Mapping Data Flows In Azure Data Factory Building Scalable Etl Projects In The M - Mark Kromer
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Mapping Data Flows In Azure Data Factory Building Scalable Etl Projects In The M - Mark Kromer
Build Scalable Etl Data Pipelines In The Cloud Using Azure Data Factorys 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 Adfs Code- 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.
- 品牌: Unbranded
- 类别: 计算机与互联网
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语言: English
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作者: Mark Kromer
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出版日期: 2022-08-26
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页数: 214
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出版社／标签: Springer Nature B.V
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格式: Paperback
- Fruugo ID: 469709173-983664090
- ISBN: 9781484286111
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