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Название: Mapping Data Flows in Azure Data Factory
Автор: Mark Kromer
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 204
Размер: 10 Mb
Язык: English

Build scalable ETL data pipelines in the cloud using Azure Data Factory’s Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF’s code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the data for use in data science projects and analytics systems.








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