Biography
Daniel Linder is a Machine Learning enthusiast who works as a Data Scientist at Adyen. He is currently focused on building scalable, fault-tolerant, productionized machine learning systems. He also teaches advanced machine learning workshops internally at Adyen.
Presentation
Big Data Infrastructure without Cloud Services
At Adyen, we aren’t able to use cloud-based systems, so we had to build a big data infrastructure that could handle big data analysis and machine learning.
I will talk about the process of building a scalable big data infrastructure touching on both the data engineering and data science. This will include things we did correctly and incorrectly so you can learn from our successes and mistakes.
I will also show examples of products built on this architecture and the real-world value they can bring.