Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores M Klettke, S Scherzinger, U Störl BTW, 2015 | 137 | 2015 |
Schema-based scheduling of event processors and buffer minimization for queries on structured data streams C Koch, S Scherzinger, N Schweikardt, B Stegmaier Proceedings of the International Conference on Very Large Data Bases, 228-239, 2004 | 136 | 2004 |
FluXQuery: an optimizing XQuery processor for streaming XML data C Koch, S Scherzinger, N Schweikardt, B Stegmaier Proceedings of the Thirtieth international conference on Very large data …, 2004 | 112 | 2004 |
Managing Schema Evolution in NoSQL Data Stores S Scherzinger, M Klettke, U Störl arXiv preprint arXiv:1308.0514, 2013 | 105 | 2013 |
Attribute grammars for scalable query processing on XML streams C Koch, S Scherzinger Database Programming Languages, 127-128, 2004 | 67 | 2004 |
NoSQL schema evolution and big data migration at scale M Klettke, U Störl, M Shenavai, S Scherzinger 2016 IEEE International Conference on Big Data (Big Data), 2764-2774, 2016 | 56 | 2016 |
Schemaless NoSQL Data Stores–Object-NoSQL Mappers to the Rescue? U Störl, T Hauf, M Klettke, S Scherzinger BTW, 2015 | 55 | 2015 |
Combined static and dynamic analysis for effective buffer minimization in streaming XQuery evaluation M Schmidt, S Scherzinger, C Koch 2007 IEEE 23rd International Conference on Data Engineering, 236-245, 2007 | 46 | 2007 |
Attribute grammars for scalable query processing on XML streams C Koch, S Scherzinger The VLDB journal 16 (3), 317-342, 2007 | 42 | 2007 |
Uncovering the evolution history of data lakes M Klettke, H Awolin, U Störl, D Müller, S Scherzinger 2017 IEEE International Conference on Big Data (Big Data), 2462-2471, 2017 | 40 | 2017 |
Performing a background copy process during a backup operation S Scherzinger, A Trinks US Patent 9,015,119, 2015 | 35 | 2015 |
An Empirical Study on the Design and Evolution of NoSQL Database Schemas S Scherzinger, S Sidortschuck arXiv preprint arXiv:2003.00054, 2020 | 33 | 2020 |
System and method for merging monitoring data streams from a server and a client of the server M Bodziony, R Korczyk, S Scherzinger, T Steinbach US Patent 8,521,871, 2013 | 33 | 2013 |
ControVol: A Framework for Controlled Schema Evolution in NoSQL Application Development S Scherzinger, EC de Almeida, T Cerqueus Proc. ICDE 15, 2015 | 32 | 2015 |
NoSQL Schema Evolution and Data Migration: State-of-the-Art and Opportunities. U Störl, M Klettke, S Scherzinger EDBT 20, 655-658, 2020 | 28 | 2020 |
Towards Generating Consumer Labels for Machine Learning Models C Seifert, S Scherzinger, L Wiese 2019 IEEE First International Conference on Cognitive Machine Intelligence …, 2019 | 27 | 2019 |
MigCast: Putting a Price Tag on Data Model Evolution in NoSQL Data Stores A Hillenbrand, M Levchenko, U Störl, S Scherzinger, M Klettke Proceedings of the 2019 International Conference on Management of Data, 1925 …, 2019 | 26 | 2019 |
Performance Monitoring of a Computer Resource G Moehler, S Scherzinger, T Steinbach US Patent App. 12/893,735, 2010 | 25 | 2010 |
Ready to leap (by co-design)? join order optimisation on quantum hardware M Schönberger, S Scherzinger, W Mauerer Proceedings of the ACM on Management of Data 1 (1), 1-27, 2023 | 23 | 2023 |
Data model evolution using object-NoSQL mappers: folklore or state-of-the-art? A Ringlstetter, S Scherzinger, TF Bissyandé Proceedings of the 2nd International Workshop on BIG Data Software …, 2016 | 23 | 2016 |