| Start Time (24h) | Speaker | Track | Title |
|---|---|---|---|
| 10:00:00 | Rudi Bruchez | Cloud Application Development Deployment | From relational to Multimodel : Azure Cosmos DB |
| 10:00:00 | Jose Mendes | Cloud Application Development Deployment | Chatbots for Dummies |
| 10:00:00 | Tomasz Libera | Cloud Application Development Deployment | Azure Data Factory v2 |
| 10:00:00 | Catalin Gheorghiu | Application Database Development | “SQL-like” or query languages in Azure IoT |
| 10:00:00 | Margarita Naumova | Application Database Development | Query tuning when indexes cannot help |
| 11:15:00 | Marcin Szeliga | Analytics and Visualization | Image classification with Microsoft Cognitive Toolkit |
| 11:15:00 | Boriana Petrova | Analytics and Visualization | Power BI Tips and Tricks |
| 11:15:00 | Ivelin Andreev | Advanced Analysis Techniques | Data Preparation for Machine Learning |
| 11:15:00 | Miroslav Dimitrov | Cloud Application Development Deployment | Introduction to Azure SQL Data Warehouse for DBAs |
| 11:15:00 | Radoslav Gatev | Cloud Application Development Deployment | Mission: Reactive Cloud - Azure Event Grid |
| 13:00:00 | Kaloyan Kosev | Enterprise Database Administration Deployment | Embrace the future: Running SQL Server in containers |
| 13:00:00 | Michal Sadowski | Enterprise Database Administration Deployment | How to start working in the multiserver environment? |
| 13:00:00 | Dennes Torres | Enterprise Database Administration Deployment | Achieving wonders with Query store |
| 13:00:00 | Denis Reznik | Enterprise Database Administration Deployment | Deadlocks. Everything you ever wanted to ask but were too shy. |
| 13:00:00 | Matt Willis | Analytics and Visualization | The Maths behind Machine Learning |
| 13:00:00 | Todor Matev | Application Database Development | Step by step to weekly or daily releases. Automating database upgrades. |
| 14:15:00 | Marcin Szeliga | Advanced Analysis Techniques | Beyond image classification - object detection with multi-task deep models |
| 14:15:00 | Ivan Donev | BI Platform Architecture, Development Administration | Designing your tabular/PowerBI model for performance and scalability |
| 14:15:00 | Murilo Miranda | Analytics and Visualization | Processing Real-Time Racing Telemetry with Azure Stream Analytics |
| 14:15:00 | Vitali Burla | Analytics and Visualization | Power Query for Better Reporting - 7 scenarios to learn |
| 14:15:00 | Emil Lechev | BI Platform Architecture, Development Administration | IoT and streaming data or how cheating becomes a challenge |
| 15:30:00 | Andrey Nikolov | Application Database Development | The hidden power of Power BI – now with Power BI Embedded |
| 15:30:00 | Janusz Rokicki | Strategy and Architecture | The Road to The Autonomous Databases |
| 15:30:00 | André Melancia | Advanced Analysis Techniques | If a machine can learn, why can't YOU learn Azure Machine Learning? |
| 15:30:00 | Marek Matuszewski | Cloud Application Development Deployment | The power of Microsoft AI Platform combined with Big Data |
| 15:30:00 | Valentin Bonev | Strategy and Architecture | Tenant Data Isolation with Azure SQL DB |
| 16:45:00 | Marek Matuszewski | Analytics and Visualization | 3 Kings in Power BI: ArcGIS Maps, SandDance and Synoptic Panel |
| 16:45:00 | Mihail Mateev | Cloud Application Development Deployment | CosmosDB for IoT Solutions |
| 16:45:00 | Sergiy Lunyakin | Strategy and Architecture | Big Data Analytics Reference Architectures |
| 16:45:00 | Rozalina Zaharieva | Enterprise Database Administration Deployment | SQL Server partitioning - Why, What and How |
| 16:45:00 | André Melancia | Enterprise Database Administration Deployment | Finding The Droids Fast - Indexing For Padawan |
Event Date: 13-10-2018 - Session time: 10:00:00 - Track: Cloud Application Development Deployment
Event Date: 13-10-2018 - Session time: 10:00:00 - Track: Cloud Application Development Deployment
In this session, we will learn how to build, debug and deploy a chatbot using the Azure Bot Service. We will enrich it using the Microsoft Cognitive suite to achieve human like interactions. Will it pass the Turing test, no, but we can extend the bot service using Machine Learning (LUIS), APIs (Web Apps) and Worflows (Logic Apps).
Event Date: 13-10-2018 - Session time: 10:00:00 - Track: Cloud Application Development Deployment
Event Date: 13-10-2018 - Session time: 10:00:00 - Track: Application Database Development
In this presentation we will explore Azure IoT places where queries are used and see how to use them. And in the process to find out more about this “SQL-like” languages and how being a DB developer cam make you a IoT hero. We will concentrate on the scenarios with the greatest impact, where a little SQL can solve you a lot of hassle. So, we will leave no SQL query unturned in Azure IoT Hub, Stream Analytics, Power Bi to name a few.
Event Date: 13-10-2018 - Session time: 10:00:00 - Track: Application Database Development
Event Date: 13-10-2018 - Session time: 11:15:00 - Track: Analytics and Visualization
This breakthrough was possible due to use of deep learning models for such tasks as image and film classification, sound recognition and natural language processing. All of these skills that people come naturally are relatively difficult to machines. Only a combination of three factors: a large amount of available training data, blazing fast computers and innovative deep learning algorithms allowed computers to see, hear and understand colloquial language. During this session we will learn the principle of deep learning models for visual recognition, starting from linear models and model hyperparameters, through general neural networks, to convolutional neural networks. All this theory will be augment by examples — we will build and compare different models using Cognitive Toolkit.
