Join us for a deep dive into the troubleshooting tools available to Lync voice deployment engineers and administrators. We will dig into the logs and network captures. We will try to have a fun, but deep conversation on how you can, detect and troubleshoot call quality due to network issues. We'll touch on UCCAPI logs, XML, QoE reports, Network Monitor/Wireshark tools. We'll try to have fun with some log based analysis of a call that had or reported issues.
In this session, we discuss how to transform the economics of hybrid clouds built with Cloud OS. We look at the process of metering granular usage and cost data for Microsoft System Center 2012 R2, Windows Server 2012 R2 Hyper-V, Windows Azure Pack, Azure public cloud, and other non-Microsoft IT resources, and then transform it into actionable financial intelligence. We discuss a variety of use cases, such as multi-tenant chargeback and billing, demand forecasting, profit management, technology trends, and what-if modeling, to get a better understanding of how enterprises and service providers are using IT Financial Management to optimize costs and drive greater business agility with the Microsoft cloud platform and Cloud Cruiser.
更重要的是 Microsoft Azure 儲存體提供地理複寫 (GeoReplication)，提供跨地區資料備援能力，一旦發生區域性災害時也能確保資料不遺失與順利存取。實為企業規劃異地備援專案時重要選擇及應用之一。
在此場議程我們將帶您如何以 Azure 作為最佳雲端備份解決方案： • 了解 Windows Azure Backup & Windows Azure Online Backup • 比較與說明 Windows Azure Backup 的優點與好處 • 如何透過 Windows Azure Backup 備份您的 Windows server • 如何透過 Windows Azure Backup 備份您的 SQL Server • 如何透過 Windows Azure Backup 備份您的 Web Site
DAX is not only an expression language, but also a query language and, when it comes to performance, the xVelocity in-memory engine is second to none. Scanning fact tables and performing leaf-level computation happens in a matter of milliseconds. Nevertheless, as with any other language, you can write good DAX or bad DAX, depending on your understanding of the engine internals. This session introduces DAX as a query language, showing the different ways of querying with DAX using real-world data. Some queries will be fast, others will need optimizations. Many practical examples based on common patterns and an analysis of the query plans will show how to get the best out of DAX.