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Azure Data Engineering Cookbook

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

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803246789
Length 608 pages
Edition 2nd Edition
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Authors (3):
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Ahmad Osama Ahmad Osama
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Ahmad Osama
Nagaraj Venkatesan Nagaraj Venkatesan
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Nagaraj Venkatesan
Luca Zanna Luca Zanna
Author Profile Icon Luca Zanna
Luca Zanna
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Toc

Table of Contents (16) Chapters Close

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 15. Other Books You May Enjoy

Visualizing data using Power BI by connecting to serverless SQL pool

Power BI is an excellent data visualization tool and is often used to consume the processed data in Synapse. Power BI can connect to objects (views or external tables, for example) in serverless SQL pool. In this recipe, we will create a Power BI report that will connect to an external table defined in serverless SQL pool.

Getting ready

Create a Synapse Analytics workspace, as explained in the Provisioning an Azure Synapse Analytics workspace recipe of this chapter.

Create a Spark pool, as explained in the Provisioning and configuring Spark pools recipe of this chapter.

Create a lake database and Delta table, as explained in the Processing data using Spark pools and lake database recipe in this chapter.

Create an external table in serverless SQL pool, as described in the Querying the data in a lake database from serverless SQL pool recipe.

Download the latest version of Power BI Desktop from https...

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