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Azure Databricks Cookbook

You're reading from  Azure Databricks Cookbook

Product type Book
Published in Sep 2021
Publisher Packt
ISBN-13 9781789809718
Pages 452 pages
Edition 1st Edition
Languages
Authors (2):
Phani Raj Phani Raj
Profile icon Phani Raj
Vinod Jaiswal Vinod Jaiswal
Profile icon Vinod Jaiswal
View More author details

Table of Contents (12) Chapters

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 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

Reading streaming data from Azure Event Hubs

In this recipe, you will learn how to connect an Azure Event Hubs streaming data source from Azure Databricks to process data in real time. You will set up the data process using Azure Event Hubs and read messages coming from the Event Hub using Azure Databricks. To access the streaming data, you will set up a streaming data producer application in Python to ingest vehicle information.

Getting ready

Before you start working on this recipe, please ensure you have gone through the following points:

  • You can create an Event Hub namespace and an Event Hub within the namespace in accordance with the Microsoft documentation available at https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-create.
  • You can use the Python script, Event_producer.py, which will push the data to Azure Event Hubs as a streaming data producer You can get the Python script from https://github.com/PacktPublishing/Azure-Databricks-Cookbook/blob...
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