人工合成
发表于 2025-3-21 17:27:41
书目名称Understanding Azure Data Factory影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0941315<br><br> <br><br>书目名称Understanding Azure Data Factory影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0941315<br><br> <br><br>书目名称Understanding Azure Data Factory网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0941315<br><br> <br><br>书目名称Understanding Azure Data Factory网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0941315<br><br> <br><br>书目名称Understanding Azure Data Factory被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0941315<br><br> <br><br>书目名称Understanding Azure Data Factory被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0941315<br><br> <br><br>书目名称Understanding Azure Data Factory年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0941315<br><br> <br><br>书目名称Understanding Azure Data Factory年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0941315<br><br> <br><br>书目名称Understanding Azure Data Factory读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0941315<br><br> <br><br>书目名称Understanding Azure Data Factory读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0941315<br><br> <br><br>
Concomitant
发表于 2025-3-21 22:00:00
978-1-4842-4121-9Sudhir Rawat and Abhishek Narain 2019
TATE
发表于 2025-3-22 01:51:49
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infinite
发表于 2025-3-22 08:37:52
https://doi.org/10.1007/978-1-4842-4122-6Azure Data Factory; ETL on Azure; ELT on Azure; Data Integration on Cloud; SSIS; Operationalizing big dat
addict
发表于 2025-3-22 11:54:57
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Fantasy
发表于 2025-3-22 15:07:31
Data Transformation: Part 1,What is the purpose of data if there are no insights derived from it? Data transformation is an important process that helps every organization to get insight and make better business decisions. This chapter you will focus on why data transformation is important and how Azure Data Factory helps in building this pipeline.
Wordlist
发表于 2025-3-22 17:22:04
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休战
发表于 2025-3-23 01:18:20
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钳子
发表于 2025-3-23 02:24:19
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ineluctable
发表于 2025-3-23 09:19:39
Introduction to Azure Data Factory,d operationalizing the workflow. Your overall solution may involve moving raw data from disparate sources to a staging/sink store on Azure, running some rich transform jobs (ELT) on the raw data, and finally generating valuable insights to be published using reporting tools and stored in a data ware