Book Image

Microsoft Windows Azure Development Cookbook

By : Neil Mackenzie
Book Image

Microsoft Windows Azure Development Cookbook

By: Neil Mackenzie

Overview of this book

The Windows Azure platform is Microsoft's Platform-as-a-Service environment for hosting services and data in the cloud. It provides developers with on-demand computing, storage, and service connectivity capabilities that facilitate the hosting of highly scalable services in Windows Azure datacenters across the globe. This practical cookbook will show you advanced development techniques for building highly scalable cloud-based services using the Windows Azure platform. It contains over 80 practical, task-based, and immediately usable recipes covering a wide range of advanced development techniques for building highly scalable services to solve particular problems/scenarios when developing these services on the Windows Azure platform. Packed with reusable, real-world recipes, the book starts by explaining the various access control mechanisms used in the Windows Azure platform. Next you will see the advanced features of Windows Azure Blob storage, Windows Azure Table storage, and Windows Azure Queues. The book then dives deep into topics such as developing Windows Azure hosted services, using Windows Azure Diagnostics, managing hosted services with the Service Management API, using SQL Azure and the Windows Azure AppFabric Service Bus. You will see how to use several of the latest features such as VM roles, Windows Azure Connect, startup tasks, and the Windows Azure AppFabric Caching Service.
Table of Contents (16 chapters)
Microsoft Windows Azure Development Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Introduction


The Windows Azure Table Service is the Windows Azure Storage Service feature that provides cost-effective scalable storage of entities. In this chapter, we focus on the Table service. In related chapters, we look at the other storage services: the Blob service and the Queue service.

During the last three decades, relational databases have become the dominant data system. Relational databases are transaction-oriented and implement ACID semantics in which database transactions are atomic, consistent, isolated, and durable. These are important considerations for a data system where data fidelity is absolute, such as those used in a financial system. However, large-scale data systems implementing ACID semantics are extremely expensive.

In the last decade, there has been a growing interest in creating cost-effective, large-scale data systems. This interest is driven primarily by the data mining needs of social websites that generate enormous amounts of click-stream data. Much of this...