Call for Speakers

Call for Speakers is closed. Submissions are no longer possible. Sorry.
in 47 days

SQLDay Lite 2026

event starts

24 Sep 2026

event ends

25 Sep 2026

location

Politechnika Gdańska, Budynek B Wydziału Elektroniki i Informatyki Gdańsk, Poland

website

sqldaylite.pl/

It's another fabulous edition of SQLDay Lite in Poland. It's in-person event only, community-oriented and a bit smaller than the original SQLDay. SQLDay Lite, in scale is closer to SQL Saturday or Data Saturday events happened in previous years in Poland.

Have a topic burning in your mind? Share it with us! Submit your session ideas in the “data” field, and let’s make the return of SQLDay Lite unforgettable! We are skewed towards Microsoft technology stack but we always include other vendors in our agendas.

Event organizer is Data Community Poland - your friend in data for almost 20 years.

Join us, and let’s create new memories together! 

finished 7 days ago
Call for Speakers
Call opens at 9:00 AM

12 May 2026

Call closes at 11:59 PM

31 Jul 2026

Call closes in Central European Daylight Time (UTC+02:00) timezone.
Closing time in your timezone () is .

The call for speaker is split into two parts:

  • Pre-con workshops (8h) - submissions until 30.06.2026
  • Technical sessions (45 min) - submissions until 31.07.2026
  • Keynote (20 min) - submissions until 31.07.2026


All sessions are in person for speakers and in-person for attendees. We are planning 8-hour pre-con training sessions and 45-minutes breakout sessions - all data related. Whether it is on-premises or in the cloud. ETL or AI. Architecture or database engine deep-dive. Programming or administration. All topics welcome.

For pre-con workshops, we prefer them to include hands-on labs.

