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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.

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Project Publications

Christoph Quix, Rihan Hai

Data Lake

Encyclopedia of Big Data Technologies

Rihan Hai, Christoph Quix, David Kensche

Nested Schema Mappings for Integrating JSON

The 37th International Conference on Conceptual Modeling (ER 2018)

Rihan Hai, Christoph Quix, Chen Zhou

Query Rewriting for Heterogeneous Data Lakes

22nd European Conference on Advances in Databases and Information Systems (ADBIS 2018)

More publications…