The cloud is now the first choice for large-scale analytics, but organizations that have sunk investment into Hadoop on-premises are also challenged with maintaining operations. This can make a move to modern analytics platforms like Spark difficult or impossible. Learn about innovations for large-scale migration that can take full advantage of cloud-based analytics without disrupting operations.
Omar is a Data Scientist at Adyen, working on RevenueProtect. Prior to that, he used to do research in Computer Vision, and in hardware acceleration of imaging algorithms. His day-to-day work includes building ML models for fraud prevention, with a bit of Data Engineering, and a hint of Backend development.
Rodel is a Data Scientist at Adyen. After his Master's in Mathematics at the University of Amsterdam, he joined the financial industry in 2016. Rodel has worked on developing machine learning models to tackle various business problems. Furthermore he helps shape the Big Data Platform at Adyen. He mostly works with Python and Spark.