Daniel will take a hands-on journey into building AI analyst agents from scratch. Using dbt metadata to provide large language models with the right context, he’ll show how to connect LLMs to your data effectively. Expect a deep dive into the challenges of query generation, practical frameworks for success, and lessons learned from real-world implementations.
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Speaker
Daniel Herrera
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talks
Analytics Engineer & Developer Advocate
Teradata
Daniel Herrera is a Principal Developer Advocate at Teradata, where he helps developers and data teams connect modern data engineering with AI innovation. He works across open-source tools like dbt, Airbyte, and Airflow, and explores how generative AI and data lifecycle automation can create real business impact. With a background in software and blockchain development, Daniel is passionate about open collaboration and making complex technology accessible through practical examples.
Bio from: Analytics Engineering and AI Native Amsterdam Co-Op Meetup
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