Dagster is a cloud-native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.
Last Releases
- 1.10.21 (core) / 0.26.21 (libraries)Source: https://github.com/dagster-io/dagster/releases/tag/1.10.21
- 1.10.20 (core) / 0.26.20 (libraries)Source: https://github.com/dagster-io/dagster/releases/tag/1.10.20
- 1.10.19 (core) / 0.26.19 (libraries)Source: https://github.com/dagster-io/dagster/releases/tag/1.10.19
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Solving Common Problems When Installing Dagster Locally
Introduction For data engineers, local installations of tools like Dagster provide a sandboxed environment for testing and building workflows without relying on production systems. However, setting up Dagster on a local machine isn’t always straightforward; many users encounter dependency conflicts, database configuration challenges, and environment-related issues. This guide breaks down common installation problems and offers…
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Local Installation of Dagster: A Guide for Data Engineers
Introduction: Why Local Installations of Dagster Matter Installing Dagster locally can greatly streamline development, testing, and prototyping workflows. As an open-source data orchestrator, Dagster enables data engineers and developers to build, schedule, and monitor complex ETL processes. Running Dagster locally lets you test pipeline logic without the network constraints of a remote setup, making it…
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Dagster: A Modern Data Orchestration Tool
Introduction to Dagster In recent years, data engineering has evolved rapidly, creating a need for sophisticated orchestration tools that support complex, dynamic workflows. Dagster is a data orchestration platform designed specifically to meet these challenges, enabling data engineers and analytics teams to streamline their workflows, especially in ETL (Extract, Transform, Load) processes. Developed by Elementl,…
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Unpacking Dagster: A Next-Gen Data Orchestration Platform
Dagster is a robust, open-source orchestration platform designed to help teams manage and optimize complex data pipelines. Unlike traditional tools that primarily focus on moving data from one point to another, Dagster brings a comprehensive approach to the entire data development lifecycle—enabling teams to manage, test, and monitor pipelines with a strong focus on data…