Machine Learning Data Pipelines
Tuesday, 9:00 AM MDT - Windsor
This workshop builds an entire event driven data pipeline with Machine Learning and Kafka. From Kafka where we use producers or Kafka Connect to generate information, we then will Kafka Streams to apply a machine learning model to make business decisions.
This intensive lab will start by integrating sources into our backplane, then train our models, and operationalize our model using Kafka Streams. We will then create result topics when we can read in as a report and display visualizations of our data. The result will also be scalable and fault tolerant.
About Daniel Hinojosa
Daniel is a programmer, consultant, instructor, speaker, and recent author. With over 20 years of experience, he does work for private, educational, and government institutions. He is also currently a speaker for No Fluff Just Stuff tour. Daniel loves JVM languages like Java, Groovy, and Scala; but also dabbles with non JVM languages like Haskell, Ruby, Python, LISP, C, C++. He is an avid Pomodoro Technique Practitioner and makes every attempt to learn a new programming language every year. For downtime, he enjoys reading, swimming, Legos, football, and barbecuing.
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