You're reading from Azure Data Engineering Cookbook Get well versed in various data engineering techniques in Azure using this recipe-based guide

Product type Paperback

Published in Sep 2022

Publisher Packt

ISBN-13 9781803246789

Length 608 pages

Edition 2nd Edition

Languages

SQL

Tools

Azure

Concepts

Data Engineering

Authors (3):

Ahmad Osama

Nagaraj Venkatesan

Luca Zanna

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Table of Contents (16) Chapters

Preface

1. Chapter 1: Creating and Managing Data in Azure Data Lake

2. Chapter 2: Securing and Monitoring Data in Azure Data Lake FREE CHAPTER

3. Chapter 3: Building Data Ingestion Pipelines Using Azure Data Factory

4. Chapter 4: Azure Data Factory Integration Runtime

5. Chapter 5: Configuring and Securing Azure SQL Database

6. Chapter 6: Implementing High Availability and Monitoring in Azure SQL Database

7. Chapter 7: Processing Data Using Azure Databricks

8. Chapter 8: Processing Data Using Azure Synapse Analytics

9. Chapter 9: Transforming Data Using Azure Synapse Dataflows

10. Chapter 10: Building the Serving Layer in Azure Synapse SQL Pool

11. Chapter 11: Monitoring Synapse SQL and Spark Pools

12. Chapter 12: Optimizing and Maintaining Synapse SQL and Spark Pools

13. Chapter 13: Monitoring and Maintaining Azure Data Engineering Pipelines

14. Index

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Handling schema changes dynamically in data flows using schema drift

A common challenge in extraction, transformation, and load (ETL) projects is when the schema changes at the source and the pipelines that are supposed to read the data from the source, transform it, and ingest it to the destination, start to fail. Schema drift, a feature in data flows, addresses this problem by allowing us to dynamically define the column mapping in transformations. In this recipe, we will make some changes to the schema of a data source, use schema drift to detect the changes, and handle changes without any manual intervention gracefully.

Getting ready

Create a Synapse Analytics workspace as explained in the Provisioning an Azure Synapse Analytics workspace recipe in Chapter 8, Processing Data Using Azure Synapse Analytics.

Complete the Copying data using a Synapse data flow recipe in this chapter.