Call for Speakers
in 6 months
SQLDay 2027
event starts
10 May 2027
event ends
12 May 2027
location
Centennial Hall Wrocław, Poland
website
sqlday.pl
SQLDay is one of the largest data-focused conferences in Central Europe, bringing together professionals, practitioners, and enthusiasts working with databases, Big Data, Business Intelligence, data engineering, and advanced data analytics.
Since 2009, SQLDay has been a place for the data community to exchange practical knowledge, share real-world experience, and discuss the technologies and challenges shaping modern data platforms.
The conference features technical sessions delivered by experienced speakers from Poland and abroad, covering both established technologies and emerging trends across the broader data ecosystem.
SQLDay is organized by Data Community Poland, formerly known as the Polish SQL Server User Group (PLSSUG), continuing the same community-driven tradition behind the conference over the years.
open, 53 days left
Call for Speakers
Call opens at 5:00 PM
25 Sep 2026
Call closes at 11:59 PM
31 Dec 2026
Call closes in Central European Standard Time (UTC+01:00) timezone.
Closing time in your timezone () is .
Submission deadlines:
- Pre-con workshops - until 30.11.2026
- Breakthrough sessions - until 31.12.2026.
Submission tracks:
SQL in Action: Performance & Craft
Practical sessions on SQL language, query optimization, database internals, performance tuning, indexing strategies, and data modeling. Share real-world techniques, troubleshooting stories, and deep dives into getting the most out of relational databases.
Modern Data Engineering & Analytics
Data pipelines, ETL/ELT, streaming, cloud architectures, analytics engineering, reporting, and modern BI solutions. Learn how to build scalable, efficient, and reliable data ecosystems that power business insights.
AI, Agents & Intelligent Data Systems
Generative AI, AI agents, LLMs, RAG, copilots, AI engineering, vector databases, knowledge systems, and practical AI applications across modern data platforms. Explore how intelligent systems are transforming the way we build, manage, and consume data solutions.
Data Architecture & Governance
Modern data platforms, cloud architecture, governance, security, master data management, metadata, and enterprise-scale data strategies. Discover approaches for building trusted, scalable, and well-governed data environments.
Data Excellence: Best Practices, Quality & Security
Data quality, testing, observability, reliability, security, compliance, maintainability, and operational excellence. Focus on proven practices that help teams deliver trustworthy, resilient, and secure data solutions regardless of technology 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 2 speakers
- onsite attendees only
Online Pre-con seminar (lecture + demos):
- online speaker
- online attendees
all submitted sessions
publicly listed on this page
accommodation
expenses covered
event fee
free for speakers
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151 submissions
Submitted sessions
Jonathan Stewart
- Pipelines That Don't Break at 2 AM: A Metadata-Driven Methodology for Microsoft Fabric
- Why Did the Agent Say That? Debugging Agent Memory with SQL
- The LLM Never Decides Mastery: Building dino.study with Python BKT/FSRS + Postgres Prerequisite Grap
- Audit Ready by Design: Azure Pipelines for $200M in Public Investment
- Quarantine, Don't Crash: Data Contracts and Quality Gates in Python with Polars
- How Attackers Actually Reach Your Data: A Live Look at Database Intrusions
- Unity Catalog Without the Fire Drill: Schema Changes, Permissions and Safe Deployments
- Configuration Is Not a Programming Language: Multi-Market Pipelines in PySpark
- Rerun Without Regret: Building Retry-Safe Data Pipelines
- Can We Build It? Will They Use It? Are We Asking the Right Questions?
- Agentic AI Data Migration Approach - czyli jak migrować szybciej przy użyciu Agentów AI
- High Speed JPA
- AI Monopoly: Sovereign Data Platforms in an Era of Market Consolidation
Mariusz Wójcik
- AI-Powered SQL Server Troubleshooting – od diagnozy do optymalizacji
- SQL Server + MCP – jak bezpiecznie podłączyć agenta AI do bazy danych?
- AI na tropie podatności – SQL Injection i Prompt Injection pod lupą
- Unity Catalog w Microsoft Fabric – integracja, możliwości i ograniczenia
- Real-Time Context for AI Agents: Streaming in Microsoft Fabric
- LLMs as the Cognitive Layer in Data Pipelines
- Is Your Data Platform Really Ready for AI?
