SQLSaturday #763 - Sofia 2018
Event Date: 10/13/2018 00:00:00
Event Location:
- Sofia Tech Park
- Boulevard “Tsarigradsko shose” 111B
- Sofia, Sofiya, Bulgaria
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Sessions
This is a list of sessions from the event, based on the schedule in the XML files.
Title: Image classification with Microsoft Cognitive Toolkit
Abstract: Artificial intelligence is called electricity of the 21st century. 150 years ago the invention of electricity changed our whole world. Today, thanks to AI, we are facing a revolution on a similar scale. 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.
Speaker(s):
- Marcin Szeliga
Track and Room: Analytics and Visualization - Track 1
Title: CosmosDB for IoT Solutions
Abstract: 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: • 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
Speaker(s):
- Mihail Mateev
Track and Room: Cloud Application Development Deployment - Track 5
Title: Beyond image classification - object detection with multi-task deep models
Abstract: Object detection can be challenging to understand, mostly because there is a gap in the literature between image classification and object detection — the former is explained in deluge of easy to understand blog posts and articles, the latter is the subject of research papers, full of scary looking math. 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.
Speaker(s):
- Marcin Szeliga
Track and Room: Advanced Analysis Techniques - Track 2
Title: Designing your tabular/PowerBI model for performance and scalability
Abstract: You developed a PowerBI or an Analysis Services Tabular model and you run it on a server with plenty of cores and memory. But your queries does not scale or your users are not happy with the performance! So what can you do? You can fine tune the settings of your AS Tabular (usually does not bring a large benefit), you can scale up (which is costly) or you can apply the techniques I am going to show you in this session. Techniques, that range from optimizing the storage of your model, to how to effectively implement DAX patterns for maximum performance. And all of that, complemented with digging into engine execution plans, DMVs, tracing activity and tabular engine internals.
Speaker(s):
- Ivan Donev
Track and Room: BI Platform Architecture, Development Administration - Track 1
Title: The Maths behind Machine Learning
Abstract: The new world of Machine Learning can sound quite overwhelming! Do I need a PhD in Machine Learning to get involved? The answer, thankfully, is no. But what you do need, which is often neglected, is a solid understanding of the theory behind the models.
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.
Speaker(s):
- Matt Willis
Track and Room: Analytics and Visualization - Track 2
Title: Deadlocks. Everything you ever wanted to ask but were too shy.
Abstract: It’s not a secret that a deadlock - it’s not very good. Definition of deadlock is very simple and quite clear: This is an exceptional situation when two concurrent queries request same resources but in a different order.
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:
- Catch the deadlock
- Find the root cause
- Design and implement a solution. In practice, these steps can be tricky and may require different types of analysis.
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.
Speaker(s):
- Denis Reznik
Track and Room: Enterprise Database Administration Deployment - Track 1
Title: The Road to The Autonomous Databases
Abstract: Autonomous means capable of existing independently. Think maintenance free, self-healing, auto-tuning databases able to detect and automatically mitigate security risks. Sounds like impossible dream, but here is the best part - Azure is gradually making that next level of automation possible. Cloud economy of scale combined with unique features of Azure Sql PaaS resources transform and enhance the way we collect, store and process data. And that also affects our professional lives. Find out where we are on The Road to The Autonomous Databases, what are main building blocks, what kind of obstacles we still have to overcome and how to turn these challenges into opportunities.
Speaker(s):
- Janusz Rokicki
Track and Room: Strategy and Architecture - Track 2
Title: Data Preparation for Machine Learning
Abstract: If there is one crucial thing in building ML models, this would be the data preparation. That is the process of transforming raw data to a state where machine learning algorithms could be run to disclose insights and make predictions. Data preparation involves analysis, depends on the nature of the problem and the particular algorithms. As far as there are knowledge and experience involved, there is no such thing as automation, which makes the role of the data scientist the key to success. 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.
Speaker(s):
- Ivelin Andreev
Track and Room: Advanced Analysis Techniques - Track 2
Title: Step by step to weekly or daily releases. Automating database upgrades.
