Call for Speakers

Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 13 months ago

SQLDay Lite 2024

event starts

18 Oct 2024

event ends

19 Oct 2024

location

Opera Nova Congress Center Bydgoszcz, Poland

website

sqldaylite.pl/

It's a next edition of SQLDay Lite in Poland, after couple years break. 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 16 months ago
Call for Speakers
Call opens at 12:00 PM

07 Jun 2024

Call closes at 11:59 PM

31 Jul 2024

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 30.06.2024
  • Technical sessions (45 min) - submissions until 31.07.2024
  • Keynote (20 min) - submissions until 31.07.2024


All sessions are in person for speakers and in-person for attendees. We are planning 8-hour workshops 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

120 submissions
Submitted sessions
Remigiusz Kinas
  • Keynote: Tajemnice budowy polskiego modelu językowego Bielik
Damian Widera
  • Wirtualizacja danych w SQL Server 2022
  • Jak użyć dbt w Microsoft Fabric
  • Użycie DBT w budowaniu hurtowni danych (i nie tylko)
Hubert Kobierzewski, Kornelia Kobierzewska
  • Jak poprawić czytelność wykresów w Power BI
Hubert Kobierzewski
  • Czy DirectLake zastąpi Import i DirectQuery?
Adam Marczak
  • Azure Data Engineering i Fabric - no i co teraz?
Michał Pstrąg
  • Querying structured data with LLMs in a systematic way
Wojciech Piątkowski
  • Czy warto być fullstackiem w data?
  • Optymalizacja kosztów analityki - mniejszy budżet, ten sam efekt
Jakub Wawrzyniak
  • Microsoft Fabric and Azure Databricks: tough love, or perfect symbiosis?
Mariusz Wójcik
  • SQL Server w Praktyce: Jak Skutecznie Usuwać Dane z Tabeli
Shannon C. Ryan
  • Navigating the Digital Evolution: A Technologist's Guide to Thriving in the Age of Innovation
  • Empowering Innovation: Women Pioneering the Future of Technology
  • Championing Diversity: The Role of Women in Shaping Tomorrow's Technology
  • Breaking Barriers: Women Leading the Tech Revolution
show all submissions
Catalin Gheorghiu
  • Adaptive Cloud & Fabric?
  • Custom Vision tips and tricks
Kev Chant
  • KevOps for Microsoft Fabric
  • Microsoft Fabric and GitHub - The story so far
  • Analytics development lifecycle for Fabricators
Tomasz Szreder
  • Power BI / Fabric Capacities - czym są, jak działają i jak je monitorować?
Tomasz Mazurek
  • Databricks DAB's - pierwsze wdrozenia
Tomasz Grobelny
  • Optymalizacja kosztów analityki - jak zredukować budżet uzyskujac ten sam efekt
  • Optymalizacja kosztów analityki - jak zredukować budżet uzyskujac ten sam efekt
  • Integracja Power BI z AI i Machine Learning - jak prognozować sprzedaż
  • Power Bi działa wolno? Quick win's - proste kroki do optymalizacji raportów
Tomasz Grobelny, Wojciech Piątkowski
  • PowerBI w Retail - analityka w firmie handlowej
Patryk Wyżgowski
  • Beyond Text2SQL: our experiences bridging users and data
Maciej Rubczyński
  • Demokratyzacja AI w wykonaniu Microsoft i Databricks
Paweł Orzech
  • Metadata driven ETL
Dhyan Rathore
  • Enforcing Power BI Best Practices with Azure DevOps
  • Automated Data Validation in Power BI with Power Automate
Joanna Borkowska, Beata Boraca
  • Upgrade Databricks z hive metastore do Unity Catalog - blaski i cienie
Mariusz Kujawski
  • Nowoczesny proces ELT,EtLT, a może ETL w chmurze
  • Z Warehouse do Lakehouse: Jeśli jeszcze nie jesteś w "chmurze" to jak to zrobić?
  • Implementacja architektury Medalion w Microsoft Fabric
Adrian Otto
  • Analiza Wykorzystania modelu Tabular w CI: Praktyczne Wykorzystanie Plików Projektów PowerBI
Slawomir Zablocki
  • Tworzenie Skutecznej Strategii Data Governance w Data Fabric
Tomasz Kostyrka
  • Elevate your Databricks development workflow with SHALLOW CLONE
  • Notebooks on wheels with Databricks Asset Bundles.
Michał Dębski
  • Power BI Monitoring: From PBI REST API through DWH and back again to PBI
  • Unleashing the Power of Automated Performance Tracking for Power BI Reports
  • Power BI Compass: Navigating between PBI Governance and Data Transformation
Piotr Tybulewicz
  • "Kto panu tak spier…", czyli o tym, jak zapewnić sobie sporą dawkę adrenaliny
Beata Zalewa
  • Microsoft Power BI and Microsoft Defender for Cloud
  • Microsoft Copilot skills in Azure SQL Database
  • AI in BI - Making the most of AI visuals in Power BI
Mateusz Mossakowski
  • [Power BI] partitions, incremental refresh, detect data changes, and custom polling expressions
Marcin Szeliga
  • All you need to know about AI Act
Jacek Nosal
  • Azure Map w Power BI. Mapa Polski 2024.
  • Świat map w Power BI. Zmiany, zmiany, zmiany...
Jose Manuel Jurado Diaz, Juan Moreno Romo
