Join this session to learn how Microsoft IT is successfully managing the Application lifecycle in their System Center 2012 Configuration Manager R2 environment with zero touch. Deep technical overview on how Microsoft IT automates LOB application publishing by leveraging System Center Orchestrator, Configuration Manager cmdlets, PowerShell scripts, and Team Foundation Server. This session covers the key stages of the application lifecycle for Windows 8.1, Windows Phone, Windows RT, and iOS – starting with Application object creation, deployment, supersedence, and ending with the retirement/removal of the application object from the environment—all this without the administrator having to lift a finger.
Azure Stream Analytics es el servicio perfecto para analizar datos en tiempo real que provienen de diferentes tipos de dispositivos. ¿Quieres tomar decisiones de negocio en tiempo real sobre datos en movimiento?, ¿Necesitas conocer estadísticas sobre el uso de tu negocio? Ven a esta sesión para conocer como Event Hub y Stream Analytics te pueden ayudar
For machine learning, Hadoop offers new performance capabilities, but not the intrusion of Hadoop's accompanying tradeoffs--performance, resource consumption, and data management. Machine learning users should consider Hadoop as a portion of a solution, but not the end-all. Alternatives such as dedicated servers, in-database deployment, and memory-based alternatives like Apache Spark can be combined with Hadoop to address a far broader array of opportunities. Fortunately for Revolution R users, Revolution R Enterprise (RRE) enables analytical scripts and models built in RRE to port between platforms with relative ease. In this session, we'll review the considerations for R developers, including performance, resource management, and data handling for deployment on Hadoop, individual servers, clusters and grids, in-database, and in-memory, including Apache Spark. We'll also dive briefly into the internals RRE on Hadoop to deepen awareness of some of the tradeoffs.