Abstract: I will present a perspective how you can migrate development process to releases fast and successfully. 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
Speaker(s):
- Todor Matev
Track and Room: Application Database Development - Track 5
Title: Query tuning when indexes cannot help
Abstract: Creating an index seems to be a silver bullet for optimizing a performance of a query. If this is true, then most of performance problems seems to go away, but they exist. And there are lots of cases when creating yet another index doesn’t help. When do indexes help and when do you need to just take a different approach - rewriting the query for removing bad patterns. In this session I will show you how to decide to create an index or not, and which query patterns don’t benefit from indexes. You will see some reason of the plan warnings, cardinality errors, and how to avoid them.
Speaker(s):
- Margarita Naumova
Track and Room: Application Database Development - Track 1
Title: IoT and streaming data or how cheating becomes a challenge
Abstract: How new technologies and streaming data can easily be handled with popular BI tools and what are the pros and cons of that.
Speaker(s):
- Emil Lechev
Track and Room: BI Platform Architecture, Development Administration - Track 4
Title: Introduction to Azure SQL Data Warehouse for DBAs
Abstract: You are a database administrator working predominantly on SQL Server on-premises databases and just recently started exploring the options available to you in Azure and most probably working already with Azure SQL. This is great but have you explored Azure SQL Data Warehouse offering? Do you know the main differences in this service when compared to Azure SQL and what you can achieve with it? If you do not have the answers of those questions, join me in an Introduction to Azure SQL Data Warehouse session where we will see what the service is made of, compare it with Azure SQL and explore the different methods of loading data.
Speaker(s):
- Miroslav Dimitrov
Track and Room: Cloud Application Development Deployment - Track 4
Title: Embrace the future: Running SQL Server in containers
Abstract: Well, the future is now. Join me in demo heavy session covering SQL server running in containers. Starting from scratch we will go through a complete container implementation.
Speaker(s):
- Kaloyan Kosev
Track and Room: Enterprise Database Administration Deployment - Track 2
Title: Mission: Reactive Cloud - Azure Event Grid
Abstract: What is IoT without communication? Modern software development without integration? What if we took a step further and turn messages into events?
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.
Speaker(s):
- Radoslav Gatev
Track and Room: Cloud Application Development Deployment - Track 5
Title: Tenant Data Isolation with Azure SQL DB
Abstract: We will share our experience in migrating a solution to a multi-tenant application, where per tenant data isolation is required. The focus would be on automating Azure SQL database provisioning for each customer.
Speaker(s):
- Valentin Bonev
Track and Room: Strategy and Architecture - Track 4
Title: Azure Data Factory v2
Abstract: Azure Data FDactory is part of Azure. Using this service you can connect to diffrent data sources, transoform data and load to data destination. During this session I will also show how to use new features of ADFv2. How to lift and shift SSIS packages into cloud, how to use triggers to start a pipeline and how to use Data Transformation and Control Flow Activities.
Speaker(s):
- Tomasz Libera
Track and Room: Cloud Application Development Deployment - Track 2
Title: Power BI Tips and Tricks
Abstract: In this session we will see a couple of tips and tricks like how to use a quick measure to create a Rating on a table, how to add a custom look to Power BI, Apply Sorting, Formatting, Drilldown in an Array and etc.
Speaker(s):
- Boriana Petrova
Track and Room: Analytics and Visualization - Track 3
Title: Finding The Droids Fast - Indexing For Padawan
Abstract: You don’t need to look in an entire planet to find two droids! You just need to find the right kubaz informant. 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.
Speaker(s):
- André Melancia
Track and Room: Enterprise Database Administration Deployment - Track 1
Title: The power of Microsoft AI Platform combined with Big Data
Abstract: The data are the fuel for the rocket and the AI is the engine. During this session we will get know the crucial Cognitive Services from Microsoft based on DEMOS.
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.
Speaker(s):
- Marek Matuszewski
Track and Room: Cloud Application Development Deployment - Track 5
Title: From relational to Multimodel : Azure Cosmos DB
Abstract: Azure Cosmos DB is Microsoft’s globally distributed, multi-model database. This is NoSQL in the cloud. In this session, you’ll see how to use it to create columnar tables, JSON documents and graphs, you’ll understand what that means, see what’s the difference with relational tables, and how it can be useful for you.
