| Start Time (24h) | Speaker | Track | Title |
|---|---|---|---|
| 10:10:00 | André Melancia | Advanced Analysis Techniques | I'm not sorry, Dave... ML.Net can do that! |
| 10:10:00 | Amit R S Bansal | Enterprise Database Administration Deployment | Real-World Query Tuning Examples |
| 10:10:00 | Ramesh Satya | Application Database Development | Understanding SQL Server Views - The Right Way |
| 10:10:00 | Andrey Nikolov | BI Platform Architecture, Development Administration | Double Power - Managing Power BI with PowerShell |
| 10:10:00 | Margarita Naumova | Strategy and Architecture | What’s in the Cloud for my Datawarehouse |
| 11:20:00 | Dennes Torres | Application Database Development | Notebooks and other wonders in Azure Data Studio |
| 11:20:00 | Marco Dal Pino | Cloud Application Development Deployment | Azure SQL Database EDGE, put your SQL wherever you want! |
| 11:20:00 | Erland Sommarskog | Application Database Development | Don't Bite Off More Than You Can Chew - Take It in Chunks |
| 11:20:00 | Ivan Donev | Cloud Application Development Deployment | Azure Data Factory - how to implement incremental loads for PARQUET |
| 11:20:00 | Boriana Petrova | Advanced Analysis Techniques | Working with parameters in Power Query |
| 13:00:00 | Torsten Strauss | Application Database Development | Performance Tuning with Optimistic Concurrency |
| 13:00:00 | Ivelin Andreev | Analytics and Visualization | The NextGen in Time Series Landscape |
| 13:00:00 | Margarita Naumova | Enterprise Database Administration Deployment | A database that takes it all |
| 13:00:00 | Georgi Petkov | Advanced Analysis Techniques | Monitoring SSAS processing performance in Power BI |
| 13:00:00 | Dimo Roussinov | Advanced Analysis Techniques | Designing GDPR compliant Identity management |
| 14:10:00 | Sebastiano Galazzo | Application Database Development | Machine Learning - Best Practices and Vulnerabilities |
| 14:10:00 | Regis Baccaro | Strategy and Architecture | From Gen1 To Gen2. Recipes for a successful Data Lake migration |
| 14:10:00 | Nikola Ilic | Analytics and Visualization | From XL to S - Reduce your Power BI model size by 90%! |
| 14:10:00 | Kaloyan Kosev | Enterprise Database Administration Deployment | End to end, migrating a database to Azure |
| 14:10:00 | Mihail Mateev | Advanced Analysis Techniques | Q A with partners |
| 15:20:00 | Mihail Mateev | BI Platform Architecture, Development Administration | Creating Custom BI Solutions with Power BI Embedded |
| 15:20:00 | Damir Matesic | Application Database Development | Advanced data types – JSON |
| 15:20:00 | Hugo Kornelis | Application Database Development | From adaptive to intelligent: query processing in SQL 2019 |
| 15:20:00 | Javier Villegas | Enterprise Database Administration Deployment | Monitoring SQL Server using Community solutions (Free) |
| 15:20:00 | Catalin Gheorghiu | Application Database Development | Introduction to Computer Vision |
Event Date: 10-10-2020 - Session time: 10:10:00 - Track: Advanced Analysis Techniques
Do Machine Learning in your .Net world in an easy way, by using the ML.Net framework. Don't know how Machine Learning works? This session covers that too. Disclaimer: No monoliths were harmed in the making of this session.
Event Date: 10-10-2020 - Session time: 10:10:00 - Track: Enterprise Database Administration Deployment
Event Date: 10-10-2020 - Session time: 10:10:00 - Track: Application Database Development
Event Date: 10-10-2020 - Session time: 10:10:00 - Track: BI Platform Architecture, Development Administration
Event Date: 10-10-2020 - Session time: 10:10:00 - Track: Strategy and Architecture
Event Date: 10-10-2020 - Session time: 11:20:00 - Track: Application Database Development
Let's dig these features in details and see what they can provide to us
Event Date: 10-10-2020 - Session time: 11:20:00 - Track: Cloud Application Development Deployment
Now we can also use the same approach we have in our client server distributed application even in remote deployed devices frquently not connected to internet. Expand device architecture coverage to include ARM-based devices on top of x64-based architecture. Use Kubernetes to orchestrate your device infrastructure for better efficiency and automation. Run SQL Database Edge connected or offline to support various edge environments.
