Mapping data flows in Azure data factory building scalable ETL projects in the Microsoft Cloud
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 desi...
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| Format: | eBook |
| Language: | Inglés |
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[Place of publication not identified] :
Apress
[2022]
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009676326306719 |
Table of Contents:
- Introduction Part I. Getting Started with Azure Data Factory and Mapping Data Flows 1. Introduction to Azure Data Factory 2. Introduction to Mapping Data Flows Part II. Designing Scalable ETL Jobs with ADF Mapping Data Flows 3. Build Your First Pipeline 4. Common Pipeline Patterns 5. Design Your First Mapping Data Flow 6. Common Data Flow Patterns 7. Debugging Mapping Data Flows 8. Data Pipelines with Data Flows Part III. Operationalize your ETL Data Pipelines 9. CI/CD and Scheduling 10. Monitoring, Management, and Security Part IV. Sample Project 11. Build a New ETL Project in ADF using Mapping Data Flows 12. End-to-End Review of the ADF Project