Speaker(s):
- Rudi Bruchez
Track and Room: Cloud Application Development Deployment - Track 3
Title: If a machine can learn, why can’t YOU learn Azure Machine Learning?
Abstract: Are you a DBA or Developer and would like to get started with AzureML the EASY WAY? 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.
Speaker(s):
- André Melancia
Track and Room: Advanced Analysis Techniques - Track 3
Title: Chatbots for Dummies
Abstract: The software development landscape is changing. More and more, there is an increased demand for AI and cloud solutions. As a user buying cinema tickets online, I would like to simply ask “I want to buy two cinema tickets for the movie Dunkirk, tomorrow’s viewing at 1pm” instead of manually following a pre-defined process. 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).
Speaker(s):
- Jose Mendes
Track and Room: Cloud Application Development Deployment - Track 5
Title: Achieving wonders with Query store
Abstract: Query Store, a new feature released with SQL Server 2016, can allow you to achieve wonders on the SQL Server query tunning universe: starting from ensuring that an upgrade will work and up to know exactly when a change on the database created a tunning problem, you will discover in this session how to make incredible tunning magics with query store.
Speaker(s):
- Dennes Torres
Track and Room: Enterprise Database Administration Deployment - Track 4
Title: 3 Kings in Power BI: ArcGIS Maps, SandDance and Synoptic Panel
Abstract: The session covers an overview about the best practices and features of 3 amazing Visuals in Power BI.
- ArcGIS Maps - bring your data on a powerful Map with additional custom layers.
- SandDance - play with your data as never before. Create new dimensions on the fly and play your insights as an animation.
- Synoptic Panel - prepare any image to act as a filter. Got a plane image and want to bind each seat individually to your Dataset? Go ahead and try Synoptic Panel.
The whole session is a pure LIVE DEMO
Speaker(s):
- Marek Matuszewski
Track and Room: Analytics and Visualization - Track 2
Title: Power Query for Better Reporting - 7 scenarios to learn
Abstract: The session will focus on 7 data manipulation scenarios, highly likely to occur when working with multiple sources in Power Query - whether in Power BI or Excel. The session will show workarounds and solutions that require some previous knowledge of PowerBI and will use the free desktop version of Power BI.
Speaker(s):
- Vitali Burla
Track and Room: Analytics and Visualization - Track 5
Title: SQL Server partitioning - Why, What and How
Abstract: Partitioning is process which divides very large tables into multiple smaller physical parts. The main of goal of partitioning is to aid in maintenance of large tables and to reduce the overall response time to read and load data. But it doesn’t mean whenever you see a big table you need to partition it. There is more than to take into account and even more to consider when you implement partitioning. Come to this session to get familiar with partition internals and to understand when and how to implement it.
Speaker(s):
- Rozalina Zaharieva
Track and Room: Enterprise Database Administration Deployment - Track 3
Title: How to start working in the multiserver environment?
Abstract: 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(s):
- Michal Sadowski
Track and Room: Enterprise Database Administration Deployment - Track 3
Title: Processing Real-Time Racing Telemetry with Azure Stream Analytics
Abstract: Stream Analytics is the solution from Microsoft for event based data processing on Azure. The objective of this session is to show the value of real-time data insights with a fictional Car Racing Simulator, detailing the steps from the events source, until the analysis of the race telemetry.
Speaker(s):
- Murilo Miranda
Track and Room: Analytics and Visualization - Track 3
Title: “SQL-like” or query languages in Azure IoT
Abstract: If you are reading Azure IoT documentation you will stumble a lot on the “SQL-like query language” or “SQL-like language” syntagms. 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.
Speaker(s):
- Catalin Gheorghiu
Track and Room: Application Database Development - Track 4
Title: The hidden power of Power BI – now with Power BI Embedded
Abstract: Power BI is a very powerful tool. But behind the shiny UI, Power BI REST API gives you even more features to create better solutions! In this session we will explore what you can do using Power BI REST API and what you can’t (at least not yet!). I will demonstrate how your program can authenticate itself (both in interactive and non-interactive way), how it can add new rows to a dataset or refresh it programmatically, how to share one dataset between multiple reports and how you can embed Power BI dashboards, reports, and tiles directly into your application.
