MusQ: a Multi-store query system for iot data using a datalog-like language
The growing number of connected Internet of Things (IoT) devices has increased the
necessity for processing IoT data from multiple heterogeneous data stores. IoT data
integration is a challenging problem owing to the heterogeneity of data stores in terms of
their query language, data models, and schemas. In this paper, we propose a multi-store
query system for IoT data called MusQ, where users can formulate join operation queries for
heterogeneous data sources. To reconcile the heterogeneity between source schemas of …
necessity for processing IoT data from multiple heterogeneous data stores. IoT data
integration is a challenging problem owing to the heterogeneity of data stores in terms of
their query language, data models, and schemas. In this paper, we propose a multi-store
query system for IoT data called MusQ, where users can formulate join operation queries for
heterogeneous data sources. To reconcile the heterogeneity between source schemas of …
[PDF][PDF] MusQ: A Multi-Store Query System for IoT Data Using a Datalog-Like Language
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The growing number of connected Internet of Things (IoT) devices has increased the
necessity for processing IoT data from multiple heterogeneous data stores. IoT data
integration is a challenging problem owing to the heterogeneity of data stores in terms of
their query language, data models, and schemas. In this paper, we propose a multi-store
query system for IoT data called MusQ, where users can formulate join operation queries for
heterogeneous data sources. To reconcile the heterogeneity between source schemas of …
necessity for processing IoT data from multiple heterogeneous data stores. IoT data
integration is a challenging problem owing to the heterogeneity of data stores in terms of
their query language, data models, and schemas. In this paper, we propose a multi-store
query system for IoT data called MusQ, where users can formulate join operation queries for
heterogeneous data sources. To reconcile the heterogeneity between source schemas of …
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