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【BAYES COFFEE HOUSE TECH TALK SERIES】Mosaics in Big Data
【BAYES COFFEE HOUSE TECH TALK SERIES】Mosaics in Big Data
Join us for a captivating presentation by Professor Volker Markl, Chair of Database Systems and Information Management (DIMA) at TU Berlin, and Director of the Intelligent Analytics for Massive Data Research Department at DFKI. In this talk, Professor Markl will discuss his research on improving data analysis efficiency, including query optimization, the evolution of Apache Flink, and NebulaStream for distributed data streams.
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 for handling massively distributed data streams on heterogeneous devices.
Bio:
Volker Markl is a German Professor of Computer Science. He leads the Chair of Database Systems and Information Management (DIMA) at TU Berlin and the Intelligent Analytics for Massive Data Research Department at the German Research Center for Artificial Intelligence (DFKI). In addition, he is Director of the Berlin Institute for the Foundations of Learning and Data (BIFOLD). He is a database systems researcher, conducting research at the intersection of distributed systems, scalable data processing, and machine learning. Between 2010 – 2015, Volker led the DFG-funded Stratosphere project, which resulted in the creation of Apache Flink. He has received numerous honors and prestigious awards including two ACM SIGMOD Research Highlight Awards and several best paper awards at leading conferences: ACM SIGMOD, VLDB, IEEE ICDE, and EDBT. In 2020, he was named an ACM Fellow for his contributions to query optimization, scalable data processing, and data programmability. In 2014, he was elected one of Germany’s leading “Digital Minds“ (Digitale Köpfe) by the German Informatics Society. He also is a member of the Berlin-Brandenburg Academy of Sciences (BBAW) and serves as advisor to academic institutions, governmental organizations, and technology companies. Volker holds eighteen patents and has been co-founder and mentor to several startups.
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