A Distributed Event Stream Processing Framework for Materialized Views over Heterogeneous Data Sources

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Provided by: VLD Digital
Topic: Big Data
Format: PDF
Data-driven applications are becoming increasingly complex with support for processing events and data streams in a loosely-coupled distributed environment, providing integrated access to heterogeneous structured data sources such as relational databases and XML data. This paper provides the foundation for defining a framework for materialized views over heterogeneous data sources in an event stream processing environment. A prototype using commercial off-the-shelf components illustrates a \"Proof of concept\" of the framework for investigating the research challenges in the incremental view maintenance of materialized views.
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