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Distributed Data Systems with Azure Databricks

You're reading from  Distributed Data Systems with Azure Databricks

Product type Book
Published in May 2021
Publisher Packt
ISBN-13 9781838647216
Pages 414 pages
Edition 1st Edition
Languages
Author (1):
Alan Bernardo Palacio Alan Bernardo Palacio
Profile icon Alan Bernardo Palacio

Table of Contents (17) Chapters

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