Over the last years, many customers have had to deal with cyber attacks targeted at intellectual property. We have entered a new phase in which criminals unleash destructive attacks, rendering IT environments unusable and effectively halting business. Consumerization of IT and the cloud add inherent tension and security implications to this new reality. How can one deal with data that moves in and out of your datacenters, to unmanaged devices and cloud services not directly under your control? How can you create a cost efficient architecture and plan for prevention, detection, and recovery in a time where cloud and consumerization of IT are high on every CxO's agenda? The presenters of this session have been on the Targeted Attack frontline with enterprise customers over the last years. They explain the threats of targeted attacks and share an architecture model using a data classification model, as well as their field experiences and services you can leverage to deal with prevention, detection and recovery.
Every business considering Lync looks at the business case to purchase and deploy differently based on its particular vertical industry, internal environment, and communication strategy and goals. Join us to see how to develop a business case for Lync and get insight into real world examples of how customers in multiple industries have developed successful business cases to deploy Lync, including examples of areas for cost savings for different types or organizations._x000D_
After working with System Center Service Manager for five years, we've managed to learn quite a bit of what to do and what not to do. This session teaches you many of the DO's and DON'Ts on the technic, architecture, organization, and process side.
Доклад посвящен набору компонентов Power BI для самостоятельной аналитике. Рассматривается облачный вариант решения (в составе Office 365) в составе компонентов Power Query, Power Pivot, Power View, Power Map. В качестве демонстрационного примера по анализу ценных бумаг показано извлечение данных из Hadoop для Azure и их комбинирование со статистическими данными из Windows Azure Marketplace.