Call for Speakers
in 6 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, 43 days left
Call for Speakers
Call opens at 5:00 PM
10 Oct 2025
Call closes at 11:59 PM
15 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 15.12.2025.
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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94 submissions
Submitted sessions
Pamela Paterson
- 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
- 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
- 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
- Don't RAG for structured data: Text2SQL approach for structured data
- Query Store Basics: A DBA’s Best Friend
- 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
Thorsten Kansy
- 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
- 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
- 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
- From Data to Intelligence: Understanding Big Data, AI, and the Modern Information Cycle
- Dynamic Search Conditions - SQL 2025 Edition
- All You Wanted to Know About Collations
- Dynamic Pivot – Making Columns out of Rows
- 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
- 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
- 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
- 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
- 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?
- 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