Dive into Data #21 [WROCŁAW]

Ready to go beyond theory and see what truly works in real projects?

Join Dive into Data, a meetup designed for AI & Data Science professionals, Big Data and analytics experts, architects, and tech leaders who want practical insights, honest lessons learned, and forward-thinking approaches to solving complex data challenges.

• When? 31/03/2026, 17:30
• Where? SoftServe Office, Wrocław, Jaworska 11-13, 7th floor

Talk #1 Snowflake Patterns: From EBCDIC Parsing to Automated Impact Analysis" by Paweł Jabłoński, Data & Analytics Technical Architect

Legacy migrations face two challenges: decoding EBCDIC/COBOL data and avoiding regressions during development. In this session, you'll learn about a native Snowflake architecture that solves both.

You'll see how Vectorized Python UDFs parsed hex-encoded structures 97% faster than standard tools (cutting 24 hours to 48 minutes). You'll also learn a novel method for Automated Impact Analysis — using Zero-Copy Cloning and deep JSON comparison to validate mappings for a proprietary target system, as one more layer of regression testing.

Talk #2 "LLM domain adaptation" by Piotr Kruczek, Data Scientist

LLMs work great in general domains, but things get harder when the data is limited or highly specialized. In this talk, you'll discover practical ways to adapt models to such settings, explore experimental results, and learn what worked — and what didn’t — in practice.