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A Developer's Guide to Building Resilient Cloud Applications with Azure

You're reading from   A Developer's Guide to Building Resilient Cloud Applications with Azure Deploy applications on serverless and event-driven architecture using a cloud database

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781804611715
Length 296 pages
Edition 1st Edition
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Author (1):
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Hamida Rebai Hamida Rebai
Author Profile Icon Hamida Rebai
Hamida Rebai
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Building Cloud-Oriented Apps Using Patterns and Technologies
2. Chapter 1: Introduction to Serverless Architecture, Event-Driven Architecture, and Cloud Databases FREE CHAPTER 3. Chapter 2: API Management – Import, Manage, and Publish Your First API 4. Chapter 3: Developing Event-Based and Message-Based Solutions 5. Part 2: Connecting Your Application with Azure Databases
6. Chapter 4: Creating and Deploying a Function App in Azure 7. Chapter 5: Develop an Azure Service Fabric Distributed Application 8. Chapter 6: Introduction to Application Data 9. Chapter 7: Working with Azure SQL Database 10. Chapter 8: Working with Azure Storage 11. Chapter 9: Working with Azure Cosmos DB to Manage Database Services 12. Chapter 10: Big Data Storage Overview 13. Part 3: Ensuring Continuous Integration and Continuous Container Deployment on Azure
14. Chapter 11: Containers and Continuous Deployment on Azure 15. Assessments 16. Index 17. Other Books You May Enjoy

Exploring Azure Databricks

In this section, we will explore the different features of Azure Databricks. However, we will start by defining Azure Synapse Analytics.

Azure Synapse Analytics

Databricks is a data, analytics, and AI company. This is a link to their platform: https://www.databricks.com/. They were the first creators of the open source versions of Apache Spark, Delta Lake, and MLflow. They used some of the architectural components of these services to compose Databricks. They tried to unify the innovation of the process within data science and data engineering.

Databricks offers an interactive workspace, helping to automate the production workflow. This entire workspace is fully managed, and Azure is the channel that Databricks uses to deliver a solution that can be deployed, regardless of the underlying infrastructure, such as servers and virtual machines.

Azure Databricks features

Azure Databricks offers multiples features:

  • Exploiting the Spark engine...
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