The declarative specification and automatic optimization, parallelization and hardware adaptation of advanced machine learning methods constitute the scientific core of the Berlin Big Data Center. That is, we will develop and declaratively specify scalable machine learning algorithms and thus fuse the academic disciplines of machine learning and data management into scalable data analysis

Furthermore, we will design and build a highly scalable open-source system which can handle the automatic optimization, parallelization as well as adaptation to heterogeneous hardware setups of such declaratively specified analysis methods, in conjunction with a toolbox of scalable machine learning and other data analysis algorithms.