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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 Log Analytics workspace

As more and more Azure services are being used to build enterprise solutions, there needs to be a centralized location where we can collect performance and application metrics for various Azure services. This will help us understand how the service is functioning. Every Azure resource has a set of resource logs that provides information about the operations that are performed on the Azure service, as well as the health of that service. With the help of Azure Monitor Logs, we can collect data from resource logs, as well as performance metrics from applications and virtual machines, into a common Log Analytics workspace. We can also use these metrics to identify any specific trends, understand the performance of the service, or even find any anomalies. We can analyze the data that has been captured in a Log Analytics Workspace using Log Query, which was written in Kusto Query Language (KQL), and perform various types of Data Analytics operations. In...

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