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Marcin Szymaniuk

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Spark Performance Tuning and TroubleshootingBig Data Conference Europe 20252025-11-19
Shows concrete fixes and measured wins: a UDF that makes an HTTPS call is slow because of connection-per-record and becomes fast when a single connection is…
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Advanced Prompt Engineering and BeyondBig Data Conference Europe 20252025-11-19
Claims specific performance gains from techniques and clear failure modes for production: shows retrieval pipelines using Hyde and ColBERTv2 and re‑ranking…
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Optimising Apache Spark and SQL for Improved PerformanceBig Data & RPA Conference Europe 20242024-11-19
Shows concrete failures and fixes: Spark 3 still leaves cases where a single partition swallows most data — 100 GB input becomes a 67 GB partition across 1,000…
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AI Chats: Challenges in Business IntegrationBig Data & RPA Conference Europe 20242024-11-19
Shows runnable code using LangChain and vector databases to do sentiment tagging and RAG retrieval, measures retrieval with precision and recall on a golden…
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Effective Data Migration: Challenges & SuccessDSC Europe 242024-11-18
Practical guidance for migrating data platforms to public or hybrid clouds with concrete tradeoffs and fixes: choose tools to match team skills, build…
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ChatGPT, LLMs, and LangChains - A Beginner's GuideSREday London 20242024-09-19
Covers building end-to-end LLM systems with concrete tools: OpenAI chat API, LongChain chains that pipe prompts and outputs, connectors to PostgreSQL and…
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ChatGPT & LLMs: A Practical Starter's Guide to Language ChainsVoxxed Days Luxembourg 20242024-06-20
Shows live code using OpenAI + LangChain, Weaviate-style vectors, lsmith logging and Nemo guardrails to build concrete features: a batch sentiment labeler that…
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DataFrames in Apache Spark - the analysts perspectiveBerlin Buzzwords 20182018-06-11
Practical debugging of Spark DataFrame failures with concrete fixes and numbers: shows partitionBy can produce thousands of tiny HDFS files when 8,000 input…
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