- Ontology in Fabric IQ as the Foundation for Reliable Data Agents
- Evaluating Agent-Generated SQL and Semantic Models Beyond Reconciliation
- SQL Server Performance Optimization: From Root Cause Analysis to Sustainable Solutions
- Adaptive Joins in Action: Dynamic Query Plans for Modern Azure SQL Workload
- Azure SQL Transaction Log: Less Waiting, Faster Writes
- Optimistic Concurrency in SQL Server: Benefits, Costs, and Trade-offs
- Smarter Memory Grants: Memory Grant Feedback in Azure SQL
- Inside Data Compression in SQL: Performance Gains, Trade-offs, and Engine Internals
- Accelerated Database Recovery - How Azure SQL Made Rollbacks Instant
- Smarter Parallelism: Degree of Parallelism Feedback in Azure SQL
- SQL Server 2025 Plan Cache Internals: Optimized sp_executesql, PSP & OPPO
- Nie tylko chatboty: Copilot Studio w toolboxie specjalisty danych
- Analityk danych w erze Agentic AI
- Grounding Agents on What You Already Have: SharePoint, Dataverse, Azure SQL and Fabric
- Data That Expires on Purpose: A 24-Hour Azure SQL Store for Regulated AI Workloads
- How to get value from your investment in AI
- Look to the horizon with the new PostgreSQL option in Azure
- AI assistants: The return of the knowledgebase
- Building Production-Ready AI with Layered Lakehouse and Enterprise Feature Stores
- Optimizing Shard Keys and Replica Placement for Geo-Distributed SQL Databases
- Policy-Driven Database Provisioning: Automating Governance Across Multi-Cloud Platforms
- Query Performance Enhancements in SQL Server 2025
- Answering Questions Using Extended Events
- Fun With Radios: Using postGIS and PostgreSQL in Amateur Radio
- I Did A Dumb: Data Recovery in PostgreSQL
- Geospatial Agents: Teaching AI Agents to Reason About Place
- SQL Without a Server: Querying, Syncing and Vector Searching Data on Edge Devices
- Window functions in SQL Server - brush up your skills
- Publishing and consuming REST APIs in SQLServer 2025
- JSON and REST APIs - the best of both worlds now in SQL Server 2025
- Modern Data Engineering & Analytics
- Materialized Views Come to the Lakehouse: Rethinking Medallion Pipelines in Fabric
- You Already Know the Hard Part: Shipping Enterprise AI Agents for Data Professionals
- If Your Disaster Recovery Plan Doesn't Cover Panic, It's Fiction
- Why Big Tech Wins at Data Engineering (And Why Others Struggle)
- SMT Stories: SQL Server Tuning from the Trenches 2027
- Building Open-Source Performance History for Oracle Database
- PVS in SQL Server: When old row versions refuse to die
- Secrets from Microsoft: What really happens inside SQL Server 2025 Optimized Locking?
- Context Engineering and Workflows for GitHub Copilot in VS Code
- SQL at Scale: Keeping Production Systems Fast and Stable
- Governing Predictive Analytics in Banking: Data Quality, Explainability, and Compliance
- From Banking Data to Predictive Insights: Engineering Scalable Analytics Platforms
- A sales coaching agent built with Fabric IQ, Work IQ and Copilot Studio
- Real-Time Data Processing in Fabric: Tracking a Cycle Ride
- Shaping the Future of AI: Ethics in a World of Constant Change
- Systems Thinking for Performance: How to Diagnose and Fix Slow Systems without Guessing
- Query Store Basics: A DBA’s Best Friend
- Oops. Can We Restore It?
- From GUI to Scripting: PowerShell for the DBA
- An introduction to Extended Events
- “From Transactions to Intelligence: SQL Database in Microsoft Fabric”
- The Hidden Cost of AI
- Data privacy for data professionals
- From Dashboards to Models: applied AI for BI professionals
- From Convenience to Control: Breaking Free from Big Tech Data Platforms
- Building Reliable Fabric Data Agents
- Break your AI system before users do: Red teaming your AI Agent
- The Harness Is the Product: Engineering Context for Dependable AI Systems
- Context driven AI Agents
- Data Modelling for AI-Driven BI
- Agentic Analytics in Production: Cutting Metric Alert Investigation from 30 Minutes to Under 5
- Fabric Apps - a quick start guide for Power BI Developers
- From AI Policy to Release Gates: Governing AI Before Production
- Engineering Resilient Data Pipelines for Illiquid Loan Portfolio Valuation
- Securing and governing Agentic AI: MAESTRO Threat Modeling and Red Teaming in Practice
- Dual-Plane Observability for Reliable Agentic AI and Data Systems
- Governed Data Access for Agentic AI Across Modern and Legacy Platforms
- Key Note - Smarter T-SQL in SQL Server 2025: Regex, Fuzzy Matching, and Beyond
- o Proactively Identifying and Dealing with SQL Server Database Corruption
- Billions Served: high volume Time Series with ClickHouse on Azure
- Disaster recovery of Reporting Platform
- Slim Models, Lower Bills: Cutting Power BI/ Fabric Capacity Costs from the Inside
- When AI Needs More Than Memory: Designing for Identity, Context, and Relationships
- Three Lessons from a Woman in Enterprise Architecture
- Strong People Need Strong Systems: Why Transformation Fails When We Compensate
- Architecting Autonomous Run loops: State Machine Design and Execution Patterns with Google Gemini
- When AI Agents Meet Real-World Data: Building Reliable Agentic Systems in Production
- When Outdated Statistics Aren’t the Problem:Troubleshooting SQL Performance with the Query Optimizer
- Query Store + Copilot Agents: Which Is the Baddest Query in Your SQL Workload?
