<ul><li>The traditional ETL process used rule-based approaches, which involved manual configurations and had limitations in handling data format changes.</li><li>Large language models (LLMs) are revolutionizing the ETL process by providing contextual intelligence, adaptability, and automation.</li><li>LLMs enable schema-less extraction, natural language queries for data integration, adaptive data transformation, and multi-modal support.</li><li>Practical examples, such as LlamaExtract, demonstrate how LLM-powered ETL tools simplify structured data extraction from unstructured sources.</li></ul>

ETL With Large Language Models: AI-Powered Data Processing

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