Speaker(s):
- Andrey Nikolov
Track and Room: Application Database Development - Track 1
Title: Big Data Analytics Reference Architectures
Abstract: Big Data is a hot topic nowadays. But, how to design robust and scalable architecture according to business needs? Could we use Traditional Analytics (BI) approach here? Let’s dive together and learn how to use Attribute-Driven Design approach in order to identify key architecture drivers and map it with reference architectures. We also will look at technologies as building blocks for those architectures and some practical use cases for better understanding how it works.
Speaker(s):
- Sergiy Lunyakin
Track and Room: Strategy and Architecture - Track 4
Speakers
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
Tomasz Libera
Twitter: - https://twitter.com/tomasz_libera
LinkedIn: Tomasz Libera
MVP Data Platform, MCT, leader of Krakow Data Community Poland user group. Organizer of SQLDay and SQLSaturday conferences. SQL Server Developer and academic trainer. Speaker at group meetings and conferences.
Margarita Naumova
LinkedIn: Margarita Naumova
Contact: www.maginaumova.com; http://blogs.technet.com/b/magi/
Magi Naumova is SQL Server Architect and Consultant, speaker and trainer, Microsoft Certified Master, MVP Data Platform, MCT, Founder of SQL Master Academy, founder and leader of the Bulgarian SQL User group. She has more than 15 years SQL Server training and consulting experience. Magi is a former member of Microsoft Services Worldwide Technical Leadership Team, а Microsoft Women worth watching http://zd.net/1lwNYKH Currently she speaks, writes, trains and consults people on SQL Server technology. She runs a Data Platform consulting company part of which is SQL Master Academy training program. It helps hundreds of specialists to feel knowledgeable in their daily work or to find an inspirational career path in the world of SQL Server.
Marcin Szeliga
LinkedIn: Marcin Szeliga
Data Philosopher. Since 2006 invariably awarded Microsoft Most Valuable Professional title in the Data Platform category. A speaker at numerous conferences across Europe, as well as at user groups meetings. The author of many books and articles devoted to Microsoft Data Platform. An independent consultant, database-centric application practitioner and architect totally focused on SQL Server and Azure. Huge fan of Data Science and Machine Learning.
Valentin Bonev
Solution Architect at BULPROS.
Radoslav Gatev
Twitter: - https://twitter.com/RadoslavGatev
LinkedIn: Radoslav Gatev
Contact: https://www.gatevnotes.com/
Radoslav Gatev is a software architect and consultant who spends most of his time in the cloud, to be more precise, in Microsoft Azure. He is a conference speaker, blogger, open source contributor and advisor at Azure Research Panel.
Kaloyan Kosev
Twitter: - https://twitter.com/nosqltillcoffee
LinkedIn: Kaloyan Kosev
Kaloyan Kosev is a SQL Server expert working with enterprise companies for the last 9 years. His daily work routine is a mixture of troubleshooting bugs and issues, consulting and advising clients and presenting to students. Within his free time he is trying to balance between SQL and x-sports.
Dennes Torres
Twitter: - Dennes
LinkedIn: Dennes Torres
Contact: https://www.red-gate.com/simple-talk/author/dennes-torres/
Dennes Torres is a Data Platform MVP with more than 25 years of experience in the IT area. He improves Data Platform Architectures and turns data into knowledge. As a Brazilian living in Malta, Dennes works as a software developer and leads the Malta MDP User Group. Having the MCSE Data Platform, Business Intelligence, and Microsoft Certified Trainer (MCT) certifications, Dennes has been in love with database servers since he was introduced to SQL Server 6.5, more years ago than he would like to admit.
Denis Reznik
Twitter: - https://twitter.com/DenisReznik
LinkedIn: Denis Reznik
Contact: http://reznik.uneta.com.ua
Denis Reznik is a Data Architect at Intapp, Inc. He has more than ten years experience in software development, database design, and performance tuning for cloud and on-premises solutions. In 2010 Denis became Microsoft Data Platform MVP and maintains MVP status today. Apart from his professional career, Denis actively participates in the development of the Ukrainian Data Community.
