Call for Speakers
in 5 months
SQLDay 2026
event starts
11 May 2026
event ends
13 May 2026
location
Centennial Hall Wrocław, Poland
website
sqlday.pl
SQLDay is the largest conference focused on data solutions – databases, Big Data, Business Intelligence and advanced data analysis.
The conference has been organized since 2009 by enthusiasts and professionals from all over the country operating within the Polish SQL Server User Group (PLSSUG).
Currently, the official organizer of the conference is Data Community Poland, under which the merits and successful conference supervised by experienced organizers of previous editions of the event.
open, 16 days left
Call for Speakers
Call opens at 5:00 PM
15 Oct 2025
Call closes at 11:59 PM
31 Dec 2025
Call closes in Central European Standard Time (UTC+01:00) timezone.
Closing time in your timezone () is .
Submission deadlines:
- Pre-con workshops - until 30.11.2025
- Breakthrough sessions - until 31.12.2025.
Submission tracks:
- SQL in Action: Performance & Craft
Practical sessions on SQL language, query optimization, and data modeling. - Next-Gen Data Engineering & Modern BI
Scalable solutions and modern tools for data engineering, reporting and analytics. - AI-Powered Analytics
Machine learning, generative AI, and practical applications of artificial intelligence in analytics. - Data Architecture & Governance
Building modern data platforms, governance, and data management in the cloud. - Timeless Foundations
Enduring best practices, performance, and security - regardless of technological trends.
Limitations and preferences:
Sessions:
- up to 2 speakers
Pre-con hands-on lab:
- up to 3 speakers
- onsite attendees only
Pre-con seminar (lecture + demos):
- up to 3 speakers
- online and onsite attendees
all submitted sessions
publicly listed on this page
accommodation
expenses covered
event fee
free for speakers
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304 submissions
Submitted sessions
Injae Park
- A Generated Report - How AI can make Power BI Visuals
- Learn Power BI SVGs from 0–100 in a World of AI
- Using User Defined Functions for Visuals in Power BI
- Your first SQL Database implementation in Microsoft Fabric
- Automating Fabric with the PowerShell Module FabricTools
- LLMs, Home Assignements, and the Future of Analysis: A Field Test and conclusions
- DAX User-Defined Functions - wprowadzenie i przegląd zastosowań
- 3000 punktów, zero chaosu – geograficzny case study w Power BI
- Semantic Link – potężna siła w ekosystemie Microsoft Fabric
- Power BI Modeling MCP Server – Automatyzacja i AI w modelowaniu danych w pigułce
- Power BI Modeling MCP Server – Automatyzacja i AI w modelowaniu danych
- Deadlocks. Understanding and Troubleshooting
- SQL Server Query Lifecycle
- Vibe-coding for the data professional
- Mastering Row-level Security
- Ingesting API data with Python Notebooks
- Organizing Your Data Lake
- Project Management for the data professional
- A deep dive into Direct Lake
- Fabric Data Agents and beyond
- Anatomy of a Refactor: How to Delete 50% of Your DAX and Sleep Better
- Databricks Job - is it good enough to handle full scheduling and orchestration of Data Mart load?
Natalia Roślik
- DAMA‑DMBOK w Praktyce: 10 Kroków do Skutecznego Zarządzania Danymi
- Understanding Fabric Capacities: Everything You Need to Know
- Are your semantic models ready for Copilot?
- Your ultimate guide to consuming content in Power BI & Fabric
- Semantic Link – potężna siła w ekosystemie Microsoft Fabric
- Power BI + Power Automate = Automation at Next Level
- Zabezpieczenia na Poziomie Wizualizacji (Visual-Level Security) w Power BI
- Simplify your DAX with window functions
- Intuicyjne totale w Power BI
- Czy i jak dobrze dane potrafią mówić? Czyli o Fabric Data Agents
- The ultimate CI/CD showcase for Microsoft Fabric
- Weaving AI into Microsoft Fabric: Unlocking Insights and Supercharging Development
- Applying DevOps practices to your Power BI deployments in Microsoft Fabric
- Mission: Deployable – CI/CD Across Microsoft Fabric Tenants
- Reproducible MLOps Starts with Versioned Data: lakeFS + WAP + MLflow
- Write–Audit–Publish for Data Lakes: atomic, auditable data releases with lakeFS
- Calculation Groups & C#: Happily Ever After in Advanced Power BI
- The Sidekick's Guide to Supercharging Power BI Heroes
- From C# Spells to TMDL Sorcery: Evolving Your Power BI Magic
- Highload with Redis that doesn't work
- Experimentation at Scale: The Analytics Engineering Advantage
- Power BI Beyond Reporting: Unlocking Translytical Task Flow Possibilities
- Performance tunning for Power BI on Direct Lake with billions of rows
- Stop Babysitting, Start Delivering: DataOps for Fabric & Power BI Grown-Ups
- Streaming at Scale: Unity's Flink Data Platform
- Spark Tuning & Best Practices: From Theory to Production-Ready Performance
- Master the art of encryption in Azure SQL and SQL Server
- The Next Evolution of Transparent Data Encryption
- Unveiling the new Security Features in SQL Server 2025
- Jak budować skalowalne rozwiązania w Databricks: podróż z notebooków do pakietów
- Pełzająca migracja BI: między quick-winami a tech debtem
- Jak działają silniki kolumnowe?
