| Start Time (24h) | Speaker | Track | Title |
|---|---|---|---|
| 09:40:00 | Liviu Ieran | Cloud Application Development Deployment | Azure Data Explorer - Fast and highly scalable interactive analytics |
| 09:40:00 | ILIE Mugurel | Application Database Development | Handling JSONs in SQL Server 2016 |
| 09:40:00 | André Melancia | AIML Architecture, Development Administration | BI Powers - The A.I. Who Tagged Me |
| 10:40:00 | Dennes Torres | AIML Architecture, Development Administration | PowerBI: From Zero to Hero |
| 10:40:00 | Dragos Madarasan | Cloud Application Development Deployment | Running Microsoft SQL Server on Amazon Web Services |
| 10:40:00 | Miroslav Popovic | Application Database Development | Visual Studio productivity |
| 11:20:00 | Shehab El-Najjar | Application Database Development | T-SQL Performance Guidelines for the optimal DB stress powers |
| 11:50:00 | Dejan Sarka | AIML Architecture, Development Administration | Data Overview and Manipulation – T-SQL, R, Python |
| 11:50:00 | André Melancia | AIML Architecture, Development Administration | If a computer can understand, why can't YOU understand Azure Cognitive Services? |
| 11:50:00 | Alexandra Ciortea | Cloud Application Development Deployment | SQL Managed Instance - From the ground to the cloud |
| 13:20:00 | Erland Sommarskog | Application Database Development | When Things go Wrong - Error Handling in SQL Server |
| 13:20:00 | Cristian Lefter | AIML Architecture, Development Administration | AI in Power BI |
| 13:20:00 | Ivan Čuljak | Cloud Application Development Deployment | How to be polite with databases when going serverless |
| 14:30:00 | Dejan Sarka | AIML Architecture, Development Administration | SQL Server Data Science: Python or R? |
| 14:30:00 | Michal Sadowski | Application Database Development | Encryption in SQL Server |
| 14:30:00 | Mihail Mateev | Cloud Application Development Deployment | Connecting IoT data with artificial intelligence at scale |
| 15:40:00 | Alexandru Craciun | Application Database Development | SQL Server full optimization |
| 15:40:00 | Deji Akomolafe | Cloud Application Development Deployment | Successfully Virtualizing SQL Server on vSphere - Straight from the Source |
| 15:40:00 | Damir Bulic | Cloud Application Development Deployment | Lightning-fast management of cloud and legacy databases, breaking vendor lock-in |
Event Date: 08-06-2019 - Session time: 09:40:00 - Track: Cloud Application Development Deployment
I am going to provide an overview of Azure Data Explorer, an interactive analytics service that will enable you to ask the questions on real time data. You can find answers in rapidly changing data generated by systems such as applications, websites, and IoT devices – anything really that generates volumes of streaming data that has potential to uncover a number of unknowns.
Event Date: 08-06-2019 - Session time: 09:40:00 - Track: Application Database Development
During this session will talk about JSON representation and will explore the new functions used for handling the content from a JSON file. Based on some examples we'll transform a JSON text to relational table and then will export some data from SQL Server as JSON.
Event Date: 08-06-2019 - Session time: 09:40:00 - Track: AIML Architecture, Development Administration
Disclaimer: A.I. will eventually take over the world. Unlike Doctor Evil, it won't ask for a ransom.
Event Date: 08-06-2019 - Session time: 10:40:00 - Track: AIML Architecture, Development Administration
Event Date: 08-06-2019 - Session time: 10:40:00 - Track: Cloud Application Development Deployment
Event Date: 08-06-2019 - Session time: 10:40:00 - Track: Application Database Development
Event Date: 08-06-2019 - Session time: 11:20:00 - Track: Application Database Development
Event Date: 08-06-2019 - Session time: 11:50:00 - Track: AIML Architecture, Development Administration
Event Date: 08-06-2019 - Session time: 11:50:00 - Track: AIML Architecture, Development Administration
If you are a developer and know nothing about Azure Cognitive Services for free, this is a good place to start. Disclaimer: Cognitive services will never guess a doctor's handwriting. That's just impossible.
Event Date: 08-06-2019 - Session time: 11:50:00 - Track: Cloud Application Development Deployment
Event Date: 08-06-2019 - Session time: 13:20:00 - Track: Application Database Development
This presentation starts with a horror show of the many different actions SQL Server can take in case of an error. We will then learn how should deal with this - what we should do and what we should not and that with SET XACT_ABORT we get better consistency. We will learn how TRY-CATCH works in SQL Server, and we will get a recipe for how to write CATCH blocks. More generally, we will learn why it pays off to be simple-minded to survive in this maze. The session mainly looks at traditional T-SQL code, but the session ends with a quick look at natively compiled stored procedures, where everything is different.
Event Date: 08-06-2019 - Session time: 13:20:00 - Track: AIML Architecture, Development Administration
Azure Cognitive Service comes with a set of powerful, pretrained models for intelligent applications. At this point, four of them are exposed in Power BI: language detection, sentiment scoring, key phrase extraction, and image tagging. These models can be used on textual data or images. During the 60 minutes of the sessions we will find out together the answer to the questions WHAT, HOW and the most important one, WHY. Fun is guaranteed :)
Event Date: 08-06-2019 - Session time: 13:20:00 - Track: Cloud Application Development Deployment
First of all, we're gonna focus on how to communicate with a database from your serverless system presuming that there aren't any parallel requests to the database. In that way, we'll first polish cold starts, memory/CPU consumption, and basically everything we need to worry about now when we're not running our code on servers with 10+ cores, and tens of GB of RAM. Once we're done with the first task, we'll end up with something that can quickly and effortlessly communicate with our database. Which is perfect, except in cases where we handle thousands or more of parallel requests to the database which isn't scalable as serverless is. That brings us to our second task- making sure our serverless system won't DDoS our databases :) Come and find out how to approach this problems ;)
Event Date: 08-06-2019 - Session time: 14:30:00 - Track: AIML Architecture, Development Administration
Event Date: 08-06-2019 - Session time: 14:30:00 - Track: Application Database Development
Event Date: 08-06-2019 - Session time: 14:30:00 - Track: Cloud Application Development Deployment
IoT solutions to generate more data than traditional systems and users can analyse. Nowadays, AI enabled software solutions that optimize equipment and process performance for large industrial customers. These solutions use large volumes of real-time, batch data from equipment and processes in real time, and apply AI/ML algorithms to predict failures and anomalies as well as optimize performance. The concept is explained in the context of Azure IoT and Azure AI platforms.
Event Date: 08-06-2019 - Session time: 15:40:00 - Track: Application Database Development
Event Date: 08-06-2019 - Session time: 15:40:00 - Track: Cloud Application Development Deployment
Event Date: 08-06-2019 - Session time: 15:40:00 - Track: Cloud Application Development Deployment
We have started from scratch, imagining the ideal database manager for modern times. UI responds to your actions in less than 0.1 seconds and your data stays in the cloud. Connection switching is instant and the workspace is preserved between devices and application restarts. A sneak peek - state of the art SQL code translation solution - removing vendor lock-in. This is a work-in-progress report, detailing why it's so hard to get right and why does it take so long to make something seemingly simple - not a sales talk, not a self-congratulatory talk.