Mihail Mateev
Twitter: - mihailmateev
LinkedIn: Mihail Mateev
Contact: https://mmateev.wordpress.com/
Mihail Mateev is a technical consultant, community enthusiast, PASS Regional Mentor for CEE, chapter lead, Microsoft Azure MVP, Microsoft Regional Director. He works as a Senior Solutions Architect at EPAM Systems, focused on Data Platform, IoT and cloud related solutions. He also worked many years like a Technical evangelist in the Infragistics. Last years Mihail was focused on various areas related to technology Microsoft: Data Platform, Visual Studio, ASP.Net, Windows client apps, Data Platform, and Microsoft Azure. Michael also has a PhD in cloud computing area. He is a university lecturer on Smart Homes and Smart Energy IoT Solutions.
Marcin Szeliga
LinkedIn: Marcin Szeliga
Data Philosopher. Since 2006 invariably awarded Microsoft Most Valuable Professional title in the Data Platform category. A speaker at numerous conferences across Europe, as well as at user groups meetings. The author of many books and articles devoted to Microsoft Data Platform. An independent consultant, database-centric application practitioner and architect totally focused on SQL Server and Azure. Huge fan of Data Science and Machine Learning.
Marek Matuszewski
Twitter: - https://twitter.com/sqlmarek
LinkedIn: Marek Matuszewski
Contact: https://www.limcore.com
Microsoft MVP, Data Platform.
Marek Matuszewski has 8+ years Software Development Experience and deals with Microsoft Power BI since it was released. Marek as an eternal fan of Microsoft Stack leads the AI Team at Cluster Reply.
Marek is a passionate also about Data Science and as a Microsoft Data Platform MVP loves sharing the knowledge with the world in multiple formats: YouTube videos, podcast sessions, Blog posts, webinars and speeches on conferences.
His life motto is: „Know something about everything, but everything about something “.
Miroslav Dimitrov
Twitter: - @miro_dd
LinkedIn: Miroslav Dimitrov
Contact: http://www.sqlshack.com/author/miroslav-dimitrov/
Miroslav Dimitrov is a Senior Big Data and Analytics Engineer at DXC Technology, regular speaker at various events and Microsoft Certified Trainer. He is MCSE: Data Platform for SQL Server and MCITP on SQL 2008. In the last years he had worked on great variety of customers’ environments and involved in complex transitions and transformation projects as well as developing private and public cloud solutions. Miroslav is also leading database courses at Sofia University.
Ivelin Andreev
LinkedIn: Ivelin Andreev
Contact: https://www.slideshare.net/ivoandreev
Ivelin is a Microsoft Azure MVP and software architect in one of the leading and highly innovative Bulgarian IT brands - Interconsult Bulgaria Ltd. He is an external ICT expert in the European Commission, Eurostars-Eureka programme and Innovation Fund Denmark, Microsoft professional developer, senior project manager and Data Platform specialist. With 17+ years of strong experience in design and development of web systems, SOA, enterprise integration, machine learning, web security and data management, he is a practical man who always tries to balance between risk and flexibility. Never scared of work he has turned the weighing of pros and cons into own marked style that urges to make conscious decisions.
André Melancia
Twitter: - AndyPT
LinkedIn: André Melancia
Contact: http://Andy.PT
Owner / Principal Consultant at LunarCat.PT Microsoft Certified Trainer (MCT) focusing on SQL Server, Azure, IoT and Security.
19+ years’ fun developing information and multimedia systems, DBA, project and IT management.
Data Community Portugal, IT Pro Portugal and PowerShell Portugal communities organiser. IPv6 Portugal, DNSSec Portugal and Windows Development Portugal online communities moderator. Actively volunteering, organising, speaking or just participating at community meetings and events around the world.
Proud uncle and food devouring expert, with dangerous рuϧϧy cat as companion.
