I²: Interactive Real-Time Visualization for Streaming Data
- Scotty: Efficient Window Aggregation for out-of-order Stream Processing
- Prototyped a query parser based on Apache Calcite
I’m Philipp Grulich a second-year computer science Master’s student at the Technische Universität Berlin, specializing in big data analytics systems. Currently, I’m studying as an exchange student for two quarters at the UC Santa Cruz. Besides the university, I have worked for several companies and collected experiences in frontend and backend software development. In my bachelor thesis, I evaluated Apache Spark Streaming as the foundation of an IoT platform. At the TUB, I joined a streaming systems oriented research project involving Apache Flink as a German Research Center for Artificial Intelligence (DFKI) research assistant.
- Data analytics with python and pandas
- Evaluated Apache Spark for several transaction analysis use cases
- Contributed to an AngularJS application for low end embedded devices
- Performance profiling with chrome dev tools
- Developed several intern applications with Java RCP and Spring
- Developed a crowdsourcing platform to improve product data quality based on Amazon Mechanical Turk
VLDB 2018Collaborative Edge and Cloud Neural Networks for Real-Time Video ProcessingPhilipp Marian Grulich, Faisal NawabIn 44th International Conference on Very Large Data Bases (VLDB), 2018, to appear.
EDBT 2018Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive WindowingPhilipp Marian Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl.In International Conference on Extending Database Technology (EDBT), 2018.
ICDE 2018Scotty: Efficient Window Aggregation for out-of-order Stream ProcessingJonas Traub, Philipp Marian Grulich, Alejandro Rodrıguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl.In 34th IEEE International Conference on Data Engineering (ICDE), 2018.
EDBT 2017I2: Interactive Real-Time Visualization for Streaming Data.Jonas Traub, Nikolaas Steenbergen, Philipp M Grulich, Tilmann Rabl, and Volker Markl.Proceedings of the 20th International Conference on Extending Database Technology (EDBT'17), March 21-24, 2017, Venice, Italy.
EDBT 2017STREAMLINE-Streamlined analysis of data at rest and data in motionPhilipp Marian Grulich, Tilmann Rabl, Volker Markl, Csaba István Sidló, Andras BenczurProceedings of the 20th International Conference on Extending Database Technology (EDBT'17), March 21-24, 2017, Venice, Italy.
SmartData 2017Smart Stream-Based Car Information Systems that Scale: An Experimental Evaluation.Philipp Marian Grulich, Olaf Zukunft.Proceedings of the 3rd IEEE International Conference on Smart Data (SmartData 2017), June 21-23, 2017, Exeter, UK.
Innovate-Data 2017Bringing Big Data into the Car: Does it scale?.Philipp Marian Grulich, Olaf Zukunft.Proceedings of the The 3rd International Conference on Big Data Innovations and Applications (Innovate-Data 2017), Aug. 21-23, 2017, Prague, Czech Republic.