… In this work, the first citizen is the schema of a message in the stream. Streaming … , ie,
collections of key-value pairs, where keys are the schema elements (ie, attributes). It is common to …

… key insights about the schema of data in a high-variety context. In this paper, we present
a streaming approach to schema profiling called DSC+. The approach works under the …

… The project focuses on establishing a data lake with a unified metadata schema to ensure
… query execution, combining various profiling techniques to optimize code for modern …

… for database management and schema reverse engineering. Data profiling has also more
novel … column cardinalities from big data and data streams. We investigate the effect of missing/…

… In this paper, we first report some example application areas that can benefit from stream
reasoning and analyze the requirements they pose. Then, we survey existing approaches in …

… can be served by data stream management systems [23]. If this is not the case, continuous
… such “soft schema” values is a challenge, and a first step must involve schema profiling as …

… model, as implemented by systems of the second generation [16, 37, 164], does not impose
any strict schema or semantics on the input stream elements, other than the presence of a …

… stream and so on. Union is used to merge two or more streams with the same schema into
a single output stream. … this profiling has been made with 30 nodes for all approaches), the …

… an XML-schema profile and transmit it to the profile agent. The profile agent determines the
… The parameter profile module records the user profile and determines the parameter list …

… Individual records are structured list of attributes and their data types while a schema is a …
title of a hybrid autonomous data analytics framework using a semantic data profiling …