dbt-coves
magic-the-gathering
dbt-coves | magic-the-gathering | |
---|---|---|
1 | 1 | |
210 | 36 | |
4.3% | - | |
9.2 | 7.1 | |
about 21 hours ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dbt-coves
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Is there something wrong with me, I hate dbt, what am I missing ?
This just feels like you aren’t using the plentiful tools to make those “mind-numbingly slow” dev steps faster. For ex., using dbt-coves to generate the staging models with casting to types in a couple clicks. And pulling directly from Fivetran tables is just poor practice, with the additional steps needed to do it “right” being inconsequential at best.
magic-the-gathering
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Magic: The Gathering dashboard | First complete DE project ever | Feedback welcome
Project link: GitHub repo for Magic: The Gathering
What are some alternatives?
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
mtgjson - MTGJSON build scripts for Magic: the Gathering
dbt-ml-preprocessing - A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.
steam-data-engineering - A data engineering project with Airflow, dbt, Terrafrom, GCP and much more!
f1-data-pipeline - F1 Data Pipeline
weather_data_pipeline - This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard
datavault4dbt - Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Tables.
data-engineering-zoomcamp - Free Data Engineering course!