/// NOTE: Sessions are 60 min long(including questions) with 15 min breaks between sessions.
Introduction and Keynote
Stretching SQL Server database in Azure
Margarita Naumova | Level: Begginer
In SQL Server 2016, Stretch Database stores your historical data in the Microsoft Azure cloud. Stretch Database leverages the resources in Microsoft Azure to offload archival data storage and query processing. In this session you will learn what the stretch database is, how it works and what do you need to consider when you decide to implement it for your large databases. Speakers: Magi Naumova and Iva Velkova, Inspirit
Prediction with Azure Machine Learning and Cortana Intelligence Suit
Ivan Donev | Level: Begginer
Scared of starting Machine Learning? Wondering what it is all about? Trying to find a way to deploy your models in real life scenarios? Or just curious what possibilities are out there? Well, let's take an hour and review what Azure ML is, how to get started, deploy our first model and see a real life solution in action!
Servers? We don't need no stinking servers!
Wekoslav Stefanovski | Level: Begginer
In the past few years, the terms serverless computing and microservices has been thrown around a lot, and it seems lots of people that use them do not understand what they are, and more importantly, what they aren't. We'll try to provide some overview, along with a couple of definitions, a recap of the history, and speculation on the future - and of course, demo how Azure fits into the serverless story.
Global Azure Bootcamp call - Bulgaria-Poland-Ukraine-Belarus
AWS vs Azure vs Google Cloud: Practical comparison
Mihail Al. Mateev | Level: Intermediate
AWS and Azure are the only 2 cloud providers that appeared in the “Leaders” quadrant published by Gartner. But, how similar or different are they? AWS leads the cloud space with the right combination of tools in a single platform. Microsoft Azure is a close second offering the best management tools and the most developed PaaS tire. Google Cloud is the next most promising cloud player and is gaining the ground fast. This talk is a practical between these platforms that covers features overview, connectivity, pricing, vertical solutions for different industries with many practical examples. The other speakers for this talk are Radoslav Stankov and Boris Simandoff
IoT with Influx Time Series and Azure Machine Learning
Ivo Andreev | Level: Intermediate
Devices from the IoT realm generate data in a rate and magnitude that make it practically impossible to retrieve valuable information without support of adequate AI engines. Although being one among many solutions available, Azure ML has proved to be a great balance between flexibility, usability and affordable price. Storing and serving billions of data measurements over time is also a non-trivial task addressed by the special class of Time Series DBs. Out of these, InfluxDB has the largest popularity, provides comprehensive documentation and above all - is available open source. This session is about managing and understanding IoT data. Check this out and see how InfluxDB and Azure Machine Learning could support real life problems in building IoT solutions.
Case study: Leveraging the Azure to improve world wide web site performance
Nikolay Dinev | Level: Begginer
The session describes case study of Fortune 500 company which migrate their website to Azure. One of main driver of migration to Azure is to improve response time and end user experience of website. Session will present 3 architectures based on IaaS and PaaS Azure Services created during the project, including designs that didn’t work as expected. Designs will show how to use Azure WebApps, Traffic Manager, CDN, Storage Blob, Azure Automation, Redis Cache etc. Note: This is presentation about Azure Architectures and lessons learned no Visual Studio here :)