Spark and Kafka for Data Analysis and Machine Learning with Johannes Ahlmann

Topic:
Using Spark and Kafka for Data Analysis and Machine Learning
Spark and Kafka are two examples of fantastic frameworks built on top of the JVM, that can even be used outside of the JVM ecosystem.
This talk will give an overview of Apache Spark as well as Apache Kafka (Streaming) for data processing and machine learning, including some of Spark's challenges.

Bio:
Johannes Ahlmann lives in Cork with his wife Sinead and his 5-year-old daughter, is the CEO of Sensatus, and has 15 years experience in the IT industry
as Head of Data Science at ScrapingHub, Principal Developer at Dell EMC, and Senior IT Consultant at Booz Allen Hamilton.
He is supposedly an Oracle Professionsal Java Programmer, but consides himself more of a python/ haskell developer.
He loves to spend his time in the space between data science, software development, software/ solutions architecture, and machine learning.