Book Image

Azure for Architects - Third Edition

By : Ritesh Modi, Jack Lee, Rithin Skaria
Book Image

Azure for Architects - Third Edition

By: Ritesh Modi, Jack Lee, Rithin Skaria

Overview of this book

Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions.
Table of Contents (21 chapters)
20
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...