dbt-ml-preprocessing
dbt-coves
dbt-ml-preprocessing | dbt-coves | |
---|---|---|
2 | 1 | |
175 | 208 | |
0.0% | 3.4% | |
3.7 | 9.2 | |
10 months ago | 2 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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dbt-ml-preprocessing
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.
What are some alternatives?
CueObserve - Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
airflow-dbt - Apache Airflow integration for dbt
magic-the-gathering - A complete pipeline to pull data from Scryfall's "Magic: The Gathering"-API, via Prefect orchestration and dbt transformation.
dbt-snowflake-monitoring - A dbt package from SELECT to help you monitor Snowflake performance and costs
f1-data-pipeline - F1 Data Pipeline
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.
jupysql - Better SQL in Jupyter. 📊
sqlglot - Python SQL Parser and Transpiler
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.