Published on
    2020-11-05

    Good Data at Good Eggs: Data observability with the asset catalog

    What we’re aiming for with Dagster is a completely horizontal view of our data assets. Our analysts will be able to look up when a raw data ingest from Stitch occurred, when a dbt model ran, or when a plot was generated by a Jupyter notebook and posted in Slack, through a single portal — a single "pane of glass."
    Published on
    2020-10-01

    Good Data at Good Eggs

    Adopting Dagster was a catalyst for the transformation of our data platform team. We hope our experience is encouraging to other teams facing similar challenges and opportunities.
    Published on
    2020-08-11

    Dagster: The Data Orchestrator

    Dagster is a new type of workflow engine: a data orchestrator. Moving beyond just managing the ordering and physical execution of data computations, Dagster introduces a new primitive: a data-aware, typed, self-describing, logical orchestration graph.
    Published on
    2019-10-10

    Dagster 0.6.0: Impossible Princess

    With 0.6.0, Dagster comes “batteries-included” — but still with pluggable options — for everything you need to execute, monitor, schedule, deploy, and debug your data applications.
    Published on
    2019-07-08

    Introducing Dagster

    Today the team at Elementl is proud to announce an early release of Dagster, an open-source library for building systems like ETL processes and ML pipelines. We believe they are, in reality, a single class of software system. We call them data applications.