Mosaics in Big Data

Data management systems research focuses on improving human and technical efficiency for performing data analysis tasks. In this presentation, I describe selected research contributions to achieve that goal. I first highlight work on using query feedback in order to improve the cardinality model of a relational query optimizer. I then will discuss how the research vision of the Stratosphere research project at TU Berlin lead to the creation of the data stream processing system Apache Flink. As a third contribution, I will discuss how fractal space-filling curves can be used to efficiently process multidimensional range queries. I will conclude by giving an outlook on NebulaStream, a novel data processing system to handle massively distributed data streams on heterogeneous devices.