Prefect Workflow Guide

Prefect Workflow Guide is a practical course in workflow orchestration with Prefect, the modern open-source Python tool for building, scheduling, and observing data pipelines. Starting from first principles, the course explains why hand-rolled scripts and cron fail and how an orchestrator adds state, retries, and full visibility to your data workflows. You will master flows and tasks, parameters and returns, subflows for composition, concurrency with thread and process runners, fan-out and map patterns, and execution models tailored for I/O-bound and CPU-bound workloads. The course covers bounded retries with exponential backoff, per-run timeouts, data-quality gates that catch bad records early, and result caching that reuses expensive computations safely across runs. Scheduling compares interval and cron schedules, time zones, overlapping run policies, server outage recovery, and attaching schedules to deployments. You will take flows into production with deployments, work pools, workers, and infrastructure choices including local, Docker, or Kubernetes. Real-world scenarios walk through nightly analytics pipelines, sensor-driven ingestion, and ML training with hyperparameter sweeps and parallel trials. Observability covers dashboards, run history, log correlation, and notification policies for Slack, email, and PagerDuty alerts. This is an unofficial educational application and is not affiliated with, endorsed by, or sponsored by Prefect Technologies Inc or the Prefect project.

This application is an unofficial, independent, third-party educational application.
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The content provided in this application is independently prepared and may not always reflect the latest official information. Users should refer to the official resources of the respective project or organization for the most current documentation, announcements, technical information, licensing details, and official support.
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