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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Parameterizing Synapse data flows

Adding parameters to data flows provides flexibility and agility for data flows while performing their transformations. In this recipe, we will create a data flow that accepts a parameter, filters the data based on the value passed in the parameter, and copies the data to Parquet files.

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 to create the Copy_CSV_to_Parquet data flow..

How to do it…

In this recipe, we will add a parameter to the Copy_CSV_to_Parquet dataflow (which was created in the Copying data using a Synapse data flow recipe), and make the Copy_CSV_to_Parquet data flow copy selective rows based on the value passed to the parameter by the Copy_Data_Flow pipeline (created in the Copying data using a Synapse...