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.
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
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance
Reviewing VLDB 2024
Four BIFOLD research groups participated in the 50th International Conference on Very Large Databases in Guangzhou, China, taking place from August 26 to 30, 2024.
DEBS 2024 - Keynote by Volker Markl
Lyon, France will host the 18th ACM International Conference on Distributed and Event-Based Systems (DEBS) from June 25 to 28, 2024. BIFOLD Director Volker Markl is honored to offer a keynote on data stream processing.
BIFOLD Researchers receive three SIGMOD Awards
Each year SIGMOD conference awards are bestowed on researchers who have especially contributed to the field of data management. In 2024 BIFOLD researchers were honored to receive three awards.
Director
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher
Management
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher