Richard Conway and Andy Cross, Azure MVPs from Elastacloud, take you on a tour de force of Big Data as a workload and the available services on Azure for supporting them. The session begins with introductory outlining of IaaS, PaaS and SaaS offerings; from the complexities and power of building a Linux IaaS cluster to the simplicity and bounded capabilities of Cloud Services via HDInsight. The session will continue to give hands on examples of HDInsight, the Hadoop on Azure service and will conclude with a demonstration of Machine Learning with the new AzureML service.
Modern mobile devices and smartphones are reaching the computing capabilities reserved until recently for desktop PCs. Windows 10 phones and tablets with 8 CPUs and very powerful GPUs are expected soon. Despite significant progress in reducing power consumption these devices are able to draw more power under sustained load than can be safely dissipated with current passive cooling technologies. Windows 10 and the hardware it runs on are designed to safely handle such situations, mostly by reducing the system performance — which could affect game-play negatively. Learn to counter this effect by designing games that achieve sustained thermal-to-quality tradeoffs in these systems.
See how ESRI is using Azure for geospatial analytics. Art Haddad, Location Analytics CTO at ESRI, explains how the ease of development with Microsoft Azure was exactly what ESRI was looking for: "We chose Microsoft Azure because we wanted the best."
Everything in the OWASP TOP 10 is covered in this session, including: Injections, Broken Authentication and Session Management, Cross-Site Scripting (XSS), Insecure Direct Object References, Security Misconfiguration, Sensitive Data Exposure, Missing Function Level Access Control, Cross-Site Request Forgery (CSRF), Using Components with Known Vulnerabilities, Unvalidated Redirects and Forwards.