- Columnstore w SQL Server – czym jest i dlaczego warto go poznać?
- From GUI to Scripting: PowerShell for the DBA
- Waitstats for the accidental DBA
- An introduction to Extended Events
- Query Store Basics: A DBA’s Best Friend
- From Flat to Sparkling: Monitoring Data Quality with Soda in Microsoft Fabric
- SQL Resurgence: Unleashing Data Potential with dbt
- From Fabric to Fantastic: How dbt Makes Your Lakehouses and Warehouses Shine
- Fabric Capacities: Divide and Conquer
- From Lock-In to Openness: The Shift in Data Platforms
- Thread by Thread: Lessons from Migrating to Fabric
- Modern Security Pattern for Serverless Apps -Multi-Layer Security defense model?
- A Unified Framework for Autonomous and Resilient Data Pipelines in AI Systems
- Handling Multiple Schemas in Real-Time Streams with Fabric
- Activator and Lakehouse files: Using lakehouse as a drop zone
- Fabric User Data Function: Write Back with Translytical Task Flows
- RAG in the Era of Knowledge Bases: Building Intelligent Retrieval with Microsoft Foundry
- Microsoft Foundry Demystified: Building and Evaluating Agents with MCP and Guardrails
- Unlocking Marketing Intelligence with AI Transformations in Fabric
- Smarter T-SQL in SQL Server 2025: Regex, Fuzzy Matching, and Beyond
- Vectors & AI: The Twin Engines of SQL Server 2025
- Low Code Medallion: Using Lakehouse Materialized views
- SQL Server Transaction Log Internals and How It Affects HA/DR
- Proactively Identifying and Dealing with SQL Server Database Corruption
- Keynote: Forget The Rules: The Power of Creating Your Own Career Path in Tech
- Keynote: Building a Recession-proof Career in the New Era of an AI-Driven Economy
- High Availability for PostgreSQL
- Getting Ready for SQL Server 2025: Upgrade Strategies for Highly Available SQL Server Environments
- Automate Your Daily Database Checks with PowerShell
- Always On Availability Groups and Failover Clustering Internals
- Kilka prostych metod na poprawę wydajność raportów Power BI
- Mastering Spark Notebooks and Capacity Optimization in Microsoft Fabric
- Optimizing Semantic Model Size and Refresh in Fabric Capacities
- Mastering Cross Semantic Model KPI Reporting in Power BI
- Next Step Power BI Semantic Model Development
- Advanced Semantic Model Development with Tabular Editor
- The Missing Runtime: AI That Acts. Not Just Chats.
- Git Good: Best Practices for CI/CD and Collaboration in Microsoft Fabric
- Intelligent Data, Smart Decisions: LLM as the New Standard in Data Management
- Ontology in Microsoft Fabric: The Semantic Model You Didn't Know You Were Missing
- How to Negotiate in Agile Teams
- The Power of Small Habits in Agile Teams
- Jak okiełznać odświeżanie dużych modeli Power BI za pomocą ADF.
- How does MCP Server for Power BI boost the productivity of data analysts and engineers?
- Is a Morally Aligned AI Our Only Chance?
- Dataflows, once known as M or Power Query, still reign supreme in Citizen Data Engineering.