Session/workshop language: polish or english


all submitted sessions

publicly listed on this page

accommodation

expenses covered

event fee

free for speakers

1 night for general session speakers, 2 nights for pre-con speakers

134 submissions
Submitted sessions
Bartlomiej Graczyk, Pawel Potasinski
  • Agenci LLM bez iluzji: architektura danych, RAG i wzorce wdrożeń produkcyjnych
Damian Widera, Agnieszka Cieplak
  • Lakehouse, Warehouse czy oba? Jak nie przekombinować architektury w Microsoft Fabric
Greg Strzyminski
  • Implementing VLS (Visual-Level Security) in Power BI
  • Czy i jak dobrze dane potrafią mówić? Czyli o Fabric Data Agents
  • Zbuduj własną aplikację CRUD w Fabric Apps
Bartłomiej Staszkiewicz
  • Managing Snowflake Costs with Datadog: An Effective FinOps Strategy
Kamil Nowinski
  • Grant, Revoke, Repeat: A Declarative Approach to Unity Catalog Permissions
  • Enforcing Data Quality at Every Layer: Lakeflow Declarative Pipelines Expectations in Databricks
  • Databricks & DevOps - How Declarative Automation Bundles help with CI/CD
Łukasz Balcerzak, Dominik Dębowski
  • Kontrola wersji i CI/CD w Power BI — case study, w którym najtrudniejsi okazali się ludzie
  • Power BI agentic development
  • 3000 punktów, zero chaosu – geograficzny case study w Power BI
  • DAX User-Defined Functions - wprowadzenie i przegląd zastosowań
Dawid Kolasa
  • Zmierz, nie wierz: test A/B warstwy kontekstu dla agentów nad danymi
Branden Millward
  • From Black Box to Bright Light: Building Trust in AI for High-Stakes Sectors
  • Unlocking The Value Of AI For Your Business - Where To Start
  • Agents That Survive Contact With Production: What Breaks Between the Demo and the Real World
  • Building Agentic Systems - From Prompts to Production
  • Adopting AI In Your Business - A Practical Roadmap For Real Results
Thrifty Kapila
  • Hyper-personalized advertising with AI powered Search
Michal Pardej
  • SQL Server Columnstore Index: When it Wins, When It Quietly Loses
show all submissions
Gabriel Gołda
  • Automated Testing of PBI Deployments
Frank Geisler
  • From Prompt to Production: Building Data-Driven Applications with Fabric Rayfin
  • Real-Time Intelligence Masterclass with Microsoft Fabric
Frank Geisler, Peter Kruis
  • SQL Server Real-Time Intelligence
Frank Geisler, Hanna Schwab
  • Fabric IQ Explained: Turning Insights into Intelligent Action
Anastasia Senitz
  • Fabric, Fast: What to Build, What to Skip, What Breaks
  • Building AI Data Agents in Microsoft Fabric: From Raw Data to Context-Aware Answers
Hubert Kobierzewski, Natalia Bednarek
  • Od kostki OLAP do agenta AI – dlaczego model danych znowu stał się superważny
  • Power BI + MCP: niech agent zrobi model za Ciebie
Grzegorz Brodny
  • Columnstore w SQL Server – czym jest i dlaczego warto go poznać?
  • Pełzająca migracja BI: między quick-winami a tech debtem
  • Jak działają silniki kolumnowe?
Grzegorz Brodny, Remigiusz Tunowski
  • Ontologia Palantir Foundry jako brakujące ogniwo między SQL a LLM
Duncan Boyne
  • AI Can Build the Whole Report. Here's How
  • Design Before DAX: Wireframing Better Power BI Dashboards
  • Good Design Wins Adoption
Bas Land
  • Forget the Enterprise: a pragmatic Fabric architecture for SMEs
  • Delta Table Optimisation - Improving Queries using Delta Partitioning and Liquid Clustering
  • Dashboard are Dead, Talk to your Data!
  • Bronze, Silver, Gold: An Opinionated Guide to Medallion Architecture in Fabric
Jayakumar Ramalingam
  • From Telemetry to Recovery: Building Self-Healing Cloud Systems with Multi-Agent AI
  • Real-Time AI Feature Pipelines: From Clickstream to Inference in Production
Kev Chant
  • The ultimate CI/CD showcase for Microsoft Fabric
Maciej Rubczyński
  • Ten sam czat, różne dane: OBO, RLS i Unity Catalog w praktyce
Paweł Ekk-Cierniakowski
  • AI-powered translation and text to speech for modern newsrooms
  • Zapewnienie bezpieczeństwa rozwiązań AI
  • Automatyczna dekretacja faktur z wykorzystaniem Microsoft Fabric
Artur Dalak
  • Databricks Delta Lake: techniki inkrementalnego zapisu danych
Joanna Hryniewicz
  • Ask, Don't Build: The Coaching Questions That Save Your Power BI Project
  • Metabolic FinOps: Why Your Fabric Capacity Keeps Gaining Weight
  • Fabric FinOps: Getting Every Drop Out of Your Capacity Units
  • AI-Ready Semantic Layer Lab: Design, Test and Govern Models for Copilot
  • Architecting the Fabric Estate: A Hands-On Well-Architected Framework Masterclass
  • Your Data Platform Is Overweight: A Biohacker’s Guide to Cutting Fabric Fat Without Losing Strength
  • The Nervous System of Modern Teams: Coaching in the Age of AI
Maciej Kępa, Piotr Balik
  • Postgres as a platform - telemetry, search and AI
  • MCP Servers - build your own toolkit for AI agents
Piotr Tybulewicz
  • Migracja projektów Data & Analytics: to nie tylko zmiana connection stringa
Rafał Mościcki
  • Power BI AI Environment. Next tools or game changers?
Kornel Skałkowski
  • AI&SQL - can they work together?
Damian Widera, Estera Kot
  • Kupiłeś Fabric. I co teraz? Praktyczny warsztat dla ludzi od Power BI, SQL i Excela
Tomasz Mazurek, Karol Krupa
  • Fabric & Devops - How to and why should you
