The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage. Azure Storage, Streaming, and Batch Analytics teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system.

About the technology
Microsoft Azure provides dozens of services that simplify storing and processing data. These services are secure, reliable, scalable, and cost efficient.

About the book

Azure Storage, Streaming, and Batch Analytics shows you how to build state-of-the-art data solutions with tools from the Microsoft Azure platform. Read along to construct a cloud-native data warehouse, adding features like real-time data processing. Based on the Lambda architecture for big data, the design uses scalable services such as Event Hubs, Stream Analytics, and SQL databases. Along the way, you’ll cover most of the topics needed to earn an Azure data engineering certification.

微软Azure云是数据密集型应用的一个理想平台。Azure是为生产力而设计的，它提供了预建的服务，使收集、存储和分析更容易实施和管理。Azure存储、流和批处理分析教你如何通过逐步建立一个完整的工作分析系统，在Azure中设计一个可靠的、性能良好的和经济的数据基础设施。

关于技术

微软Azure提供了几十种服务，简化了数据的存储和处理。这些服务是安全、可靠、可扩展和具有成本效益的。

关于书

Azure存储、流和批处理分析》向你展示了如何利用微软Azure平台的工具构建最先进的数据解决方案。通过阅读，构建一个云原生数据仓库，增加实时数据处理等功能。基于大数据的Lambda架构，该设计使用可扩展的服务，如事件中心、流分析和SQL数据库。在这一过程中，你将涵盖获得Azure数据工程认证所需的大部分主题。