5 Matching Annotations
  1. Apr 2022
    1. In its simplest sense, automation is about each individual part performing the same repetitive steps over and over again
  2. Mar 2022
    1. leverage legacy IT assets, while simultaneously preparing their tech stack for the future? What will allow them to capitalize on industry momentum and let their teams achieve more? The answer is orchestration.
  3. Nov 2020
    1. Maybe your dbt models depend on source data tables that are populated by Stitch ingest, or by heavy transform jobs running in Spark. Maybe the tables your models build are depended on by analysts building reports in Mode, or ML engineers running experiments using Jupyter notebooks. Whether you’re a full-stack practitioner or a specialized platform team, you’ve probably felt the pain of trying to track dependencies across technologies and concerns. You need an orchestrator.Dagster lets you embed dbt into a wider orchestration graph.

      It can be common for [[data models]] to rely on other sources - where something like [[Dagster]] fits in - is allowing your dbt fit into a wider [[orchestration graph]]

  4. Nov 2019