Most mobile apps require the ability to store data locally on a device to deal with the realities of a disconnected world where a ubiquitous wireless data network is non-existent. While many consumer apps can save light amounts of data as small files, the data requirements of mobile line-of-business apps is much greater. With Windows Phone 8.1 and Windows 8.1, and using MSOpenTech’s new portable wrapper for the embedded database, SQLite, C# and Visual Basic developers can build structured data storage into their apps. Join Rob as he walks you through creating local databases and tables and shows you how to work with offline data. We also take a quick look at the new local data sync capability in Microsoft Azure Mobile Services which uses SQLite for local data storage.
Microsoft Lync includes capabilities for real-time communications such as IM, audio, video, and conferencing. Learn how virtualization solutions impact these communications and how to best deploy Lync when leveraging virtualization capabilities—including server and client virtualization strategies and supported methods. Discuss common virtualization features and their support and impact on Microsoft Lync Server, the virtualization options for Lync Server and Lync clients, and understand the common and recommended methods for sizing and planning a Lync solution that includes virtualized components.
Azure Storage is a highly scalable, available, and durable cloud storage system that stores 30+ trillion objects and serves 3.5+ million requests per second on average. It provides abstractions like Blobs, Files, NoSQL Tables and Queues as well as IaaS data disks —all built on top of the same framework. This talk gives an overview of Azure Storage and the different abstractions. We will dive deeper into Azure data disks which are the underpinning of persisted data in IaaS VMs as well as Azure Files which are ideal for migrating existing applications that rely on network file shares. We will also provide details on Azure Premium Storage Disks, our disk solution for demanding workloads that require consistent, low latency and high IOPs.