ETL (Extraction-Transform-Load) tools, traditionally developed to operate offline on historical data for feeding Data-warehouses, need to be enhanced to deal with big and fresh data and be executed at network level during data streams acquisition. In this paper, we present StreamLoader, a Web application for the specification of conceptual ETL dataflows on heterogeneous sensor data that leverages the peculiarities of network configuration, data stream management, and specification and deployment of ETL operations in a programmable network. It can be used for feeding traditional/ real-time data-warehouses or visual analytic tools.
|Titolo:||StreamLoader: an event-driven ETL system for the on-line processing of heterogeneous sensor data|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||15-mar-2016|
|Digital Object Identifier (DOI):||10.5441/002/edbt.2016.65|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|