Go to http://Andy.PT and you’ll know the same as the NSA…
Marek Matuszewski
Twitter: - https://twitter.com/sqlmarek
LinkedIn: Marek Matuszewski
Contact: https://www.limcore.com
Microsoft MVP, Data Platform.
Marek Matuszewski has 8+ years Software Development Experience and deals with Microsoft Power BI since it was released. Marek as an eternal fan of Microsoft Stack leads the AI Team at Cluster Reply.
Marek is a passionate also about Data Science and as a Microsoft Data Platform MVP loves sharing the knowledge with the world in multiple formats: YouTube videos, podcast sessions, Blog posts, webinars and speeches on conferences.
His life motto is: „Know something about everything, but everything about something “.
Emil Lechev
Technical Consultant in the IT industry in the area of Business Intelligence and Datawarehousing mainly for companies in the telecommunications sector. Responsible for delivering projects in all phases of the engagement life cycle: From Business case development to BI solution implementation.
Rudi Bruchez
Twitter: - nepasderanger
LinkedIn: Rudi Bruchez
Contact: http://www.babaluga.com/
(same as before)
André Melancia
Twitter: - AndyPT
LinkedIn: André Melancia
Contact: http://Andy.PT
Owner / Principal Consultant at LunarCat.PT Microsoft Certified Trainer (MCT) focusing on SQL Server, Azure, IoT and Security.
19+ years’ fun developing information and multimedia systems, DBA, project and IT management.
Data Community Portugal, IT Pro Portugal and PowerShell Portugal communities organiser. IPv6 Portugal, DNSSec Portugal and Windows Development Portugal online communities moderator. Actively volunteering, organising, speaking or just participating at community meetings and events around the world.
Proud uncle and food devouring expert, with dangerous рuϧϧy cat as companion.
Go to http://Andy.PT and you’ll know the same as the NSA…
Jose Mendes
Twitter: - ZeMiguelMendes
LinkedIn: Jose Mendes
Contact: http://blogs.adatis.co.uk/josemendes/
A Principal Data Analytics Consultant working for Adatis Consulting with experience in delivering Microsoft Azure/ SQL Data Analytics solutions. Presented for the first time in 2017 and since then has been blogging and speaking about the Bot Framework, Power BI, Data Lakes, Databricks and other cool Azure services. Co-organizer of the Surrey Data Platform Group.
Sergiy Lunyakin
Twitter: - slunyakin
LinkedIn: Sergiy Lunyakin
Contact: https://slunyakin.wordpress.com
Sergiy Lunyakin (MCSA, MCSE, MCTS) is a Big Data Architect at SoftServe, Inc. He has extensive experience in designing and developing Big Data Analytics, Data Warehouse, and BI solutions, using both on-premises and cloud products. In 2016, Sergiy became Microsoft Data Platform MVP and has since maintained his MVP status. Sharing knowledge is another one of his passions. He regularly speaks at international conferences such as SQLSaturday, SQLDay, SQLNexus, and SQLBits. He also runs the Lviv SQL Server User Group in Ukraine and organizes SQLSaturday Lviv.
Rozalina Zaharieva
Twitter: - RozenceZ
LinkedIn: Rozalina Zaharieva
SQL expert in Microsoft’s Data Platform Solution. Enthusiast with more than 10 years of experience in support, implementation, design and architecture of small and large projects for SQL Core – Consolidations and Migrations. Passionate speaker in SQL Master Academy and events like SQLSaturday and community events. Experience in Financial Sector Data platform Operations.
Matt Willis
LinkedIn: Matt Willis
Matt Willis is the Head of People at Adatis as well as a Senior Data Analytics Consultant. Matt has 9 years of experience in data analytics and Machine Learning and 6 years delivering data analytics solutions using the Microsoft BI stack in both on-prem and cloud based solutions.
Matt is a prolific speaker, presenting all over Europe including SQLBits. Matt is also lecturing at universities and has provided insight and industry experience in addition to helping to run a module.
Matt is passionate about machine learning and data, and has a love of communicating ideas. In his spare time he enjoys listening to music, attempting to keep fit and exploring the world.
