Many data scientists and analysts do not have a deep understanding of Hadoop, so they struggle with solving their analytics problems in a distributed environment. Distributed algorithms are not always easy and intuitive and there are a lot of different approaches. This session helps to organize approaches and help you select the right approach for the task. Join us to learn:
VP Big Data, RapidMiner
Prekopcsák Zoltán is the Vice President of Big Data at RapidMiner, the leader in Modern Analytics. Previously, he was co-founder and CEO of Radoop, before its acquisition by RapidMiner. Zoltan has experience in data-driven projects in various industries including telecommunications, financial services, e-commerce, neuroscience, and many more. Previously, he was a data scientist at Secret Sauce Partners, Inc. where he created a patented technology for predicting customer behavior. Zoltan has been a lecturer at Budapest University of Technology and Economics, his alma mater, with a focus on big data and predictive analytics. He has dozens of publications and is a regular speaker at international conferences.