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.
Machine Learning 設計資料採礦預測模型，最後透過 Power BI for Office 365 進行商業智慧分析進行分析與監控。 HDInsight 是 Microsoft 的 Hadoop 架構服務，這項服務會將 100% Apache Hadoop 方案帶入雲端。 HDInsight 這個現代化的雲端架構資料平台可以管理任何類型 (結構化或非結構化) 及任何大小的資料，可讓您取得巨量資料的完整價值。 有了 HDInsight，您可以透過 Microsoft 的現代化資料平台順暢地處理所有類型的資料，因為它提供了簡潔性、管理方便性以及符合企業需求的開放式 Hadoop 服務，而且完全在雲端執行。您可以使用 PowerPivot、Power View 和其他 Microsoft BI 工具來分析自己的 Hadoop 資料，這完全歸功於 Microsoft 資料平台的整合能力。 2014年7月 Microsoft 宣布 Azure Machine Learning (Azure ML) 進入預覽階段。 本課程是台灣微軟首次揭露 Azure Machine Learning結合Big Data 的最新技術分享，內容包括: • 微軟總部大數據專家分享最新的 Big Data Strategy & Reference Architecture • Azure Machine Learning 概覽與實機展示 • 微軟大中華區 Big Data 案例分享 (結合 HDInsight, Azure Machine Learning 與 Power BI for Office 365 的大數據方案) 您一定不能錯過!