Cloud, social and proliferation of devices have changed the way we work, collaborate and manage our tasks and projects. During this keynote Jared will talk about Microsoft's vision for business productivity & project management, share industry trends and provide insights into how Microsoft is thinking about future product investments. A career software professional, Jared’s experience includes roles in engineering, product management, product marketing, and sales. He holds an MBA from the MIT Sloan School of Management and a BS in computer science from Brigham Young University.
When building solutions for the Cloud it is critical to understand that every architecture decision has even more impacts than before as a bad code might get you out of business. For this reason in this session we will be focusing on:
Breaking down the baseline concepts of Cloud design
Defining the critical considerations which we should have when designing new Cloud solutions
Looking at Architectural Patterns which can help us succeed in this space, like Microservices, CQRS and Event Sourcing
Looking at real life examples of Azure Cloud Architectures, the trade-offs and results
Lessons Learned Building Azure Solutions
The key goal of this session is to create awareness of what considerations, architectural patterns and trade-offs should be done in order to have successful Cloud solutions and even more specific to Azure solutions.
Companies in the very near future will need to be able to react to things that are happening around them in a timeframe that allows for decisive action. Being able to do a weekly batch insert from your OLTP systems into an analytical database are always going to be needed but what if your business needs to make decisions as soon as something happens and not whenever you load the datawarehouse? Banking, Betting, Motor Sport and Manufacturing.
This is where technologies like Azure Stream Analytics are at their best. Being able to query a stream of events and reason over those events is extremely powerful.
In this session, I am going to show you some of the things you can do in Stream Analytics. Correlation with a lookup dataset, all a machine learning function and Windowing. Too many people are wary of real-time data, this session will show you that you don't need to be.
We will take a look at what's new in Kinect for Windows v2 including the improvements in core sources like Infrared and Depth data. We will also show how the new Kinect Studio enables Kinect development even while travelling via plane, train, or automobile (note: you should not dev and drive) and how Kinect Interactions can be used to add a new input modality to Windows Store applications.