In this introduction video, we will see the basics of Azure Search and how it allows us to search over a large amount of data. We will also see the index management and index population process. At the end, we will see a sample application which integrates with Azure Search and how it's written distributed architecture in mind.
Machine Learning can often be a daunting subject to tackle much less utilize in a meaningful manner. In this session, attendees will learn how to take their existing data, shape it, and create models that automatically can make principled business decisions directly in their applications. The discussion will include explanations of the data acquisition and shaping process. Additionally, attendees will learn the basics of machine learning - primarily the supervised learning problem.
This demo intensive session will focus on the use of Microsoft Azure services to host a back end system for real- time telemetry processing in a 3D racing game. The use of asynchronous queues, worker roles, storage services and websites will be explained. Techniques for real-time data stream processing, data archiving and report generation will be discussed and demonstrated. During the session attendees will have the option to play the game, and see the lap and telemetry data being processed in real time. The session will provide an insight into leveraging the power of cloud-based platforms for high scale telemetry data processing scenarios. The techniques demonstrated will be applicable to many scenarios, from multi-player gaming to device telemetry and the internet of things.