34 Matching Annotations
  1. Last 7 days
  2. 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]]

  3. Oct 2020
  4. Sep 2020
  5. Aug 2020
  6. Jul 2020
    1. Ruby has some really nice libraries for working with linked data. These libraries allow you to work with the data in both a graph and resource-oriented fashion, allowing a developer to use the techniques that best suit his or her use cases and skills.
    2. Another Ruby gem, Spira, allows graph data to be used as model objects
  7. Jun 2020
  8. May 2020
  9. Mar 2020
    1. Not only are public transport datasets useful for benchmarking route planning systems, they are also highly useful for benchmarking geospatial [13, 14] and temporal [15, 16] RDF systems due to the intrinsic geospatial and temporal properties of public transport datasets. While synthetic dataset generators already exist in the geospatial and temporal domain [17, 18], no systems exist yet that focus on realism, and specifically look into the generation of public transport datasets. As such, the main topic that we address in this work, is solving the need for realistic public transport datasets with geospatial and temporal characteristics, so that they can be used to benchmark RDF data management and route planning systems. More specifically, we introduce a mimicking algorithm for generating realistic public transport data, which is the main contribution of this work.
  10. Dec 2019
    1. arborescence

      First sighting of word arborescence. I thought they were just doing that for fun, as a play on "tree", but I guess it's a real graph theory concept (https://en.wikipedia.org/wiki/Arborescence_(graph_theory)).

  11. Sep 2019
  12. May 2019
  13. Dec 2018
  14. Feb 2017