Call for Speakers
Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 1,661 days ago
dataMinds Connect 2019
event starts
7 Oct 2019
event ends
8 Oct 2019
location
Lamot Conference and Heritage Center, Van Beethovenstraat 8-10, 2800 Mechelen Mechelen, Belgium
website
datamindsconnect.be
dataMinds Connect is the new and improved version of the (former SQLUG.be) SQL Server Days. New and improved, keeping in mind the same core values. 2 days filled with learning, networking and a whole lot of laughs while doing so!
This year will be the 12th edition of the conference, and running for the third time as dataMinds Connect. Aiming to bring together all people with a passion for the Microsoft Data Platform, in all flavours possible, we're hoping to receive even more people than last year!
Go ahead and clearly mark Monday October 7th and Tuesday 8th in your schedule, as these will be 2 days you don't want to miss!
finished 1,783 days ago
Call for Speakers
Call opens at 12:00 AM
13 Feb 2019
Call closes at 11:59 PM
07 Jun 2019
Call closes in Romance Daylight Time (UTC+02:00) timezone.
Closing time in your timezone () is .
Open for all sessions related to the Microsoft Data Platform, in all possible flavours. Going from your traditional DBA and BI topics, to more advanced AI topics.
All conference sessions will be 60 minutes, and allocated to a track.
Proposals for workshops are also accepted, but bear in mind that we're searching for these on our own as well. It may be possible that certain precons are already chosen.
We wholeheartedly encourage all new speakers to submit a proposal to our Newcomer Track.
To be clear, new speakers are considered to be people who have not yet spoken at a (technical) conference.
User Group sessions, webinars and client/team presentations are not taken into account. Each new speaker will be paired up with a buddy/mentor, who will provide them with highly valuable tips & tricks. Even more so, we'll provide new speakers with all assistance they need and want whilst preparing for their debut.
all submitted sessions
publicly listed on this page
event fee
free for speakers
219 submissions
Submitted sessions
Ali Doku
- Crash Course on building and accelerating Deep Learning Solutions
- Paginated Reports in Power BI
- Power BI Performance in 6 demos
- Power BI - From Beginning to End
- Enable Hybrid Data access with the On-premises Data Gateway
- AI in Production
- Docker & Kubernetes for the Data Scientist
- An introduction to Deep Learning in Azure
- Exploring Graph structures with the CosmosDB Gremlin API
- Using AI to write conference session submissions
- Production Python Machine Learning in SQL Server
- Amplifying human ingenuity with intelligent technology
- Infrastructure as Code on Azure: ARM & Terraform
- dbatools' recipes for Data Professionals
- dbatools and Power BI walked into a bar
- Azure Data Studio, does it have what it takes?
- Azure and the SQL Databases
- Best Practices for better adoption of Power BI
- Testing your Power BI datamodels
- Automate your Power BI Deployment
- Dataflows for Power BI
- Microsoft Graph data in your BI environment
- Help, I need to migrate my On Premise Database to Azure, which Database Tier do I have to choose fro
- Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together!
- Using Azure Data Factory to migrate your current SQL Server to an Azure SQL DataWarehouse
- Building your CI/CD pipelines in Azure Dev Ops for a BI Solution with SSIS and SSAS
- Azure Data Factory V2, lift and shift your SSIS Packages to the Cloud
- Introduction to Azure Cosmos DB (demo-based)
Dave Ruijter
- The Battle Of Modern Data Architectures: Data Factory vs Databricks
- Actionable insights using Power BI, PowerApps & Flow
- The missing piece in your Power BI architectures: dataflows!
- Let's go Premium! The essentials to kickstart your experience.
- Artificial Intelligence for the business analyst, leveraging new AI features in Power BI
- Analyze images in real-time with machine learning, Azure IoT Hub and Azure Stream Analytics
- Managing BI projects with Azure DevOps
- How can we use Azure Data Factory and Azure Databricks to train our ML models
- Azure Data Factory - Explained in Depth
- End-to-End Machine Learning - from experimentation to production
- Machine Learning Services: R & Python in SQL Server for Data Science
- Applied Data Science with Azure Machine Learning Studio
- Failure prediction for manufacturing industry with SQL Server & R
- Sharing methods in Power BI: how to fulfill your audience
- Power BI Governance & Users Management
- Your database's journey to the cloud
- Expand your CI/CD pipeline
- The hitchhikers/data consultants guide to the Business Application Platform universe.
