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Sessions Found: 17
How it works, differences, scenarios...
It will be few slides and many demos.
Speaker:

Accompanying Materials:

Session Type:
Extended Session (90 minutes)

Track:
Application & Database Development

Level: Intermedia

Session Code:

Date: August 19

Time: 2:20 PM - 3:50 PM

Room: C

About my experience of generating music using different machine learning algorithms, and comparing their results.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Advanced Analysis Techniques

Level: Beginner

Session Code:

Date: August 19

Time: 4:05 PM - 5:05 PM

Room: C

?? ??? ???????? ? ????, ??? ?????? ???? ??? ??????????? ????? ????????? ??????????????? ?????????, ???????? ??????? ???? ??? ??? ????? ? ????????? ?? ???? ???????? ?????. ?? ??? ???? ? ????? ???, ??? ???? ?????? ??????????? ?????????? ? ?????????? ??? ? ?????? ???, ??? ??? ?????? ? ????? ?????? ???????????? ?? ??? ?????, ?? ???? ???????? ? ???? ???, ?? ? ????? ??? ?? ????????? ???????????, ??? ?? ?????? ????????? ??? ? ?????? ? ??????? ?? ?? ??????????? ?????? ? ????????????? CPU, ? ?? ??? ????? ??????????????? ??????????. ???????????, ??? ? ???? ???? "???????????" ???????? ?????????????? ??????? ????????? ?? 100500 ??????????? ?????, ??????? ?????? ??????? ?? ?????????? ???? ?????, ? ?? ?????? ??????? ? ???? ??? ???. ? ???? ???????? ? ??? ??????????? ????? ??????? ??? ?????? ? ????????. ??? ?????????????? ?????? ??? ???????? ??????????? ??????????? ?????, ??????? ? ??? ??????, ? ????????? ???????? ?????? ????????, ??????? ???? ???????? ??? ??????? ???? ?????.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Cloud Application Development & Deployment

Level: Intermedia

Session Code:

Date: August 19

Time: 11:10 AM - 12:10 PM

Room: B

? ??????????? ???? ?????????, ?? ???? ??????????, ???? ????? ???? ?????????? ?  ?????????????. ?????????? ??????, ?? ???? ????????? ???????????? ??????????, ? ????? ?????? ? ???????? ??????? MS SQL Server.  ???? ???????? ?????? ?????????? ????????? ???????????? ?????????? ????????????? ???????.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Application & Database Development

Level: Intermedia

Session Code:

Date: August 19

Time: 10:00 AM - 11:00 AM

Room: B

CosmosDB service is a NoSQL is a globally distributed, multi-model database database service designed for scalable and high performance modern applications. CosmosDB is delivered as a fully managed service with an enterprise grade SLA. It supports querying of documents using a familiar SQL over hierarchical JSON documents. Azure Cosmos DB is a superset of the DocumentDB service. It allows you to store and query noSQL data, regardless of schema.
In this presentation, you will learn:
•	How to get started with DocumentDB you provision a new database account. 
•	How to index documents 
•	How to create applications using CosmosDb (using REST API or programming libraries for several popular language) 
•	Best practices designing applications with CosmosDB
•	Best practices creating queries.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Cloud Application Development & Deployment

Level: Advanced

Session Code:

Date: August 19

Time: 1:10 PM - 2:10 PM

Room: B

In times past, Data Science was only for those elite few with a rare combination of skills including advanced knowledge of statistics.

Microsoft has been making sure that everyone can participate in the data revolution by giving people access to predictive API’s, in-database advanced analytics and drag-and-drop predictive experiments. All thanks to SQL Server 2016 and the Cortana Intelligence Suite in Azure.

These advances have given people with less knowledge of statistics and programming the ability to become what Gartner calls citizen data scientists.
Should we be worried about creating fools-with-tools or should we embrace the democratization of data science as the golden age of data?

