| 書目名稱 | Understanding Azure Data Factory |
| 副標題 | Operationalizing Big |
| 編輯 | Sudhir Rawat,Abhishek Narain |
| 視頻video | http://file.papertrans.cn/942/941315/941315.mp4 |
| 概述 | Covers the latest Azure Data Factory version 2.Demonstrates building enterprise analytics solutions (architecture plus code) with examples for easy understanding.Discusses in detail executing SSIS pac |
| 圖書封面 |  |
| 描述 | Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn?how to monitor complex pipelines, set alerts, and extend your organization‘s custom monitoring requirements..This book starts with an overview of?the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into?data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to?leverage Azure Data Factory to run existing SSIS packages.?As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines..?.What You‘ll Learn.Understand data integration on Azure cloud.Build and operationalize an ADF pipeline.Modernize a data warehouse.Be aware of performance an |
| 出版日期 | Book 2019 |
| 關鍵詞 | Azure Data Factory; ETL on Azure; ELT on Azure; Data Integration on Cloud; SSIS; Operationalizing big dat |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4842-4122-6 |
| isbn_softcover | 978-1-4842-4121-9 |
| isbn_ebook | 978-1-4842-4122-6 |
| copyright | Sudhir Rawat and Abhishek Narain 2019 |
|Archiver|手機版|小黑屋|
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