- Optimizing use of the finite amount of space on a Power BI report canvas
- The good, the bad and the unexpected - a BOT story
- Moving Data around in Azure
- Practical Data Visualization Best Practices
- Migrating SSIS to the Cloud
- The modern Cloud Data Warehouse - Snowflake on Azure
- Introduction to Microsoft SEAL - Homomorphic encryption technology
- Advanced Text Analytics with Cognitive Services and custom ML
- Azure Search
- Implementing Supertypes and Subtypes in SQL Server
- Fun with Legal Information in SQL Server: Correlating Offers and Counter-offers
- Fun with Legal Information in SQL Server: Determining the Law to Be Used
- Enterprise and Self-service in Power BI - better together
- The Hitchhiker's Guide to navigating Power BI
- XMLA endpoints, Power BI open-platform connectivity
- Paginated Reports for the Power BI developer. Love is in the air!
- Customer story: End-to-end Microsoft BI solution in Azure
- No matter which flavor of SQL you have, Power BI loves them all!
- Automating end-to-end testing and monitoring using the IESI framework
- Data scientists have left ... How will I deploy their work?
- Azure databricks: brick by brick for the data engineer
- How can the AI help to evaluate the service quality using the SQLKellner as an example?
- Azure Cognitive Services - AI for everyone?
- BI in Azure one year live
- An hour in the life of Power BI Reports
- Troubleshooting Power BI Report Performance
- Power BI Dataflows? Why you need to implement it!
- Testing Data Warehouse and BI solutions
- Database projects in VS2017-The Road to BI Devops
- SQLServer under pressure: Can I fix it?
- PowerBI vs Tableau: the battle
- Never trust the Data!
- 3 Keys to Successful Consulting
- Big Data Clusters for the Absolute Beginner
- Why is the Same Query Sometimes Slow?
- Your First Official Indexing Class
- Watch Brent Tune Queries
- Run Query Run - SQL Wait Stats Version Next
- Kick Start! SQL Server 2017 / 2019 Performance Tips and Tricks
- SQL Server Performance Tuning Without Touching Code
- Redundant Devs & DBAs - Adaptive Query Processing and Automatic Tuning
- Indexes - The Unsung Heroes of SQL Server
- Performance in 60 Seconds – SQL Tricks Everybody MUST Know
- Practical Real-World Performance Tuning for Developers and DBA
- Using VNETs in PaaS solutions
- Azure DevOps for BI & Data Platforms
- Open Source Data Solutions on Azure
- Git / Azure Repos for BI & Data Platform development
- Crazy Data Science
- Using the Power platform to radically change your business
- Standards in Machine Learning Models
- dbachecks - The PowerShell Module to validate your SQL Estate
- SQL Notebooks in Azure Data Studio for the DBA
- First steps with SQL Server on docker
- Azure SQL Database - Lessons learned from the trenches
- How to get the most from Azure SQL Database
- Attention Contention!!!
- Introducing Azure Cosmos DB for the relational DBA
- Keeping your data even *more* secure with SQL Server 2019
- Machine Learning on auto-pilot: Automated Machine Learning
- Azure Machine Learning Service
- Azure Data Factory, your data pipeline in the cloud
- Four questions machine learning in Azure can answer
- SQL Server surprises
- Advanced stream analytics
- Azure Data Warehouse: Why, What and How
- Supercharge your Reporting Services: An essential toolkit
- 3 ways to bring Power BI under Source Control
- DevOps for the DBA
- Start To See With tSQLt
- Mask That Data!
- simplifying managed instance migrations using dbatools
- 15 can't miss commands in dbatools 1.0
- Building Dynamic Data Pipelines in Azure Data Factory
- Creating Visual Data Transformations in Azure Data Factory
- Biml Tips and Tricks: Not just for SSIS packages!
- Azure Data Factory Deep Dive
- Pipelines and Transformations: Introduction to Azure Data Factory
- Test Driven Development in SQL Server – how to deploy code safer
- DevOps and the Data Professional
- How to deploy SQL Server containers on Kubernetes in Azure
- Using AKS and Azure DevOps to bring DevOps to your Database
- Azure SQL Database 2.0 - the new stuff!
- Let’s build SSIS packages with Biml – live!
