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Distributed Data Systems with Azure Databricks

You're reading from   Distributed Data Systems with Azure Databricks Create, deploy, and manage enterprise data pipelines

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781838647216
Length 414 pages
Edition 1st Edition
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Author (1):
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Alan Bernardo Palacio Alan Bernardo Palacio
Author Profile Icon Alan Bernardo Palacio
Alan Bernardo Palacio
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introducing Databricks
2. Chapter 1: Introduction to Azure Databricks FREE CHAPTER 3. Chapter 2: Creating an Azure Databricks Workspace 4. Section 2: Data Pipelines with Databricks
5. Chapter 3: Creating ETL Operations with Azure Databricks 6. Chapter 4: Delta Lake with Azure Databricks 7. Chapter 5: Introducing Delta Engine 8. Chapter 6: Introducing Structured Streaming 9. Section 3: Machine and Deep Learning with Databricks
10. Chapter 7: Using Python Libraries in Azure Databricks 11. Chapter 8: Databricks Runtime for Machine Learning 12. Chapter 9: Databricks Runtime for Deep Learning 13. Chapter 10: Model Tracking and Tuning in Azure Databricks 14. Chapter 11: Managing and Serving Models with MLflow and MLeap 15. Chapter 12: Distributed Deep Learning in Azure Databricks 16. Other Books You May Enjoy

Using the Azure portal UI

Let's start by setting up a new Databricks workspace through the Azure portal UI:

  1. Log in to the Azure portal of your subscription and navigate to the Azure services ribbon.
  2. Click on Azure Databricks:

    Figure 2.1 – Creating an Azure Databricks service

  3. This will lead you to the Azure Databricks default folder in which you will see all your resources listed. Click on Create new resource to create an Azure Databricks workspace environment:

    Figure 2.2 – Your Azure Databricks deployed resources

  4. Once you click on Create azure databricks service, you will have to fill in a couple of details regarding the workspace you are creating. The settings will look something like this:
    • Workspace name
    • Subscription
    • Resource group
    • Location
    • Pricing Tier
    • Deploy Azure Databricks workspace in your Virtual Network (Preview)

      The name of the workspace can be whatever you like, but it is always good to pick a name that is simple and references the use that...

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