- Start Your Data Journey with Power BI
- The pitfalls of using Copilot for Power BI
- From Bumps to Breakthroughs: Our journey of End‑to‑End MS Fabric Implementation at Enterprise Scale
- Azure Networking for Data Engineers: Practical Survival Guide
- ADF Observability: Seeing What Data Factory Monitor Can’t
- Streamlit - szybki sposób na tworzenie i udostepnianie Data Apps
- Snowflake SnowConvert AI
- Why Your SQL is Slow: Unmasking Hidden Performance Traps in Apache Pinot
- Importance of CLR Stored Procedure in SQL Server
- Czy jedna chmura to za mało? Porównanie platform danych w Azure, AWS i GCP
- Niedoceniane supermoce Databricks - Nowoczesny process transfromacji danyc
- SQL Server 2025: From Database to AI Engine – Vector Search, RAG, and Real-Time Intelligence
- Fabric and Power BI meet MCP - what can we get out of it?
- Tożsamość i Governance w Erze Agentów: Implementacja Frameworku Secure-by-Default
- Deep Dive: Architektura Systemów Autonomicznych: Microsoft AI Foundry i Wzorce Multi-Agent
- Od Data Lake do „Mózgu Agenta”: Deep Dive Fabric IQ i Ontologii
- From Insight to Action: The Strategic Shift to Agentic AI
- Data analytics when running… niche podcast
- Tabular model handy Toolbox to improve your PBI solutions
- Log Analytics: Monitoring your PBI solutions
- Testy w DBT przegląd i przykłady
- Ład, governance i bezpieczeństwo danych w Microsoft Fabric
- Deep dive into OneLake security
- Terraform + Fabric + GitHub – automatyzacja infrastruktury w praktyce
- Data Architectures and Microsoft Fabric
- Using Generative AI on Structured Data (to query or modify data)
- Deciphering Data Architectures full-day workshop
- Data modeling in Power BI
- External tools in Power BI
- Odkrywaj swoje dane w PowerBI zadając pytania w języku naturalnym
- Database Deployment Automation using Database Projects & Azure DevOps
- Apache Spark for SQL Data Warehouse Developers
- Mirror, mirror on the wall, who can sync their data best of all
- Fabric & Devops - How to and why should you
- An Introduction to Delta Lake and The Lakehouse
- Administering Microsoft Fabric: Capacities, Workspaces, and Domains
- Building Near Real-time Data Solutions in Microsoft Azure & Fabric
- Build a Lakehouse in an Hour with CF.Cumulus
- Build a Lakehouse in a Day with Metadata & Open-Source Tools
- Fast-Track Your Lakehouse Build with a Metadata Framework
- DirectQuery in Power BI: Trade-offs, Limitations, and Best Practices
- DevOps for Power BI: ensuring best practices compliance with Tabular Editor and PBI Inspector
- Boxing punch detection - how to create a VAR system?
- Zapewnienie bezpieczeństwa rozwiązań AI
- ABAC w Unity Catalogu, czyli dynamiczny dostęp do danych
- Jak przetwarzać tylko to, co się zmieniło - wzorzec niezależny od technologii
- Microsoft Purview: O co w ogóle chodzi w data governance?
- Blob Inventory: Co tak naprawdę siedzi w Twoim Storage Accouncie?
- Mastering AI Agents with Copilot Studio
- Microsoft Fabric i Snowflake - lepiej razem czy lepiej... nie mówić?
- Two Developers, One Mission: Make a Test Database That Doesn’t Suck
- Git Your Database Under Control: a 1 day VCS + CI/CD workshop for your database development
- Migracja on-line systemu ERP z czasem przełączenia mniej niż godzina - studium przypadku.
- Trenuj, wdrażaj, nadzoruj: techniczny przewodnik po MLOps w Databricks
- SQL Server i wektorowa rewolucja, czyli jak LLM widzi Twoje dane
- Mastering Microsoft Fabric: Everything you should know seminar
- Mastering Microsoft Fabric: End-to-End Solution HandsOn Development Workshop
- Choosing Between Import Mode, DirectLake, and Composite Models
- Time Intelligence with New Calendar Feature in DAX and Power BI
- Introducing DAX User-Defined Functions (UDF)
- DAX - Beyond the Basics
- Warehouse in Microsoft Fabric: Architecture Deep Dive
- User Data Functions: Development, Testing, and Integration
- Multi-tenant, multi-feature approach at DBT
- From firefighting to stable data
- Mirror, mirror on the wall, who can sync their data best of all
- Top Ten Disasters we've dealt with in our time as DBAs
- Bridging the Gap: Transforming Tech Friction into Startup Success
- A Step-by-Step Guide to Building a Data-Driven Culture
- A Modern Architecture for Data Exchange: Sharing Data with Databricks, Snowflake & Fabric
- Dokumentacja nie wystarczy: praktyczne szyfrowanie danych w Snowflake
- SQL Server 2025 Plan Cache Internals: Optimized sp_executesql & PSP Monitoring
- Unlocking Performance and Efficiency in Azure SQL and SQL Server
- Inside Data Compression in SQL Server and Azure SQL: Performance Gains, Trade-offs, and Engine Inter
- Next-Gen AI Insights Native Vector Search in SQL Server 2025
- SQL Server 2025 Mirroring to Microsoft Fabric: Real‑Time Hybrid Analytics
- Streamlined Deployments: Designing Robust YAML CI/CD Pipelines for Azure Data Factory
- Columnstore Indexes in Azure SQL: Architecture, Performance, and Scalability
- Adaptive Joins in Action: Dynamic Query Plans for Modern SQL Workload
- Optimized Locking in SQL Server 2025: Internals, Contention, and Concurrency
- Deep Dive into Memory Grants: Diagnosing and Optimizing Query Performance in Azure SQL and SQL Serve
- Bicep on Azure – Building Modular and Reusable Infrastructure as Code
- Become a Pro Power BI Developer: Level-up your skills with UDFs, TMDL and Semantic Link Labs
- Getting more efficient with time planning - it's not about time.