Przemysław Haraźny
  • Developing Power BI as Code: TMDL, PBIR, and Git in Microsoft Fabric.
Sam Debruyn
  • Getting started with dbt on Fabric
  • Hardening Fabric Warehouse Security
  • Thread by Thread: Lessons from Migrating to Fabric
  • Monitoring Fabric Data Warehouse at Scale
  • From Flat to Sparkling: Monitoring Data Quality with Soda in Microsoft Fabric
  • From Fabric to Fantastic: How dbt Makes Your Lakehouses and Warehouses Shine
  • Fabric Capacities: The Administrator’s Guide
Jonathan Burger
  • No Data Team, No Problem: A Low-Cost Power BI Architecture with AI-Assisted Development
  • From Excel Snapshots to Trusted BI: Change Ledgers and Semantic Models Without a Warehouse Budget
Krzysztof Burejza, Damian Widera
  • Delta Tables w praktyce: najczęstsze problemy wydajnościowe i jak ich unikać
Krzysztof Burejza
  • Agentic AI w Databricks więcej niż RAG
Krzysztof Burejza, Mariusz Wiecha
  • Agentic AI na Databricks: agenci, narzędzia i RAG
Kev Chant, Sander Stad
  • From Setup to Deployment: A full day of CI/CD excellence for Microsoft Fabric using Azure DevOps
Peter Kruis
  • An introduction to Extended Events
  • Query Store Basics: A DBA’s Best Friend
  • From GUI to Scripting: PowerShell for the DBA
Tonie Huizer, Peter Kruis
  • Two Developers, One Mission: Make a Test Database That Doesn’t Suck
  • Entity Framework Is Not the Problem. You Are.
Tonie Huizer
  • How to Build Workflow-Driven Database Provisioning in Azure DevOps
  • Git Happens: From Folder Chaos to Controlled Versioning for Data Professionals
  • Git Your Database Under Control: a 1 day VCS + CI/CD workshop for your database development
Andrzej Strzala
  • Fabric Apps z Rayfin. Możliwości i konfiguracja krok po kroku.
Chandan Chakraborty
  • Lakebase: a Postgres Database in Databricks
Omer Colakoglu
  • Building an AutoML Pipeline for Vector Data in Azure SQL
Gianluca Sartori
  • Using WorkloadTools to Modernize your SQL Server Instances
  • Questioning My SQL Server Faith… So You Don’t Have To
  • Babelfish: The SQL Server Killer?
Mariusz Wójcik
  • Databricks Anti-Patterns: How Good Architectures Become Data Swamps
  • How to Write Queries You'll Still Understand in Two Years
  • SQL Anti-Patterns That Survive Code Reviews
Michał Gołoś
  • Migracja z SQL Server do Snowflake z AI agentem
  • Database Change Management w Snowflake - porównanie z Database Projects w SQL Server
Andrew Pruski
  • The Burrito Bot: AI-Powered Search in SQL Server 2025
Natalia Roślik
  • Data Governance dla normalnych ludzi – bez korporacyjnego bełkotu
Dominik Leu
  • From handcrafted to repeatable: putting Fabric skills to work in Power BI
  • No Desktop required: How far can you get developing Power BI entirely in the browser?
  • Teach your agent new tricks: Building Agent skills for Power BI
  • The good, the bad, the ugly with agentic development
Erland Sommarskog
  • Facts and Musings about Collations
  • SQL Titbits for the Inexperienced
  • Don’t Let Your Permissions Be Hijacked!
Marcin Chudeusz
  • The Future of Data Quality: Can We Let Data Fix Itself?
  • Kiedy jakość danych staje się KPI: Data Observability dla biznesu i IT
  • Data Quality bez ETL-owego balastu: kontrola jakości danych bezpośrednio w bazie danych
Kacper Glugla, Jakub Igła
  • Migracja SQL Servera na Databricks – praktyczny poradnik z wykorzystaniem GenAI
Jose Manuel Jurado Diaz, Juan Moreno Romo
  • Resilient, Scalable Data Management with Azure SQL Hyperscale for Devs and DBAs
  • SSMS Copilot to the Rescue – Integrating AI into Your Daily DBA Work
Tomasz Libera, Michał Sadowski
  • AI-ready SQL Server 2025: praktyczne warsztaty z vector search, JSON, regex i Fabric
Nick Holt
  • Bigger and Wider is Better
Kristian Johannesen
  • Semantic Models and Databricks: Learnings from the field
  • Genie in a bottle: An introduction to Conversational BI on Databricks
Uwe Ricken
  • How to properly handle LOB data in SQL Server
  • Security techniques for cross database access
  • The strengths of partitioning – practical examples
  • Mastering Statistics in Microsoft SQL Server
  • How Intelligent Query Processing (IQP) can help reduce cloud costs
  • Improve your skills as a professional DBA
  • SQL Performance Pitfalls: Identification and Optimization Lab
Dominik Szcześniak
  • AI Meets Power BI: Practical MCP Server & AI Use Cases Beyond Development
  • Slim Models, Lower Bills: Cutting Power BI/ Fabric Capacity Costs from the Inside
Federico Fregosi
  • Scalable, Flexible, and Cost-Effective Data Lakes: Open-Source Solutions for Modern Data Management
Mateusz Osiak
  • Medallion Architecture w dużej organizacji: więcej niż Bronze, Silver i Gold
Mladen Prajdic
  • Social Engineering: Hacking People
  • SQL Server Accelerated Database Recovery
  • Thē wönderfűl wôrld of ćollåtions, eñcodingß and téxt sţoræge
  • SQL Server 2025 Optimized Locking
Lukasz Grala
  • AI pod lupą: Jak nie utopić projektu w morzu hype'u.
Maciej Szymkowski
  • Can we trust LLMs?
Jakub Wawrzyniak
  • Operacjonalizacja procesów biznesowych z Microsoft Fabric IQ
  • Azure HorizonDB: nowa generacja rozproszonych baz danych w architekturach cloud‑native