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Azure Data Factory Cookbook

You're reading from  Azure Data Factory Cookbook

Product type Book
Published in Dec 2020
Publisher Packt
ISBN-13 9781800565296
Pages 382 pages
Edition 1st Edition
Languages
Authors (4):
Dmitry Anoshin Dmitry Anoshin
Profile icon Dmitry Anoshin
Dmitry Foshin Dmitry Foshin
Profile icon Dmitry Foshin
Roman Storchak Roman Storchak
Profile icon Roman Storchak
Xenia Ireton Xenia Ireton
Profile icon Xenia Ireton
View More author details
Toc

Table of Contents (12) Chapters close

Preface 1. Chapter 1: Getting Started with ADF 2. Chapter 2: Orchestration and Control Flow 3. Chapter 3: Setting Up a Cloud Data Warehouse 4. Chapter 4: Working with Azure Data Lake 5. Chapter 5: Working with Big Data – HDInsight and Databricks 6. Chapter 6: Integration with MS SSIS 7. Chapter 7: Data Migration – Azure Data Factory and Other Cloud Services 8. Chapter 8: Working with Azure Services Integration 9. Chapter 9: Managing Deployment Processes with Azure DevOps 10. Chapter 10: Monitoring and Troubleshooting Data Pipelines 11. Other Books You May Enjoy

Introduction to the Azure data platform

The Azure data platform provides us with a number of data services for databases, data storage, and analytics. In Table 1.1, you can find a list of services and their purpose:

Table 1.1 – Azure data platform services

Using the Azure data platform services can help you build a modern analytics solution that is secure and scalable. The following diagram shows an example of a typical modern cloud analytics architecture:

Figure 1.1 – Modern analytics solution architecture

You can find most of the Azure data platform services here. ADF is a core service for data movement and transformation.

Let's learn more about the reference architecture in Figure 1.1. It starts with source systems. We can collect data from files, databases, APIs, IoT, and so on. Then, we can use Event Hubs for streaming data and ADF for batch operations. ADF will push data into Azure Data Lake as a staging...

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