Microsoft Azure Stack brings proven innovation from Microsoft's hyper-scale public cloud into your datacenter, providing agility and productivity for application owners, flexibility and control for IT, and assurance that corporate assets are protected. Founded on Azure technologies, Microsoft Azure Stack delivers proven, software-defined infrastructure for existing and next-generation applications. With advanced compute, networking, storage and security solutions, you can unlock new levels of flexibility and performance using industry-standard hardware, on top of which you can deliver Azure-based IaaS and PaaS services in your datacenter. These services can be customized to meet the needs of your users, delivering the same self-service experience as Azure to empower your developers through write-once/deploy-anywhere freedom.
This is an interactive session. Bring you Windows 10 with you. Learn all the steps and requirements to Enable, Configure and use Hyper-V on Windows 10. Bring along your Windows 10 machine and let's work on an interactive session. Let's together create an environment where you will be able to run multiple machines. Come along and learn how you can use PowerShell direct to run commands inside a Virtual Machine. There is a now an easy and reliable way to run Windows PowerShell commands inside a virtual machine from the host operating system. In addition, learn how to remotely manage a Hyper-V server that is not on a domain from your own notebook.
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.
With nearly continuous updates to our cloud infrastructure and major innovations just around the corner, it can be tough to find the time to keep up. Matt McSpirit kicks off Day 3 of TechNet Virtual Conference with a look at some of the Microsoft infrastructure technology you should be trying out for yourself. Tune in for your last chance to win a drone, Lumia 950 XL or Tech Rewards points.