Abstract
A major responsibility of the data engineer is the development and management of extract, transform, and load (ETL) and other data integration workloads. Real-time integration workloads process data as it is generated – for example, a transaction being recorded at a point-of-sale terminal or a sensor measuring the temperature in a data center. In contrast, batch integration workloads run at intervals, usually processing data produced since the previous batch run.
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Swinbank, R. (2021). Creating an Azure Data Factory Instance. In: Azure Data Factory by Example. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-7029-5_1
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DOI: https://doi.org/10.1007/978-1-4842-7029-5_1
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