Natural spaces play a fundamental role in biodiversity conservation, environmental education, and the sustainable development of the territory. Every year, thousands of people visit interpretation centers, recreational areas, and protected natural enclaves, turning...
Edison Next bets on cutting-edge technologies to lead energy efficiency in buildings.
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- Extraction: In this phase, data is extracted from multiple building automation systems (BMS), such as temperature sensors, lighting systems, equipment statuses, etc. To massively extract data from the Niagara environment, the energy company has developed its own module within Niagara that enables efficient and automated export of large volumes of data.
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- Transformation: In this phase, the extracted data is processed and analyzed for later use. This process involves removing duplicate data, correcting formatting errors, and eliminating inconsistent and invalid values.
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- Loading: Finally, in this phase, the transformed data is automatically loaded into the cloud data repository.
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- Historical data collection and broad coverage: Extracting data and centralizing it in a standardized cloud repository provides a long-term view of data, where capacity is no longer considered a limitation.
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- Unified data view: The ETL process facilitates cross-sectional data analysis, as well as consistency and management of the dataset from each client’s intelligent building system.
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- Automation of the entire process: As well as monitoring its operation to have all detailed and complete information available.
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Additional information: You can read more detailed information and other additional information in our privacy policy: www.edisonnext.es