Andrey Nikolov
Andrey is MCSA for SQL Server 2012/2014 with almost 20 years of experience in designing and implementing applications for Windows. He is working with various database platforms, but SQL Server is his favorite. He is also a leader of Plovdiv Power BI User Group and active member of local .NET, Power BI and SQL Server communities.
Ivan Donev
Twitter: - https://twitter.com/ikdonev
LinkedIn: Ivan Donev
I am a Data platform MVP with more than 10 years of real-life experience with SQL Server and its stack of services. Besides the support and project work, I am also a trainer, conference speaker and user group organizer (and volunteer).
Boriana Petrova
Twitter: - borianapetrova
LinkedIn: Boriana Petrova
Contact: http://itraining.bg/category/itraining-blog/
Microsoft Certified Trainer with over 10 years experience as an IT instructor and Consultant. She has many qualifications and professional certifications, including: Excel MVP, MCT, MCITP, MCTS, MOS Master. In 2008 she is among the TOP 25 of the best instructors in Microsoft World Company business evaluation and measurement - Knowledge Advisors.
Catalin Gheorghiu
Twitter: - MrSmersh
LinkedIn: Catalin Gheorghiu
Contact: http://ronua.ro/author/catalin/
Catalin Gheorghiu is a solution architect from Romania. He has more than 15 years of experience in developing solutions, especially on Microsoft technologies in very demanding environments. Is contributing articles and blogs to several user groups (MrSmersh), lecturing all over Romania and abroad, is also RONUA Timisoara (PASS Chapter) user group leader. Since 2011, every year he was awarded the Microsoft MVP Award.
Murilo Miranda
Twitter: - murilocmiranda
LinkedIn: Murilo Miranda
Murilo Miranda is a blogger, speaker and SQL Server MVP from Portugal. Nowadays he#39;s a Cloud Operations Engineer at DataStax. Murilo’s passion for working with people coupled with his honesty have helped him establish effective, meaningful relationships with his clients. When he isn’t working, he can be found enjoying life with his family, watching football and playing Playstation.
Michal Sadowski
Twitter: - SadowskiMichal
LinkedIn: Michal Sadowski
Contact: https://sqlplayer.net/michal-sadowski
Senior Database Platform Engineer, leader of Krakow chapter of Data Community Krakow (former Polish SQL Server User Group) - PASS Chapter. With more than 10 years of experience in Microsoft technology, helps in advisory for performance optimization on database and application levels. Active speaker on SQL Server related events like SQLSaturday, SQLDay, MCT Global Summit etc. Holds many Microsoft certificates including MCSE: Data Platform, MCSA: SQL Server 2012/2014/2016, MCSA: Windows Server 2008/2012/2016 and MCT.
Janusz Rokicki
Twitter: - DataSic
LinkedIn: Janusz Rokicki
Contact: https://www.datasic.com/
Microsoft Data Platform Expert and certified Azure Solutions Architect with over 12 years’ experience working in the City of London in the Financial Services Industry (retail and investment banking, multi-asset class trading systems). He has passion for secure, high-performance, maintainable data-driven applications that can be deployed with confidence on-premises and in-cloud. With educational background in intelligent sensor networks and machine learning he is always in search of automation and optimisation opportunities.
Has presented at SqlBits, PASS Summit, SqlDay and multiple SQLSaturday events (Tel-Aviv, Kiev, Paris, Tallinn, Bonn, Bratislava, Goteborg, Kharkiv, Bucharest, Sofia, Ljubljana) and user groups.
Vitali Burla
Twitter: - Vitali_Burla
LinkedIn: Vitali Burla
A Power BI aficionado, an Excel enthusiast, a voracious reader.
Todor Matev
LinkedIn: Todor Matev
I have more than 10 years experience in Microsoft .NET and MSSQL technologies. I work as regular and senior developer, team leader and project manager of big projects and several small projects in small and big dev team. The projects are related to trading workflow in FinTech industry, clinical researches and IoT. I have got several certificates: MCITP, MCPD, MCTS. I graduated bachelor and master degree from University of Plovdiv “Paisii Hilendarski” with major Software Technologies. My hobbies are: fishing, skiing, walking in the mountain and developing.
Sponsors
The following is a list of sponsors that helped fund the event: