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2min chapter
Practical workflow orchestration
Practical AI: Machine Learning, Data Science, LLM
Navigating Workflow Reliability and Orchestration Challenges
This chapter explores the challenges of monitoring data provider reliability and the impact of parsing errors on data workflows. It emphasizes the importance of orchestration tools like Prefect for managing workflows, integrating services, and converting Python scripts into efficient workflows while addressing local development complexities.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode