You're reading from Azure for Architects Create secure, scalable, high-availability applications on the cloud

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781839215865

Length 698 pages

Edition 3rd Edition

Languages

ActionScript

Tools

Azure

Concepts

Cloud Computing

Authors (3):

Jack Lee

Ritesh Modi

Rithin Skaria

View More author details

Table of Contents (21) Chapters

Preface

About Azure for Architects, Third Edition

1. Getting started with Azure

2. Azure solution availability, scalability, and monitoring FREE CHAPTER

3. Design pattern – Networks, storage, messaging, and events

4. Automating architecture on Azure

5. Designing policies, locks, and tags for Azure deployments

6. Cost management for Azure solutions

7. Azure OLTP solutions

8. Architecting secure applications on Azure

9. Azure Big Data solutions

10. Serverless in Azure – Working with Azure Functions

11. Azure solutions using Azure Logic Apps, Event Grid, and Functions

12. Azure Big Data eventing solutions

13. Integrating Azure DevOps

14. Architecting Azure Kubernetes solutions

15. Cross-subscription deployments using ARM templates

16. ARM template modular design and implementation

17. Designing IoT solutions

18. Azure Synapse Analytics for architects

19. Architecting intelligent solutions

Index

Summary

This chapter dealt with the Azure Data Factory service, which is responsible for providing ETL services in Azure. Since it is a platform as a service, it provides unlimited scalability, high availability, and easy-to-configure pipelines. Its integration with Azure DevOps and GitHub is also seamless. We also explored the features and benefits of using Azure Data Lake Gen2 Storage to store any kind of big data. It is a cost-effective, highly scalable, hierarchical data store for handling big data, and is compatible with Azure HDInsight, Databricks, and the Hadoop ecosystem.

By no means did we have a complete deep dive into all the topics mentioned in this chapter. It was more about the possibilities in Azure, especially with Databricks and Spark. There are multiple technologies in Azure related to big data, including HDInsight, Hadoop, Spark and its related ecosystem, and Databricks, which is a Platform as a Service environment for Spark with added functionality. In the next...