In a world where a person’s portfolio of devices and peripherals interoperate seamlessly, docking plays an important role by enabling portability and productivity through quickly, seamlessly, and more securely connecting the peripherals a user needs to accomplish a task. This session will provide system and device builders with the guidance to create great hardware that lights up the Windows 10 docking user experience. Topics include: overview of the Windows 10 docking user experience, implementation details for docking technologies: WiGig, Miracast, USB type-C, and guidance for solutions with custom docking connectors. Intended Audience: OEMs, ODMs, IDHs, IHVs, Peripheral Manufacturers, Driver Developers.
Day 3 of Imagine Cup and the presentations of the Innovation, Games and World Citizenship just took place. Students had 10 minutes to present to the judges and tomorrow we find out who gets 1st, 2nd and 3rd places. Pablo and Golnaz catch up with one team from the Innovation category to see how they felt the with their presentation!
In this report, we shall focus on the capabilities of the new control panel in Azure (Azure Portal Preview), which is a single workspace for developing and managing cloud applications. Implementation of this new panel is not just merely an interface change, it is a new approach to DevOps. This report includes a demonstration of how to establish continuous deployment of websites and databases, manage builds and tests, as well as track their relationship with tasks and work items.
This session introduces the newest services in the Cortana Analytics family: Apache Spark™ is a powerful open source processing engine built around speed, ease of use and sophisticated analytics. It includes support for interactive queries (SQL), advanced analytics (e.g. ML) and streaming over large datasets. This session will show you how to use Apache Spark as part of Cortana Analytics. Azure Data Lake is a hyper-scale data repository designed for big data analytics workloads. It provides a single place to store any type of data in its native format. In this session, we will show how the HDFS compatibility of Azure Data Lake as a Hadoop File System enables all Hadoop workloads including Azure HDInsight, Hortonworks and Cloudera. Further, we will focus on the key capabilities of the Azure Data Lake that make it an ideal choice for storing, accessing and sharing data for a wide range of analytics applications. The Azure Data Catalog is an enterprise-wide metadata catalog that enables self-service data source discovery. Data Catalog is a fully managed service that stores, describes, indexes, and provides information on how to access any registered data source in your organization. This session presents an overview of the Data Catalog and how – by using it to register, enrich, discover, understand and consume data sources – you can close the gap between those seeking information and those creating it.