  • A Hybrid SQL Journey: The daily routine of a Hybrid DBA
  • Query Store and Azure SQL Copilot, who is the fairest in the land?
Navya Krishna Alapati
  • SQL Server Indexing Strategies using query store for Improved Performance
  • High Availability and Disaster Recovery in SQL Server
  • Building Scalable Applications with SQL Server Partitioning
  • Advanced Techniques in SQL Server Performance & Optimization
Krzysztof Burejza
  • Techniki rozwiązywania problemów z wydajnościa SQL Server
  • Niestandarowe triggery w Azure Data Factory
Mihail Mateev
  • Indexing in Azure Cosmos DB
  • Boosting Power Platform with OpenAI Capabilities.
  • Creating Custom Visuals in Power BI with TypeScript and D3.js
  • Deep Dive into Predictive Analytics using Azure Open AI GPT-4-TV and GPT-4o models with Vision
  • Empower OpenAI with Vector Search for Optimal Performance and Cost Reduction
  • Build Intelligent Applications using ChatGPT and Vector Search with Data in Azure Cosmos DB
Sofiia Alieva
  • End-to-end Data Flow in an R&D Organization
  • Data Democratization in Practice
Anonymized By Request
  • OSS Catalog Wars - Polaris vs Unity Catalog - Data Governor Tale
Paweł Ekk-Cierniakowski
  • Budowa aplikacji z agentami AI
Greg Strzyminski
  • Power BI zero to hero - podstawy Power BI w 1 dzień
  • Implementing VLS (Visual-Level Security) in Power BI
  • Level up UX in Power BI by leveraging advanced DAX
  • Elevate the art of possible in Power BI with the new card and slicer visuals
Tomasz Mazurek, Karol Krupa
  • Databricks - Devops dla zabieganych
Erland Sommarskog
  • SQL Titbits for the Inexperienced
  • Don't Bite Off More You Can Chew - Take it in Chunks
Elena Marquetti-Ali
  • Code to Clarity: Communicating Technical Concepts to a Non-Technical Audience
  • Fostering Vibrant Culture in Remote Evironments: Strategies for Success
  • Alone Together: Team-Building for Remote Teams
Łukasz Kastelik
  • Introduction to Apache Spark and Delta
  • Apache Spark and Delta - performance tuning
  • Your PC, Your Rules: Generative AI with Local LLMs
Artur Dalak, Piotr Zieliński
  • DAX - optymalizacje na przykładach
Sai Prudhvi Neelakantam
  • How to successfully deploy Advanced AI models on Azure Cloud?
  • Real-Time Object Recognition leveraging Azure AI and Medallion within Microsoft Fabric
  • Medallion in Fabric: End-to-End Use Case
  • Near-Real-Time Object Recognition using Azure AI and Microsoft Fabric
Sagal Ugas
  • Best Practices for Data Governance in Databricks
Omer Colakoglu
  • Performance tips to rocket your queries
Artur Dalak
  • Optymalizacja DAX w dużych modelach danych.
Maciej Kępa
  • MLOps on Azure - war stories and lessons learned
Abhilekh Verma
  • Advanced Microsoft 365 Mastery: Elevate Your Productivity
Pawel Potasinski, Bartlomiej Graczyk
  • Microsoft Fabric dla specjalistów Power BI
Patryk Miziuła
  • 7 things you don't need in time series analysis
Grzegorz Łyp
  • Key performance metrics of MS SQL Server performance
  • DIY: T-SQL code analysis
  • Execution Plans - from beginner to professional
  • Let's create MS SQL Server monitoring tool in a day
Tony Trujillo Dávila
  • Generative Intelligence with OpenAI at Microsoft
Natalia Warszewska
  • Cooperation Between Microsoft Fabric and Azure Functions
  • Building REST API with Azure Functions and Azure API Management
  • Microsoft Fabric REST API: Possibilities and challenges
  • Python interpreting language vs Spark computing in processing of popular file formats
Michał Gołoś, Pawel Potasinski
  • Jak AI wylądował w świecie SQL, czyli poznaj Snowflake Cortex
Gianluca Sartori
  • Using WorkloadTools to Modernize your SQL Server Instances
  • Baking Extended Events recipes without breaking a sweat
  • Time Series with SQL Server 2022
Dieter Gobeyn
  • Transforming SQL Authentication: Real-World Scenarios with Azure Managed Identity
Grzegorz Stolecki, Krzysztof Burejza
  • SQL Server - droga do optymalnej konfiguracji i wydajności
Grzegorz Stolecki
  • Monitorowanie SQL Server - narzędzia, analiza i life-hacks
  • Kalkulacje wizualne w Power BI
Michał Kowalczewski
  • Ai powered semantic search in your Database
Marcin Gąstół
  • Zbudujmy wspólnie proste rozwiązanie AI i zintegrujmy je z Azure Cosmos DB!
Joanna Hryniewicz
  • Enhancing Microsoft Fabric and Power BI Adoption with a Center of Excellence
Przemysław Starosta
  • Plany zapytań - omówienie komponentów
Szymon Lasota
  • Zaawansowane metody orkiestracji w Azure Data Factory
Mikey Bronowski
  • dbatools - sesja niespodzianka
  • Double Vision with Copilot: Enhancing Your Code Twice as Fast
  • DBCC CHECKDB: The Never-Ending Story - Why It Takes Forever?