Technical Talks
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Data Engineering Is Not Software Engineering, Until It Is
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ABOUT THE TALK
- Lightning Talks
Modern Data Engineering: Bridging DevOps, MLOps, and Software Development | This technical session examines how modern data engineering is evolving beyond traditional software engineering practices, focusing on data pipeline architecture, testing frameworks, and deployment strategies. Through real-world case studies from dbt (data build tool) implementations and SQLMesh data transformation workflows, the presentation explores how data teams are adopting GitOps methodologies, continuous integration, and version control for data-centric systems. As artificial intelligence and machine learning operations become central to software development, these emerging data engineering practices are reshaping how teams approach data quality, system validation, and production deployment. The session will demonstrate how differences in ETL pipeline feedback loops and data testing environments are driving new best practices for managing enterprise data systems, while offering insights into the future convergence of CI/CD, data governance, and MLOps practices.
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Founder
CL Kao
Recce
CL Kao is the CEO and founder of Recce, bringing CI/CD and change validations to data-centric systems. Prior to Recce, he developed GPU-cluster management tools that empowered the world’s largest semiconductor manufacturer to efficiently run their data science and AI workloads. Earlier in his career, he created a precursor to Git, aiding companies like Apple in managing large-scale codebases. He also co-founded g0v (gov-zero), a civic tech community dedicated to tackling social and democratic challenges through open data and open source collaboration.
Discover the data foundations powering today's AI breakthroughs. Join leading minds as we explore both cutting-edge AI and the infrastructure behind it. Reserve your spot at before tickets sell out!