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Azure for Architects

Azure for Architects

By : Modi, Jack Lee, Rithin Skaria
3.5 (4)
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Azure for Architects

Azure for Architects

3.5 (4)
By: 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)
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20
Index

7. Azure OLTP solutions

Azure provides both Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) services. These types of services provide organizations with different levels and controls over storage, compute, and networks. Storage is the resource used when working with the storage and transmission of data. Azure provides lots of options for storing data, such as Azure Blob storage, Table storage, Cosmos DB, Azure SQL Database, Azure Data Lake, and more. While some of these options are meant for big data storage, analytics, and presentation, there are others that are meant for applications that process transactions. Azure SQL is the primary resource in Azure that works with transactional data.

This chapter will focus on various aspects of using transactional data stores, such as Azure SQL Database and other open-source databases that are typically used in Online Transaction Processing (OLTP) systems, ...

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