Database Systems and Information Management
Big Data, Data Streaming, Distributed Data
The Distinguished Research Group led by Prof. Dr. Volker Markl addresses the human and technical latencies prevalent in the data analysis process. This entails simplifying the specification of data analysis programs via the automatic distribution, parallelization and hardware adaptation of data processing operations to reduce the human latency and thereby increase programmer productivity. This includes:
- devising intelligent data processing algorithms,
- exploiting novel advances in computer architecture (processing, network, storage),
- building efficient data management, data science, and machine learning technologies as well as systems, to reduce the technical latency and thereby increase execution efficiency and throughput.
Disclosure-compliant Query Answering
Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches
Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies
The Berlin AI Roundtable
At the invitation of the Governing Mayor of Berlin, Kai Wegner, key players from business, academia, and digitalization gathered for a cross-departmental AI roundtable at the Red Town Hall.
Researcher Spotlight: Dr. Viktor Rosenfeld
Dr. Viktor Rosenfeld did his PhD in the "Database Systems and Information Management" research group led by Professor Dr. Volker Markl. Learn more about Viktor's passion for database operators and singing in public.
Software Campus grant for BIFOLD PhD student
BIFOLD PhD student Nils Schubert has been awarded a Software Campus 2024 grant to conduct his own research project as junior research lead.
Director
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Management
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