Head of Data Engineering
Big Data is more than storing all available data. Data management, data analyses, data visualisation and identifying new business values from the data are new challenges which have to be solved on Big Data. Technologies for storing the data are available, but no efficient concepts for interesting Big Data Analyses as prediction models are available for production systems today. In my view centralised IT technologies in the Internet (Cloud) are the future of efficient and economic computing. As already proven in many projects Cloud computing is the best available accelerator for most Big Data projects.
Due to my education, my PhD and Post-Doc position I have a wide knowledge in the acquisition and management of research projects, of supervising students and publishing research results. Based on my professional career I have a broad overview and experience on real world scenarios running Big Data Analytics and Machine Learning. It is my daily business to use technologies from the Hadoop ecosystem, R is my favorite programming language and I am switching between structured and un-structured data models daily. My preferred computing environment is Amazon Web Services.
In the future I would like to get more user and business oriented and to push industry and research into using the right computing environment for their data analyses and applications.