Database Systems and Information Management

The paper "SheetReader: Efficient Specialized Spreadsheet Parsing" has been accepted for publication by the journal Information Systems.

The paper "SheetReader: Efficient Specialized Spreadsheet Parsing" authored by Haralampos Gavriilidis, Felix Henze, Eleni Tzirita Zacharatou and Volker Markl has been accepted for publication by the CORE A* ranked journal Information Systems.

Abstract:

Spreadsheets are widely used for data exploration. Since spreadsheet systems have limited…

Alexander Renz-Wieland successfully defended his dissertation "Adaptive Parameter Servers'' on 16/12/22.

Abstract

Adaptive Parameter Servers

Machine learning (ML) has become an essential tool for solving problems that have traditionally been challenging for computers, for example in the fields of natural language processing, computer vision, and recommender systems. For large ML tasks, distributed training has become a necessity for keeping up with…

"The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines" accepted for publication at ICDE2023.

The research paper "The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines" by Lennart Behme, Saravanan Thirumuruganathan, Alireza Rezaei Mahdiraji, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, has been accepted for publication in ICDE2023.

Titel: The Art of Losing to Win: Using Lossy Image…

The research paper "Survey of Window Types for Aggregation in Stream Processing Systems“ has been accepted for publication in the VLDBJ 2023.

The research paper "Survey of Window Types for Aggregation in Stream Processing Systems“ by Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl has been accepted for publication in the VLDB Journal 2023.

Title: Survey of Window Types for Aggregation in Stream Processing Systems

Authors: Juliane Verwiebe, Philipp M. Grulich, Jonas…

W3 professorship in the field of "Management of Data Science Processes" to be filled

Technische Universität Berlin - Faculty IV (Electrical Engineering and Computer Science), Institute for Software Engineering and Theoretical Computer Science and the Berlin Institute for Foundations of Learning and Data (BIFOLD) invite applications for the position of a

University Professor - salary grade W3

in the field of “Management of…

Bonaventura Del Monte successfully defended his dissertation on 05/12/22

"Hardware-conscious Techniques for Efficient and Reliable Stateful Stream Processing''

Summary

Over the past two decades, distributed stream processing engines (SPEs) have become a prominent component in the big data management tool-chain to support real-time, stateful data analytics applications on high-volume, high-velocity data streams in…

W3 professorship in the field of "Information Integration and Data Cleansing" to be filled

Technische Universität Ber­lin - Faculty IV (Electrical Engineering and Computer Science), Institute for Software Engineering and Theoretical Computer Science and the Berlin Institute for Foundations of Learning and Data (BIFOLD) invite applications for the position of a

University Professor – salary grade W3

in the field of “Information…

‘’Parallelizing Intra-Window Join on Multicores: An Experimental Study" awarded "Results Reproduced" badge by ACM .

We would like to congratulate the authors of the paper "Parallelizing Intra-Window Join on Multicores: An Experimental Study" Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, and Volker Markl on attaining the "Results Reproduced" badge from ACM SIGMOD 2021.

Abstract

The intra-window join…

Clemens Lutz successfully defended his dissertation "Scalable data management with GPUs and fast interconnects'' on 10/11/22.

Abstract

Modern database management systems (DBMSs) are tasked with analyzing terabytes of data, employing a rich set of relational and machine learning operators. To process data at large scales, research efforts have strived to leverage the high computational throughput and memory bandwidth of specialized co-processors, such as graphics…

'What is the price for joining securely? Benchmarking equi-joins in trusted execution environments' awarded the VLDB Reproducibility Badge

Reproducibility is the ability to duplicate results using the same raw data.

The article "What is the price for joining securely? Benchmarking equi-joins in trusted execution environments" by Kajetan Maliszewski, Jorge-Arnulfo Quiané-Ruiz, Jonas Traub, and Volker Markl published in PVLDB vol15 has now been awarded with the VLDB Reproducibility…

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