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Azure Databricks Cookbook

You're reading from   Azure Databricks Cookbook Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781789809718
Length 452 pages
Edition 1st Edition
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Authors (2):
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Vinod Jaiswal Vinod Jaiswal
Author Profile Icon Vinod Jaiswal
Vinod Jaiswal
Phani Raj Phani Raj
Author Profile Icon Phani Raj
Phani Raj
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Creating an Azure Databricks Service 2. Chapter 2: Reading and Writing Data from and to Various Azure Services and File Formats FREE CHAPTER 3. Chapter 3: Understanding Spark Query Execution 4. Chapter 4: Working with Streaming Data 5. Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics 6. Chapter 6: Exploring Delta Lake in Azure Databricks 7. Chapter 7: Implementing Near-Real-Time Analytics and Building a Modern Data Warehouse 8. Chapter 8: Databricks SQL 9. Chapter 9: DevOps Integrations and Implementing CI/CD for Azure Databricks 10. Chapter 10: Understanding Security and Monitoring in Azure Databricks 11. Other Books You May Enjoy

Creating a cluster from the user interface (UI)

In this recipe, we will look at the different types of clusters and cluster modes in Azure Databricks and how to create them. Understanding cluster types will help you determine the right type of cluster you should use for your workload and usage pattern.

Getting ready

Before you get started, ensure you have created an Azure Databricks workspace, as shown in the preceding recipes.

How to do it…

Follow these steps to create a cluster via the UI:

  1. After launching your workspace, click on the Cluster option from the left-hand pane:

    Figure 1.17 – Create Cluster page

  2. Provide a name for your cluster and select a cluster mode based on your scenario. Here, we are selecting Standard.
  3. We are not selecting a pool here. Let's go with the latest version of Spark (3.0.1) and the latest version of the Databricks runtime (7.4) that's available at the time of writing this book.
  4. The possibility to...
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