SharePoint consultants and developers work in projects, and most SharePoint environments are large. As a best practice, the development and test environments should be as equal as possible to the production environment. In reality, SharePoint development and test environments are not as equal as possible. Based on Microsoft Azure Infrastructure as a Service (IaaS), we have a chance to get the environment as equal as possible and to speed up projects and reduce project cost from planning through final deployment of hardware requirements on production environments. Consultants can act faster, or shall we say "very fast". This session demonstrates how to use the Microsoft Azure Management Portal, Windows PowerShell or Microsoft System Center to manage many environments like SharePoint farms in Azure and to deploy the 1-n farms via script, to manage more than 100 cores and terra bytes of VHDs on-demand. Learn how to scale your SharePoint environment up and down, and switch off all resources to scale based on your needs on-demand. Learn to load test on-demand in SharePoint on Azure, for better quality in your production environment. At the end of the Session, you'll understand the latest thinking on Infrastructure as a Service for SharePoint, and the difference from standard hosting. We also discuss how to design a SharePoint Farm for Azure IaaS for Scale-up/-down, and out and off. Focusing on SharePoint and SQL Server and BI, we demonstrate the mechanism to enroll large environments in minutes and to bring them into a very low-cost state for non-business hours, based on demand. With this thinking, IT environments like SharePoint are designed for high availability. At the end of session you'll see the cloud and Azure from a new perspective, and see that hosting is not all the time 24x7, with high availability.
Visual Studio 2013 has been a small jump in version number from 2012, but don't be fooled – from your first time using it you discover it is the little things that make a big impact in your day-to-day development friction. In this session, Colin Bowern highlights the little changes from getting started to optimizing your app that make this a worthy upgrade for your tool chain, no matter the type of application you build.
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.