Abstract Context The adoption of Service-oriented Architecture (SOA) and Business Process
Management (BPM) is fairly recent. The major concern is now shifting towards the …

Following the current trend, most of the well-known database systems, being relational,
NoSQL, or NewSQL, denote themselves as multi-model. This industry-driven approach …

NoSQL data stores are commonly schema-less, providing no means for globally defining or
managing the schema. While this offers great flexibility in early stages of application …

In this paper, we focus on the problem of evolution management of multi-model data. With
the changing user requirements, the schema and the data need to be adapted to preserve …

Following the Gartner predictions, most of the DBMSs, both traditional relational and NoSQL,
have become multi-model. However, this functionality brought on plenty of related issues …

Abstract tXSchema (Currim et al., 2004) is a framework (a language and a suite of tools) for
the creation and validation of time-varying XML documents. A tXSchema schema is …

There is a new generation of databases specifically addressing Big Data Variety: Multi-
model databases store and process structurally heterogeneous data, managing several data …

Data integration in large enterprises is a crucial but at the same time costly, long lasting and
challenging problem. While business-critical information is often already gathered in …

Das Datenmanagement für heterogene Umweltdaten wird am Beispiel verschiedener
Projekte aus dem maritimen Umfeld gezeigt. Besonderer Schwerpunkt dabei sind eine …

Although multi-temporal XML databases supporting schema versioning are used in several
domains, like e-commerce, e-health, and e-government, existing database management …