Document stores are preferred to relational ones for storing heterogeneous data due to their schemaless nature. However, the absence of a unique schema adds complexity to analytical applications. In a previous paper we have proposed an original approach to OLAP on document stores; its basic idea was to stop fighting against schema variety and welcome it as an inherent source of information wealth in schemaless sources. In this paper we focus on the querying phase, showing how queries can be directly rewritten on a heterogeneous collection in an inclusive way, i.e., also including the concepts present in a subset of documents only.

OLAP Querying of Document Stores in the Presence of Schema Variety

Matteo Francia;Enrico Gallinucci;Matteo Golfarelli;Stefano Rizzi
2020

Abstract

Document stores are preferred to relational ones for storing heterogeneous data due to their schemaless nature. However, the absence of a unique schema adds complexity to analytical applications. In a previous paper we have proposed an original approach to OLAP on document stores; its basic idea was to stop fighting against schema variety and welcome it as an inherent source of information wealth in schemaless sources. In this paper we focus on the querying phase, showing how queries can be directly rewritten on a heterogeneous collection in an inclusive way, i.e., also including the concepts present in a subset of documents only.
Proceedings 28th Italian Symposium on Advanced Database Systems
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Matteo Francia, Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/758579
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