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Limitless Analytics with Azure Synapse

You're reading from   Limitless Analytics with Azure Synapse An end-to-end analytics service for data processing, management, and ingestion for BI and ML

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Product type Paperback
Published in Jun 2021
Publisher Packt
ISBN-13 9781800205659
Length 392 pages
Edition 1st Edition
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Authors (2):
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Saranya Ravichander Saranya Ravichander
Author Profile Icon Saranya Ravichander
Saranya Ravichander
Prashant Kumar Mishra Prashant Kumar Mishra
Author Profile Icon Prashant Kumar Mishra
Prashant Kumar Mishra
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: The Basics and Key Concepts
2. Chapter 1: Introduction to Azure Synapse FREE CHAPTER 3. Chapter 2: Considerations for Your Compute Environment 4. Section 2: Data Ingestion and Orchestration
5. Chapter 3: Bringing Your Data to Azure Synapse 6. Chapter 4: Using Synapse Pipelines to Orchestrate Your Data 7. Chapter 5: Using Synapse Link with Azure Cosmos DB 8. Section 3: Azure Synapse for Data Scientists and Business Analysts
9. Chapter 6: Working with T-SQL in Azure Synapse 10. Chapter 7: Working with R, Python, Scala, .NET, and Spark SQL in Azure Synapse 11. Chapter 8: Integrating a Power BI Workspace with Azure Synapse 12. Chapter 9: Perform Real-Time Analytics on Streaming Data 13. Chapter 10: Generate Powerful Insights on Azure Synapse Using Azure ML 14. Section 4: Best Practices
15. Chapter 11: Performing Backup and Restore in Azure Synapse Analytics 16. Chapter 12: Securing Data on Azure Synapse 17. Chapter 13: Managing and Monitoring Synapse Workloads 18. Chapter 14: Coding Best Practices 19. Other Books You May Enjoy

Preparing the environment

Before we can start learning about Azure ML integration with Azure Synapse, we need to prepare the environment to run ML operations on Azure Synapse, by creating some resources on Azure.

Creating a Text Analytics resource in the Azure portal

Text analytics is an AI service that is used to discover insights such as sentiment, entities, key phrases, and so on, in unstructured text. This resource will be used for performing sentiment analysis on data using a Synapse Spark pool in the Sentiment analysis section.

You can go through the following steps to create a Text Analytics resource in the Azure portal:

  1. Log in to the Azure portal, at https://portal.azure.com.
  2. Click on + Create a resource and select Text Analytics from the list of all available resources.
  3. You can see the overview of this service. Click on Create:
    Figure 10.1 – Creating a Text Analytics resource in the Azure portal

    Figure 10.1 – Creating a Text Analytics resource in the Azure portal

  4. Fill in the values for Subscription, Resource...
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