Using a combination of theory and demo’s, we explore Microsoft’s solutions to ensure democratization of data science and the possible dangers that lurk below the surface.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Advanced Analysis Techniques

Level: Beginner

Session Code:

Date: August 19

Time: 1:10 PM - 2:10 PM

Room: C

For several years you have been working as a database administrator with few Microsoft SQL Server instances and you have moved to a new project where there is a need to consolidate hundreds of instances. How to tackle this problem? On the session, I will show how to discover, check configuration, apply all best practices and introduce best in class maintenance tasks. And all of that using free community-based tools!
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Enterprise Database Administration & Deployment

Level: Beginner

Session Code:

Date: August 19

Time: 10:00 AM - 11:00 AM

Room: A

Microsoft surprised a lot of people with the announcement that SQL Server is going to be released for Linux. And there we have it - preview releases available in public are regularly delivered, working great and fast.
On my session I'll show details of solution that allowed this idea to come true. We'll see how to install, use and administer Linux version of SQL Server. We'll see it working as a service and in Docker containers. I'll give you details of why the second option is really interesting, or to say it more clearly - groundbreaking.
In addition to slides you're going to see quite a bit of T-SQL and bash code, terminal windows, Visual Studio Code, tools that are familiar to you and new stuff as well.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Enterprise Database Administration & Deployment

Level: Intermedia

Session Code:

Date: August 19

Time: 4:05 PM - 5:05 PM

Room: B

Or how to visualize your data and find insights for beginner IoT developer
If you create an IoT solution today, you have a variety of components available to mix and match to make your solution, akin LEGO.
You get your hardware and firmware right and you get data from the sensors, now what? Of course, you would like to have, some data visualization easy and fast, and of course you would like to learn something from that data easy and fast. And it would be nice to have the results available on mobile devices, yes, yes easy and fast.
Now enter our two titan technologies in a match to the death oops data ?? trying to achieve these goals, you guess it easy fast (and cheap). 
And we will see them clash, from real hardware, to the big Azure cloud, to mobile devices, trying to outmatch each other.
Speaker:

Accompanying Materials:

Session Type:
Regular Session (60 minutes)

Track:
Application & Database Development

Level: Intermedia

Session Code:

Date: August 19

Time: 1:10 PM - 2:10 PM

Room: A

This talk is a parallel, between IoT solutions, based on premise and systems, build with Microsoft Azure components. The presentation will cover the architecture, technology stack, implementation and best practices. We will consider plusses and deltas in different cases, using both approaches. You will see also many demos, which will help you to build own cloud based or on premises Internet of Things systems.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Cloud Application Development & Deployment

Level: Intermedia

Session Code:

Date: August 19

Time: 4:05 PM - 5:05 PM

Room: A

?????? ????? ?? Microsoft Connect ????????? ?????? ? JSON ???? ????? ?? ????? ?????????????? ???, ??????? ???????-?? ??????????? ? SQL Server 2016.

??? ????? ???????... JSON ????? ???? ? ?? ?????????? ?????? ? ???????? ?????? ??? ? ??????? ????? ???????????????? ???? ???????? OLTP/DW ???????? ?? 2 ?? 10 ??? ?? ????????? ? ????? ???????????????? ????????? XML. ????? ????, ? ????? ?? ????????? ?? ?????????? ????? ? ???????????? ???????? JSON ? XML.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Application & Database Development

Level: Beginner

Session Code:

Date: August 19

Time: 4:05 PM - 5:05 PM

Room: C

This session covers the new features in SQL Server 2017 - apart from Linux support

- Using Query Store for automatic tuning of querys which have bad plans (multiple plans with regressions)

- Additional information stored in actual execution plans

- New DMVs e.g. log information, statistics histograms

- Interleaved Execution for multi-statement T-SQL TVFs

- Adapative joins for queries

- Resumable online index rebuild

- Faster non-cluster index builds on memory optimized tables.

