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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Data Lake

Research field Big Data & Model Management
Status running
Data lakes have been proposed as a solution to deal with the heterogeneity of big data, as they should provide a storage system for any kind of raw data. Metadata is of particular importance in such a system to have information about the structure and semantics of the data. The group has been working on the enhancement of the data lake system Constance. It is based on a modular architecture with components for schema matching, schema mapping, query rewriting, and wrapping of data sources. This system is applied in other research projects, e.g., mi-Mappa, HUMIT, and charMAnt, as basic platform for data integration. null

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Project Publications

Rihan Hai, Christoph Quix

Rewriting of Plain SO Tgds into Nested Tgds

The 45th International Conference on Very Large Data Bases (VLDB 2019)

Rihan Hai, Christoph Quix, Wang Dan

Relaxed Functional Dependency Discovery in Heterogeneous Data Lakes

The 38th International Conference on Conceptual Modeling (ER 2019)

Christoph Quix, Rihan Hai

Data Lake

Encyclopedia of Big Data Technologies

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