- Did the Agent Change the Data? A State-Based Evaluation Harness
- Semantic Model Emergency Room: Diagnose, Stabilize, and Scale Power BI Before Rewriting Everything
- Fabric Architecture Under Pressure: Turn Business Requirements into Tested Architecture
- The Agent Changed My Power BI Report. Can I Trust the Result?
- Yesterday’s Data, Today’s Promise, Tomorrow’s Complaint: Designing For Data Freshness
- Copilot Has Access. Judgment Sold Separately.
- Full Of Dashboards, Out Of Stock: Write-Back For Supply Chain Decisions
- The SUM of All Fears: What Was Your Budget Really Calculating?
- Social Engineering in the AI age
- Building Private, Always-Current RAG Pipelines and Semantic Search with SQL Server
- SQL Server 2025 Optimized Locking
- Dynamic Pivot – Making Columns out of Rows
- Introduction to Regular Expressions in SQL Server
- Why Loops Are Slow
- All You Wanted to Know About Collations
- Building Scalable Azure Data Pipelines AI Agents using PySpark, Delta & Databricks
- Report Design With Intent: From Layers to Decisions
- Power BI & Storytelling - Research, create, deliver
- Fabric Apps - From Report to Action
- Two Lakehouses, One AI Architecture: Building Enterprise AI with Fabric and Databricks
- Trusted AI Starts with Trusted Data: Lessons from Building Enterprise Knowledge Agents
- Beyond Vector Search: How Fabric IQ, Ontology and Semantic Models Power Enterprise AI
- SQL Server: Full-Text search VS Vector search: A duel to the death, really?
- Data Mesh Without the Hype: What Survived Contact with Reality
- Talk to Your Database Without Setting It on Fire
- Your Pipeline Passed. Your Data Is Still Wrong.
- Power BI Performance: Diagnose, Treat, Optimise
- Knit Once, Reuse Everywhere: Automating Power BI with UDFs and C#
- Self-Service Power BI: Superpowers Without Superchaos
- Investigate, analyze and solve common wait stats scenarios
- Refracture your SQL Code when indexing does not help
- Improve Your Skills as a Database Developer for SQL Server
- Resolving Deadlocks in SQL Server: A Practical Demo
- How Intelligent Query Processing (IQP) can help reduce cloud costs
- Mastering Statistics in Microsoft SQL Server
- How to properly handle LOB data in SQL Server
- Building a Modern Data Warehouse with ClickHouse: From Theory to Practice
- Apache Iceberg on AWS - The Open Table Format Data Engineering teams Actually Need
- The Anatomy of DuckDB: How an In-Process OLAP Engine Works in Pure Python
- The price of read consistency: how MVCC keeps your old versions in SQL Server, PostgreSQL and Oracle
- Forwarded: Fwd: Fwd: RE: Urgent - Fixing your Tickets with Azure DevOps and Dynamics 365CE
- Stop right there: You are spending real money on AI. Where is the real value?
- Agents 006: The license to build. Picking the right Microsoft agent for your mission
- From Computer Vision to Agentic AI: Turning Visual Anomalies into Actions
- Your Dashboard Has No Stall Warning
- Dashboard are Dead, Talk to your Data!
- Bronze, Silver, Gold: An Opinionated Guide to Medallion Architecture in Fabric
- The World's Worst Dashboard - A Gamified BI Experience With Fabric Apps
- Babelfish: The SQL Server Killer?
- Data and AI Governance in Microsoft Fabric under the EU AI Act
- From Zero to Fabric Apps: Automated Transformation and Deployment with Rayfin