Windows Azure Storage provide massively scalable storage services with local and geo-redundancy. Organizations can store terabytes of data off-site and in a reliable, highly available and cost efficient manner. For those of you wishing to explore the capabilities of Windows Azure Storage there are bound to be a number of questions that will arise. Can a blob storage container really handle millions of blobs effectively? How efficient is a Table Storage query when the table contain over a billion entities? How can these data volumes be uploaded reliably and effectively? How can the usage and billing of a data intensive solution be monitored? This demo-intensive session will answer these questions and show how big data scenarios can be effectively implemented using Windows Azure Storage. The Windows Azure Storage API will be covered in depth, along with techniques to increase the speed and reduce the cost of uploading data to Windows Azure. A solution storing the 4.3 million articles that make up the English Wikipedia content and providing a simple text index search will be used as a case study.
Why should developers care about IaaS? Think of your Windows Azure Datacenter as an Object Model(OM). "IaaS OM" can help us build cost effective systems by only turning on the parts of system that are needed and when they are needed. Additionally, systems built using IaaS can not only be more fault tolerant but also scale in the direction of business growth. We will begin this session with a review of key Windows Azure IaaS concepts including compute, storage and VNET. Next we will walk the "IaaS OM" using Windows Azure Power Shell SDK, including a discussion of bootstrapping VMs. Finally, we will walk through a collection of IaaS scenarios including virtual branch office, single pane of glass for managing on-premises and Azure based resources and hybrid applications that combine IaaS & PaaS.