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During the last two decades, it has been increasingly acknowledged that theengineering of information systems usually requires a huge effort inintegrating master data and business processes. This has led to a plethora ofproposals, both from academia and the industry. However, such approachestypically come with ad-hoc abstractions to represent and interact with the datacomponent. This has a twofold disadvantage. On the one hand, they cannot beused to effortlessly enrich an existing relational database with dynamics. Onthe other hand, they generally do not allow for integrated modelling,verification, and enactment. We attack these two challenges by proposing adeclarative approach, fully grounded in SQL, that supports the agile modellingof relational data-aware processes directly on top of relational databases. Weshow how this approach can be automatically translated into a concreteprocedural SQL dialect, executable directly inside any relational databaseengine. The translation exploits an in-database representation of processstates that, in turn, is used to handle, at once, process enactment with orwithout logging of the executed instances, as well as process verification. Theapproach has been implemented in a working prototype.

Modeling and In-Database Management of Relational, Data-Aware Processes (Extended Version)