Take a lightning tour of the many connectivity options for Windows 8.1 and Windows Phone 8.1 Store Apps. There are more than ever before: HTTP networking APIs, NFC and Bluetooth including ‘tap to connect’ and WebApi REST services are just the tip of the iceberg. See how to build apps that work with DataSense 2.0. Store settings and data in Microsoft OneDrive. Share state between a Windows Phone 8.1 app and the Windows 8.1 version of your app. See some practical demos, such as how to implement compression with HTTP networking and how you can handle credentials when accessing services that require user authentication. We’ll also take a quick look at building a mobile back end with Microsoft Azure Mobile Services and connecting with it from your app.
Analysts predict that there will be anywhere from 24 to 200 billion Internet connected devices by 2020. Imagine every device as an object that is capable of exchanging voluntary information about itself and its environment as well as executing commands via APIs to act on their environments. What's more, the analytical insights gleaned from this data will have the potential to transform existing business while creating new ones. The Internet of Things is here, and the heterogeneity of devices, messaging considerations, security constraints, volume of data and compute requirements are significant. In this talk, seven-time MVP and Microsoft Azure MVP Rick G. Garibay will provide a deep dive into the various ways in which devices can be connected today and how a service-assisted communication model is really key to tackling the myriad of constraints that exist today. We'll explore the strengths and weaknesses of various communication models and application protocols and how the Azure Reykjavik Device Gateway Accelerator addresses your needs today while providing the extensibility and scale to meet your needs as your IoT strategy grows. You'll learn how to get up and running on your Azure subscription with the Master and Partition roles, how to register a device and flow telemetry, inquires, commands and notifications through the Reykjavik fabric leveraging Azure Storage, HD Insight along with a look at how you can extend the fabric with custom protocol gateway and telemetry adapters.
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!