Der Betrieb von virtuellen Maschinen mit kritischen Daten ist oftmals eine Herausforderung für die Unternehmens-IT. Insbesondere, wenn die Datensicherheit für diese VMs in Zweigniederlassungen oder Outsourcing-Szenarien gewährleistet werden soll.
Auch Hoster möchten die virtuellen Systeme Ihrer Kunden effektiv vor unerlaubtem Zugriff schützen. Ebenso sollen Kunden die Kontrolle darüber haben, welchen Hostern sie vertrauen ihre VMs ausführen zu können - und welchen nicht.
Office 2016 is empowering people and businesses everywhere to do more. In this session, you will hear from Microsoft product experts Eric Hudson and BJ Haberkorn about the newest features in the Office Suite.
Security and Compliance are two of the biggest concerns for businesses who are looking to migrate workloads to the public cloud. Businesses can take advantage of Configuration Manager 2012 R2 (ConfigMgr) and Security Compliance Manager (SCM) to keep their Azure VMs in 'green' state while reducing the attack surface and security risks of their VMs. In this session we'll take a look at how to secure your Azure VMs using Endpoint Protection, maintain patch level using ConfigMgr 2012 R2 and how to meet your security compliance requirements using SCM and ConfigMgr Compliance Settings. Presenter: Andreas Wasita (Kloud)_x000D_
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.