In this video Scott Hanselman delivers one of the best and personal demos, he'll show you how a combined solution using technologies such as IoT devices, cloud platforms, Machine Learning and Office API's can come together to solve even the most complex problems.
The HealthClinic.biz demo used in the video can be found in the repo at https://github.com/Microsoft/HealthClinic.biz/. The samples in the repo are used to present an end-to-end demo scenario based on a fictitious B2B and multitenant system, named "HealthClinic.biz" that provides different websites, mobile apps, wearable apps, and services running on the latest Microsoft and open technologies.
You've migrated parts of your application to in-memory. But now you are not seeing a serious performance improvement, or maybe even a performance degradation! What's going on? In this session we walk you through several performance problems we have seen with customers, and show how to diagnose and resolve the issues to ultimately obtain the performance improvement you're looking for from in-memory OLTP. We address a variety of issues, including log IO bottlenecks, index tuning, and query plan problems.