- How to create truly user-friendly self-service Power BI semantic model
- Design essentials for Power BI developer
- Simplifying Code Distribution with Databricks Asset Bundles
- Databricks Lakeflow Declarative Pipelines from Code to Flows
- From Floor Plans or Diagrams to Dynamic Dashboards: Synoptic Panel in Power BI
- SQL Injection 2026: Atak, który wciaz powraca. Live hacking w aplikacjach webowych
- Porozmawiajmy o niczym - pułapki NULLa w SQL Server
- Inside Power BI Embedded: Building Analytics Apps with the REST API (Technical Session)
- Power BI Embedded: What It Is, Why It Matters, and Where You Can Use It
- Geo-Intelligence: Unlocking Insights Through Open-Source Geospatial Analytics
- AI Agents on a Lakehouse - Learning Iceberg MCP, Kafka MCP and DuckDB MCP
- Data engineering without a cluster - A tour of PyIceberg and PyArrow
- JOIN "My Session" ON Modern = 'SQL'
- Building Intelligent Analytics with Semantic Link in Microsoft Fabric
- Data Factory in Action: Building Sustainable Solutions with Microsoft Fabric
- Catching the 'Bad Data' Epidemic: Real-Time Quality Assurance in Google BigQuery
- Stop the Data Bleed: Moving Beyond Quick Wins to Proactive Governance
- Data Quality in the Databricks Lakehouse
- Od zapytań do znaczenia: nowa era przeszukiwania danych
- Integrating RStudio and SQL Server for Data Analysis
- From Data to Intelligence: Understanding Big Data, AI, and the Modern Information Cycle
- Sql Server Audit - who did what when?
- SQL Server Accelerated Database Recovery
- SQL Server 2025 Vector Data Type and AI Models
- Thē wönderfűl wôrld of ćollåtions, eñcodingß and téxt sţoræge
- 20 lat programowania: od SQL Server 2005 do SQL Server 2025 – jak pisać naprawdę dobry kod SQL.
- Incremental Refresh Power BI
- Optimizing Power BI: Enhancing Performance Through Data Modeling
- Give Work to AI: How Agentic AI Powered the Humanless. Swiss AI Chatbot Factory
- Architecting Robust AI Systems for Entrepreneurs
- What Retro Games Taught Me About Microsoft Fabric
- Orchestration best practices in Microsoft Fabric
- Building Data Breach Search Engines with MySQL
- Beyond Search – Internals of Data Breach Search Engines
- Beyond Indexing - Running Tens of Billions of Rows in Any DBMS
- Empowering Data Products and Data Agents through Data Mesh in Microsoft Fabric
- From Insight to Oversight: Securing Power BI with Purview
- The Crucial Role of Data Quality in Your Data Estate
- Build Your AI Foundation with Fabric Metadata-driven Framework
- New features in SQL Server 2025
- AI-Powered Search in SQL Server 2025
- Untangling dbt Dependencies with Knowledge Graphs and AI
- DBT to English: Making Data Transformations Accessible with AI-Powered Documentation
- AI-Powered Airflow Management: From Desktop Assistant to Embedded UI Plugin
- Why English-to-SQL Usually Fails (and How We Fixed It with dbt Context)
- Preventing Broken Dashboards with Trino and dbt
- Modern ELT Pipelines with Trino, dbt, and AWS: From Ingestion to Analytics
- Custom AI Functions in Redshift Using AWS Lambda & Bedrock
- Control the Room: Nonverbal Hacks to Keep Stakeholders On Track
- How to Make Your Stakeholders Talk: Techniques from Professional Interviewers
- Get Rid of the Waste! How to Boost Your Communication by Shrinking It
- Collaboration Is a Lie Without Trust: How to Actually Connect with Stakeholders
- Beyond Q&A: Plan and Conduct Stakeholder Interviews Like a Pro
- IoT ... cloud ... big data - let‘s start small!
