Dagster Guide

Dagster Guide is a self-paced educational app that teaches you how to build, run, and operate data pipelines with Dagster, the open-source data orchestration platform. Whether you are a data engineer new to orchestration or a platform lead evaluating tools, this app walks you from the first concept to production monitoring with example-driven lessons.

The course is organized into eight modules. You start with the core ideas that define Dagster: assets as first-class citizens, the dependency graph, and how code, metadata, and runs fit together. You then master the building blocks of every pipeline: software-defined assets, ops, and jobs, and how Dagster infers dependencies so data flows in the correct order every time.

You discover how to automate with schedules for time-based workloads and sensors for event-driven reactions to data conditions. Later modules cover resources and I/O managers, showing how to inject configured database and API clients so the same code runs across development and production. Partitioned assets and backfills let you manage large time-series datasets, and the monitoring and deployment modules show how to diagnose failed runs, review materializations, and ship to the cloud.

Throughout, you meet realistic examples: daily sales aggregation, event-driven file ingestion, dbt workflows, and machine learning models that depend on freshly produced tables. Each lesson pairs short paragraphs with key concepts, every module ends with a quiz, and a glossary of a hundred terms gives quick reference to the data community vocabulary.

Dagster is written in Python, and this guide teaches the idioms that make Dagster code productive. This is an unofficial educational application and is not affiliated with, endorsed by, or sponsored by Dagster Labs or the Dagster project. All content is original and educational; product names are used only to describe the platform they refer to. Open the first module and begin building data pipelines with Dagster today.