. The solution is build on the KISSS stack: Kafka, Impala, and Spark Structured Streaming. The solution is open source and available on GitHub.
Prerequisite knowledgeBasic knowledge of big data / fast data applications. Basic knowledge of application/solution architecture. Know what a reference architecture is and how to use one.
What you'll learn
Bas Geerdink is a programmer, scientist, and IT manager at ING, where he is responsible for the fast data systems that process and analyze streaming data. Bas has a background in software development, design, and architecture with broad technical experience from C++ to Prolog to Scala. His academic background is in artificial intelligence and informatics. Bas’s research on reference architectures for big data solutions was published at the IEEE conference ICITST 2013. He occasionally teaches programming courses and is a regular speaker at conferences and informal meetings.
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