Event Date: 13-10-2018 - Session time: 11:15:00 - Track: Analytics and Visualization
Event Date: 13-10-2018 - Session time: 11:15:00 - Track: Advanced Analysis Techniques
ML is trendy and Microsoft already have more than 10 services to support ML. So we will focus on tools like Azure ML Workbench and Python for data preparation, review some common tricks to approach data and experiment in Azure ML Studio.
Event Date: 13-10-2018 - Session time: 11:15:00 - Track: Cloud Application Development Deployment
Event Date: 13-10-2018 - Session time: 11:15:00 - Track: Cloud Application Development Deployment
Join me in this session to see how we can build a reactive cloud using Azure Event Grid which is a serverless model of the publish/subscriber model, built for the cloud. The service reached general availability earlier this year and it can turn out be more powerful than you suspect.
Event Date: 13-10-2018 - Session time: 13:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 13-10-2018 - Session time: 13:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 13-10-2018 - Session time: 13:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 13-10-2018 - Session time: 13:00:00 - Track: Enterprise Database Administration Deployment
Classic deadlock can occur when two concurrent transactions are modifying data from the two tables in a different order. Unfortunately, in real life deadlocks often are more complex and unobvious. One of the rules, which I always keep in mind, sounds: "You can not design a database, in which the occurrence of deadlock is impossible". And we should deal with them. The algorithm is simple:
In this session, we will look at ten various deadlocks scenarios and find the root cause of the deadlocks. Then, you will see how it will be easy to get the solutions for the deadlock issue if we did the second step.
Event Date: 13-10-2018 - Session time: 13:00:00 - Track: Analytics and Visualization
This session will look to do just that, looking at some of the most popular algorithms used today, we will explore the maths involved, to help us understand our problems and get the best results possible. We will be also diving into practical examples, using Databricks to consume a dataset and to visualise results, with R scripts to execute the Machine Learning models.
If you would like an introduction to the world of Machine Learning and to acquire a solid grounding that will help you develop the skill, then this is the session for you.
Event Date: 13-10-2018 - Session time: 13:00:00 - Track: Application Database Development
How you can easily support and update DB scheme and data by SQL Server Db Project, how it helps to make fast releases. What is the right branch strategy, automating and continuous integration. You can see how SQL server DB Project helps you prepare update script, easy comparison between PRO and Dev Db scheme without direct access to PRO. How each Developer will own Dev Db for 2 – 3 seconds. How you can make fast and safety refactoring of the name of column, table, view, sp and so on. What is the right way to structure DB Project? How we can make an easy code review of DB change by Developers?
Language: Bulgarian
Event Date: 13-10-2018 - Session time: 14:15:00 - Track: Advanced Analysis Techniques
In this session we will take different approach and built state of the art object detection model in easy to understand steps. First, we are going to make sure that everybody understand concepts of convolution networks, the importance of model architecture and loss function. Then we are going to build a model that will classify single object, a model that finds this object on a picture, and a model that combine both and is able to classify and localize the largest object in each image. Finally, we will move to multiple objects detection, discus latest architectures and design appropriate loss function for this task. All this illustrated with examples built using fastai library.
Event Date: 13-10-2018 - Session time: 14:15:00 - Track: BI Platform Architecture, Development Administration
Event Date: 13-10-2018 - Session time: 14:15:00 - Track: Analytics and Visualization
Event Date: 13-10-2018 - Session time: 14:15:00 - Track: Analytics and Visualization
Event Date: 13-10-2018 - Session time: 14:15:00 - Track: BI Platform Architecture, Development Administration
Event Date: 13-10-2018 - Session time: 15:30:00 - Track: Application Database Development
Event Date: 13-10-2018 - Session time: 15:30:00 - Track: Strategy and Architecture
Event Date: 13-10-2018 - Session time: 15:30:00 - Track: Advanced Analysis Techniques
AzureML isn't just for "data scientists"... Anyone can use it! And after this session you'll be using it too... Disclaimer: Sadly, AzureML still can't predict what's on your girlfriend's mind. Nothing ever will.
Event Date: 13-10-2018 - Session time: 15:30:00 - Track: Cloud Application Development Deployment
We will destroy a car model LIVE on the scene just to showcase the way how the pattern recognition with Microsoft Cognitive Services work. During the session we will build a BOT that will speak with a voice of a volunteer. There are couple surprises which will make the session dynamic, interactive and informative.
Event Date: 13-10-2018 - Session time: 15:30:00 - Track: Strategy and Architecture
Event Date: 13-10-2018 - Session time: 16:45:00 - Track: Analytics and Visualization
The whole session is a pure LIVE DEMO
Event Date: 13-10-2018 - Session time: 16:45:00 - Track: Cloud Application Development Deployment
In this presentation, you will learn: • Why CosmosDB is a good option for IoT Database • Challenges with data in IoT Solutions • How to create IoT applications using CosmosDb • Best practices designing IoT applications with CosmosDB • Best practices creating queries. • Tips and Trick using CosmosDB for IoT Solutions
Event Date: 13-10-2018 - Session time: 16:45:00 - Track: Strategy and Architecture
Event Date: 13-10-2018 - Session time: 16:45:00 - Track: Enterprise Database Administration Deployment
Event Date: 13-10-2018 - Session time: 16:45:00 - Track: Enterprise Database Administration Deployment
Indexes are the kubaz informants of database engines. If you never heard of indexes or are afraid to use them, this session is for you! We'll cover indexing basics, introduce all SQL Server 2016 indexing options and look at some typical optimisation scenarios. Session suited for Developers, DBAs and Students (padawan level). Disclaimer: This session might be a trap.