- The Big SQL Server 2019 Big Data Cluster Show
- How to be polite with databases when going serverless
- The Art of Monitoring and Debugging Azure Functions
- Mobile DevOps & Remote Teams
- Building mostly serverless distributed cloud systems step by step [WORKSHOP]
- Serverless Beyond Tutorials
- Provisioning and deploying to serverless
- DevOps for Artificial Intelligence, the road to production.
- Getting started with Azure Machine Learning services
- Automate your Data Warehouse Development
- Answering the real question: BI and Data Science happy together
- Build great machine learning solutions in a DevOps environment with Azure Machine Learning Service
- Deep Learning for absolute beginners
- Get started with reinforcement learning to personalize your applications
- Lesser known sql server functionalities, hidden gems or false hope?
- Using Artificial Intelligence to drive Supply Chain Planning
- Running SQL Server on Linux
- Latches, Spinlocks, and Lock Free Data Structures
- Myths and Misconceptions about Locking & Blocking
- Design, Deploy, and Optimize SQL Server on VMware vSphere
- Running SQL Server 2019 Availability Groups in Azure Kubernetes Services
- Debugging Common DAX and Model Performance Issues
- Query Folding in Power BI
- Power BI (Premium) Implementation at a Financial Institute
- Deleted
- Deleted
- Deleted
- deleted
- Deleted
- SQL Server 2019 with a touch of Linux
- Database Adventure
- Python Pipeline Primer: Data Engineering with Azure DataBricks
- Advanced Data Factory: Let the Data Flow!
- Data Engineering at Scale: An Azure SQL Data Warehouse Performance Guide
- Easing the pain of database migrations, a closer look at the new cloud citizen - DMS
- Checking in with Power Apps, Flow and Power BI
- Enterprise Power BI – Development Lifecycle
- Monitoring Power BI
- Who, What, When. Monitoring usage of your MS BI stack
- Debugging your premium capacity
- Microsoft Power BI Premium: Building enterprise-grade models
- Power BI Report design Tips and Tricks
- Introduction to PowerApps and Integration with Power BI
- Storytelling & interactive reports with Power BI Bookmarks & Drillthrough
- Power BI for the Enterprise, what should you think about?
- AI Capabilities for Power BI to make AI Accessible for Everyone
- Use parameters to add extra flexibility to your Power BI content
- End-to-end monitoring for a successful Power BI implementation
- Enterprise and multi-tier Power BI deployments with Azure DevOps.
- Keeping your SQL Code safe – An introduction to GIT and SSDT for DB professionals
- Lets go deep in SQL Server Unit Testing with Visual Studio
- Commonalities and differences between BI and Datascience pipelines
- Shape Maps in Power BI
- Deploy and manage your SQL Server instances with PowerShell!
- From on-prem to Azure SQL Database Managed Instance in 60 minutes!
- Save money and maximize performance of your SQL Server VM on Azure IaaS!
- Beyond IoT Real-time Data Ingestion with Azure Stream Analytics
- Complex Azure Orchestration with Dynamic Data Factory Pipelines
- Data Factory – An Introduction to Azure Control Flows & Data Flows
- ETL in Azure made easy with Data Factory Data Flow
- Azure Data Factory - Zero to Hero
- SQL Server docker containers from the development to the production
- Kimball versus Entity framework
- Benchmarking in the cloud
- Let's generate all the ADF Data Flows we need (ETL 2.0)
- Generate ADF Copy Data activities to export all types of sources to CSV-files
- Embrance Azure DevOps and deploy almost anything
- Power BI deployment strategy in large companies
- Hidden Gems of SQL Server from 2008 to 2019
- Why Should I Care About SQL if I Have ORM?
- Why my query is slow and how to fix this
- Learn how to build a real-time analytics solution
- How to Get Started with Azure SQL Managed Instance
- Hej databases, come on and get into the cloud
- Hybrid IT for the win!
- Identity Mapping and De-Duplicating
- Data Science: Associations between Two Variables
- Embrace R
- Data Science with Python or R?
- Comparing Predictive Mining Models from R, Python, SSAS, and Azure ML
- Power BI Cheat Sheet explained!
- Azure Databricks: Engineering Vs Data Science
- Bringing AI to the edge: On-premise Azure Cognitive Services using Docker containers
- ABC's of the Power BI REST API
- The Force Awakens - Azure SQL Server for the on-prem DBA
- Boring is stable, stable is good – best practices in practice
- DAX for the SQL developer
- Azure machine learning for the absolute beginner
- Arguing with myself - self-service BI from an infrastructure perspective