- From SQL to KQL via Azure Data Explorer
- Window functions in SQL Server - brush up your skills
- GeoSemantic Search on Azure: Marrying Spatial Indexes with Embeddings using Azure AI Foundry, OpenAI
- From Prompt Flow to Agents: Orchestrating External Systems with OpenAPI Actions & Power Automate
- Enhancing Multimodal RAG with Cosmos DB Vector Search and Azure AI Image Embeddings
- Empower Microsoft Fabric solutions using Generative AI on top of data in Fabric.
- Building Next-Gen Digital Twins with Microsoft Fabric
- Here’s the execution plan … now what?
- Execution plans ... where do I start?
- Five stages of grief - internals of a hash spill
- Debugging without debugger: investigating SQL Server's internal structures
- Advanced Indexing
- Approximate functions: How do they work?
- Performance and execution plan improvements in SQL Server 2025
- Execution plans explained
- Execution Plans in Depth
- Powering RAG and LLM with Real-Time Vector Data Replication using Oracle GoldenGate
- Building Agentic AI Workflows with xAI on Vertex AI: From Code to Action
- Why RAG Fails for Structured Data: Text2SQL approach for structured data
- For a Few Rows More: Mastering Row Goals in SQL Server
- A Fistful of Parameters: Take Care and Control of Unstable Plans
- Advanced T-SQL Triage: The Art of Fixing Terrible Code
- Introduction to Microsoft SQL Server for Database Experts
- SQL Server Idea Box
- Indices – Myths and Best Practices
- Stored Procedures vs Views vs AdHoc-Queries
- Multiuser, Locks und Co.
- SQL Server 2025 –New Features (for Developer)at a Glance
- AI & Vectors: The New Superpowers of SQL Server 2025
- From Data to Intelligence: The New Features in SQL Server 2025
- AI Is Easy - until you add people: Inside the Chaos of Implementing AI
- Love, Loyalty and Losses: A Startup Survivor's Story
- Unf*ck your mind: How to finally build something great again
- Congratulations, you are agile. Your product is still late.
- Practical SQL Server Performance Troubleshooting
- Mastering PostgreSQL for SQL Server Professionals: In-Depth Workshop for Developers and DBA
- Debunking Myths: Locking and Blocking in SQL Server Uncovered
- Mastering Docker for SQL Server
- Exploring PostgreSQL for SQL Server Developers and DBAs: Key Differences and Practical Demos
- CTE Myths—Busted!
- The strengths of partitioning – practical examples
- Resolving Deadlocks in SQL Server: A Practical Demo
- Demystifying Clustered Indexes in SQL Server
- SQL Performance Pitfalls: Identification and Optimization Lab
- The importance of data testing in the SDLC.
- What is technical debt and how can we find it?
- Automation for the people!
- Migrating with Confidence: Real-World Lessons & New Features from AWS Database Migration Service
- Dynamic Search Conditions - SQL 2025 Edition
- All You Wanted to Know About Collations
- Dynamic Pivot – Making Columns out of Rows
- Practical Databricks FinOps: Strategies for Cost Optimization in Data Lakehouse
- Bringing AI into Your DevOps Pipeline - Without Losing the Database Plot
- Stream, Materialize, Serve - Knitting Flawless Pipelines with Kafka, Flink, and Pinot
- One Does Not Simply Query a Stream
- From Tables to Streams: Apache Flink for SQL Developers
- Customer-First Analytics: Power BI Dashboard for Impact
- Type-safe Data Engineering: Compile-time Data contracts & Fiber-safe Data pipelines
- Automating Your Microsoft Fabric Data Platform: From Blueprint to Reality
- Azure AI Foundry : Generative AI Development Hub
- Humans will not turn into AI
- Scalable, Flexible, and Cost-Effective Data Lakes: Open-Source Solutions for Modern Data Management
- Journey Through the Layers of Data Protection
- A Well Architected Lakehouse – Get It Right from the Start!
- From Xbox to Insights: Real-Time Data in Action
- Real-Time Intelligence Masterclass with Microsoft Fabric