- Additional in-memory SQL Surface Area e.g. Computed columns, JSON, CROSS APPLY,sp_spaceused,sp_rename,CASE,TOP N with TIES

- Parallel Redo for memory optimized tables, increases throughput for Always On Availability Groups

- DTC support for Always On Availability Groups

- Cluster-less Availability Groups 

- Minimum Replica Commit Availability Groups

- New CLR strict security

- Graph database queries

- Running Python scripts in SQL Server

- BULK INSERT directly from CSV files
Speaker:

Accompanying Materials:

Session Type:
Extended Session (90 minutes)

Track:
Application & Database Development

Level: Intermedia

Session Code:

Date: August 19

Time: 2:20 PM - 3:50 PM

Room: A

Nothing is perfect, which means that your database may be not perfect as well. And one day you may decide that your database is slow and it's time to optimize it. But.. Where to start? When to end? What to look at? Which queries are slow? How to identify the real bottleneck? And so on, and so on. There are a lot of questions that should be answered in a process of performance tuning. 

In this session, we will find answers to all these questions going from collecting data for analysis, through identifying bottlenecks to optimization of the particular queries. On this way, we will learn performance tuning practical techniques and solve a bunch of issues in real-time. And despite I'm a big fan of Profiler and old-fashioned tools and technics, new, more interesting and useful instruments are available nowadays, so will use them to find the bottleneck and tune performance. Minimum of theory and a lot of practice.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Enterprise Database Administration & Deployment

Level: Advanced

Session Code:

Date: August 19

Time: 4:05 PM - 5:05 PM

Room: A

????? ?????????? ?????? ?????? ? ????-??????? ?????????????? ?????????? ??????????, ?? ?????? ?? ??????????? ??? ????????????? ??? ????? ????????????? ? ????????, ??? ???????? ?????? ????????????, ??? ???????? ?? ?????? ?????? ??????????? ?????????????. ?? ????????????? ?? ???????? ???????? ?? ???????? ????????, ?? ?? ???????? ? ??? ????? ????????? ?? ??????, ???? ???? ??? ???????? ??? ??? ????? ???????? ?? ?????????? ??? ?????????? ?????????? ??????????, ??????? ??????????? ?? ??????? ?????, ?? ???????? ? SQL Server 2016 ?? SQL Server vNext. ???????? ??????? ???? ?????????, ?? ?????????? ?????? ?? ??????? ????????? ??????????? ??? ????-???? ?????, ?? ?????????? ?? ?????????? ???????????.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Strategy and Architecture

Level: Beginner

Session Code:

Date: August 19

Time: 10:00 AM - 11:00 AM

Room: C

Do you fancy learning regression and classification in one hour? 
We will start with linear regression, simple but powerful machine learning algorithm. With it you will learn about correlation coefficient, loss function, optimization algorithms and regularization. At the end of this section we will built a ML model using Fast linear model with Stochastic Dual Coordinate Ascent (SDCA) optimization.
Next step is get to know artificial neural networks, their architecture, activation functions and backpropagation algorithm. This allows us to build a (better?) model using rxNeuralNet and N#.
Evaluation metrics for regression models will conclude first part of the session.
In the second part we will use almost the same ML algorithms for classification — the difference is that Logistic regression will replace Linear regression. Finally we will learn about Evaluation metrics for classification models, which allows us to pick the very best model for problems we are going to solve together.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Advanced Analysis Techniques

Level: Advanced

Session Code:

Date: August 19

Time: 11:10 AM - 12:10 PM

Room: A

This session will cover the approaches and instruments for non-relational data implementation in SQL Server and will include information on JSON, XML, CLR and Graph Data.
Speaker:

Session Type:
Extended Session (90 minutes)

Track:
Application & Database Development

Level: Intermedia

Session Code:

Date: August 19

Time: 2:20 PM - 3:50 PM

Room: B

Recently Microsoft has announced  SQL Server 2017 RC. What's new for BI? Do you know about SSIS  Scale-Out Feature?  Or about new DAX  Enhancements in SSAS? or about Power BI Report Server?
If you want to know about it come to my session and I'll tell you about it.
Speaker:

Accompanying Materials:

Session Type:
Regular Session (60 minutes)

Track:
BI Platform Architecture, Development & Administration

Level: Beginner

Session Code:

Date: August 19

Time: 11:10 AM - 12:10 PM

Room: C

Sessions Found: 17
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