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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
Languages
Tools
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Authors (3):
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Ahmad Osama Ahmad Osama
Author Profile Icon Ahmad Osama
Ahmad Osama
Nagaraj Venkatesan Nagaraj Venkatesan
Author Profile Icon Nagaraj Venkatesan
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

Processing Data Using Azure Synapse Analytics

Azure Synapse Analytics workspaces generation 2, formally released in December 2020, is the industry-leading big data solution for processing and consolidating data of business value. Azure Synapse Analytics has three important components:

  • SQL pools and Spark pools for performing data exploration and processing
  • Integration pipelines for performing data ingestion and data transformations
  • Power BI integration for data visualization

Having data ingestion, processing, and visualization capabilities in a single service with seamless integration with all other services makes Azure Synapse Analytics a very powerful tool in big data engineering projects. This chapter will introduce you to Synapse workspaces and cover the following recipes:

  • Provisioning an Azure Synapse Analytics workspace
  • Analyzing data using serverless SQL pool
  • Provisioning and configuring Spark pools
  • Processing data using Spark pools...
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