β Scribed by Richard Swinbank
No coin nor oath required. For personal study only.
Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoftβs cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components.
Cover
Front Matter
1. Creating an Azure Data Factory Instance
2. Your First Pipeline
3. The Copy Activity
4. Pipeline Expressions
5. Parameters
6. Controlling Flow
7. Data Flows
8. Integration Runtimes
9. Power Query in ADF
10. Publishing to ADF
11. Triggers
12. Monitoring
13. Tools and Other Services
Back Matter
π SIMILAR VOLUMES
Intermediate user level
Intermediate user level
Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data fact
<span>Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first dat
<p><b>Choose the right Azure data service and correct model design for successful implementation of your data model with the help of this hands-on guide</b></p><h4>Key Features</h4><ul><li>Design a cost-effective, performant, and scalable database in Azure</li><li>Choose and implement the most suita
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