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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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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

Getting started with notebooks and jobs in Azure Databricks

In this recipe, we will import a notebook into our workspace and learn how to execute and schedule it using jobs. By the end of this recipe, you will know how to import, create, execute, and schedule Notebooks in Azure Databricks.

Getting ready

Ensure the Databricks cluster is up and running. Clone the cookbook repository from https://github.com/PacktPublishing/Azure-Databricks-Cookbook to any location on your laptop/PC. You will find the required demo files in the chapter-01 folder.

How to do it…

Let's dive into importing the Notebook into our workspace:

  1. First, let's create a simple Notebook that will be used to create a new job and schedule it.
  2. In the cloned repository, go to chapter-01. You will find a file called DemoRun.dbc. You can import the dbc file into your workspace by right-clicking the Shared workspace and selecting the Import option:

    Figure 1.20 – Importing the dbc...

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