This was another chapter on handling big data. This chapter dealt with the Azure Data Factory service, which is responsible for providing ETL services on Azure. Since it is a PaaS, it provides unlimited scalability, high availability, and easy-to-configure pipelines. Its integration with Azure DevOps and GitHub is also seamless. We also saw the features and benefits of using Azure Data Lake Gen2 storage for storing any kind of big data. It is a cost-effective, highly scalable, hierarchical data store for handling big data, with compatibility with Azure HDInsight, Databricks, and the Hadoop ecosystem.
Azure for Architects. - Second Edition
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Azure for Architects. - Second Edition
By:
Overview of this book
Over the years, Azure cloud services have grown quickly, and the number of organizations adopting Azure for their cloud services is also gradually increasing. Leading industry giants are finding that Azure fulfills their extensive cloud requirements.
Azure for Architects – Second Edition starts with an extensive introduction to major designing and architectural aspects available with Azure. These design patterns focus on different aspects of the cloud, such as high availability, security, and scalability. Gradually, we move on to other aspects, such as ARM template modular design and deployments.
This is the age of microservices and serverless is the preferred implementation mechanism for them. This book covers the entire serverless stack available in Azure including Azure Event Grid, Azure Functions, and Azure Logic Apps. New and advance features like durable functions are discussed at length. A complete integration solution using these serverless technologies is also part of the book. A complete chapter discusses all possible options related to containers in Azure including Azure Kubernetes services, Azure Container Instances and Registry, and Web App for Containers.
Data management and integration is an integral part of this book that discusses options for implementing OLTP solutions using Azure SQL, Big Data solutions using Azure Data factory and Data Lake Storage, eventing solutions using stream analytics, and Event Hubs. This book will provide insights into Azure governance features such as tagging, RBAC, cost management, and policies.
By the end of this book, you will be able to develop a full-?edged Azure cloud solution that is Enterprise class and future-ready.
Table of Contents (17 chapters)
Preface
Free Chapter
Getting Started
Azure Solution Availability and Scalability
Security and Monitoring
Cross-Subscription Deployments Using ARM Templates
ARM Templates - Modular Design and Implementation
Designing and Implementing Serverless Solutions
Azure Integration Solutions
Cost Management
Designing Policies, Locks, and Tags
Azure Solutions Using Azure Container Services
Azure DevOps
Azure OLTP Solutions Using Azure SQL Sharding, Pools, and Hybrid
Azure Big Data Solutions Using Azure Data Lake Storage and Data Factory
Azure Stream Analytics and Event Hubs
Designing IoT Solutions
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