Event Date: 10-10-2020 - Session time: 11:20:00 - Track: Application Database Development
You can solve this by operating on the data in chunks. Implementing chunking is not that difficult, but there are still pitfalls you can run into. In this session, I will discuss in what situations you may want to use chunking. I will give some best practices for how to implement chunking for good performance and I will highlight some things you need keep in mind, for instance, recovering from interruptions.
I will also look at how you can use chunking for error handling: You want process many rows and you want the good rows to succeed even if some rows yield errors – something you cannot do in a single set-based statement.
Event Date: 10-10-2020 - Session time: 11:20:00 - Track: Cloud Application Development Deployment
Event Date: 10-10-2020 - Session time: 11:20:00 - Track: Advanced Analysis Techniques
Event Date: 10-10-2020 - Session time: 13:00:00 - Track: Application Database Development
SQL Server also offers two optimistic transaction isolation levels where a transaction does not acquire a lock when reading data, which reduces the probability of blocks and therefore leads to significantly better reading performance in a busy database. In this session (level 300), you will learn how to increase the reading performance in a database simply by changing the transaction isolation level to snapshot isolation. You will also understand how SQL Server implements this function internally and what disadvantages it has.
Event Date: 10-10-2020 - Session time: 13:00:00 - Track: Analytics and Visualization
Already Top 1 by popularity, InfluxDB introduces v.2.0 as a revolutionary change. It now uses the new Flux and open source data language, supported in VS Code. Inspired by TOP 1 scripting language – JavaSript. Flux takes a functional approach against data exploration and processing to allow read/write to RDBMS stores and enable the unmatched capability to enrich and filter time series with external RDBMS data on query level. Check this session out to embrace the upcoming changes.
Event Date: 10-10-2020 - Session time: 13:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 10-10-2020 - Session time: 13:00:00 - Track: Advanced Analysis Techniques
Event Date: 10-10-2020 - Session time: 13:00:00 - Track: Advanced Analysis Techniques
Event Date: 10-10-2020 - Session time: 14:10:00 - Track: Application Database Development
For projects carrying a simple or well kown problem we can find a lot of ready-made solutions, but this extremne easy to use could be one of our best enemy when facing with specific custom problems. With this session we will cover how to apply best practices in configurin ML but much more, do we reaaly need it always? The second part will cover vulnerabilities of ML discovering how easy could be to fool a neural network by some techinques (Like pixel attack) and their implication in projects that requires no security issues.
Event Date: 10-10-2020 - Session time: 14:10:00 - Track: Strategy and Architecture
Event Date: 10-10-2020 - Session time: 14:10:00 - Track: Analytics and Visualization
In this session, we will dig deep to discover what is “under the hood” of Power BI, how your data is being stored, compressed, queried, and finally, brought back to your report. After the session, you will get a better understanding of the hard work happening in the background and appreciate the importance of creating an optimal data model in order to get maximum performance from the Power BI engine.
Finally, you will see a real use-case demo showing how the Power BI data model was reduced by 90%!
Event Date: 10-10-2020 - Session time: 14:10:00 - Track: Enterprise Database Administration Deployment
What tools should we use? How do we choose the best approach? How do we analyse the source remove blockers? What are the actual steps we need to take during the migration? How we use the newly set database? It all depends! So lets make it all clear!
Event Date: 10-10-2020 - Session time: 14:10:00 - Track: Advanced Analysis Techniques
Event Date: 10-10-2020 - Session time: 15:20:00 - Track: BI Platform Architecture, Development Administration
Microsoft Power BI Embedded helps Independent Software Vendors to use Power BI data experiences within their applications. Customers, who use applications with Power BI Embedded don’t need to have a Power BI account or to know anything about this Azure service. This talk is a practical session on Microsoft Power BI Embedded concept with many examples how to create custom BI solutions using this technology.
Event Date: 10-10-2020 - Session time: 15:20:00 - Track: Application Database Development
Main topics:
Event Date: 10-10-2020 - Session time: 15:20:00 - Track: Application Database Development
In this high-paced session, we will look at all these features and cover some use cases where they might help - or hurt! - you.
Event Date: 10-10-2020 - Session time: 15:20:00 - Track: Enterprise Database Administration Deployment
Event Date: 10-10-2020 - Session time: 15:20:00 - Track: Application Database Development
This presentation aim is to get you started, to help pick what you need for your solution. We will going to find out what is OpenVINO, what is IR what, what kind deep learning models you can use, explain what is Azure IoT Edge, for what you can use Cognitive Services . In short you will get almost all information you need to start trying your hand at Computer Vision.