Xamarin has 5 years of history, but it's just part of 15 years of history of the Mono Project, which has been often collaborating with Microsoft. [Atsushi] explains how it had risen from ground zero to become part of Microsoft now.
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.
Xamarin.Forms offers a way to quickly build iOS, Android, and Windows apps that look and feel native while reusing large amounts of code. Forms makes it easy to get your first app up and running, but where it really shines is accelerating the development of complex apps that put real functionality in users' hands.
In this session, we will build off the basics of Xamarin.Forms to quickly add valuable features to our app: bringing in Azure App Services to quickly add authentication and data storage, writing a custom renderer, and more. We'll see how easy it is to build beautiful UIs in XAML with the help of the new Xamarin.Forms Previewer. We'll leverage Xamarin.Forms to build a real-world application with less time, less effort, and less code.