The Windows 10 universal app platform is designed to enable game developers to create high performance games that can target the broadest range of devices with a single code base. Whether you're planning the next AAA blockbuster, or building a mobile mini-game in your basement, Windows provides flexibility and power that you need. This session will introduce Microsoft's latest game development tools, platform, services and ecosystem. Come see demonstrations, best practices and learn proven usage patterns that leverage DirectX and the WinRT APIs to target the Xbox and Windows ecosystem of devices.
For machine learning, Hadoop offers new performance capabilities, but not the intrusion of Hadoop's accompanying tradeoffs--performance, resource consumption, and data management. Machine learning users should consider Hadoop as a portion of a solution, but not the end-all. Alternatives such as dedicated servers, in-database deployment, and memory-based alternatives like Apache Spark can be combined with Hadoop to address a far broader array of opportunities. Fortunately for Revolution R users, Revolution R Enterprise (RRE) enables analytical scripts and models built in RRE to port between platforms with relative ease. In this session, we'll review the considerations for R developers, including performance, resource management, and data handling for deployment on Hadoop, individual servers, clusters and grids, in-database, and in-memory, including Apache Spark. We'll also dive briefly into the internals RRE on Hadoop to deepen awareness of some of the tradeoffs.