DBT: Certification Data Cleaned
File location: s3://trase-storage/ecuador/logistics/certification/out/certification_data_cleaned.csv
DBT model name: certification_data_cleaned
Explore on Metabase: Full table; summary statistics
Explore dependencies/lineage: link
Description
This model was auto-generated based off .yml 'lineage' files in S3. The DBT model just raises an error; the actual script that created the data lives elsewhere. It was last run by Harry Biddle.
Details
| Column | Type | Description |
|---|---|---|
certification |
VARCHAR |
|
CERT_NUM |
VARCHAR |
|
trader_label |
VARCHAR |
|
COMPANY |
VARCHAR |
|
ASSOCIATED_NAMES |
VARCHAR |
|
type |
VARCHAR |
|
CERT_EXPIRY |
VARCHAR |
|
CERT_EXPIRY_YR |
VARCHAR |
|
CERT_START |
VARCHAR |
|
CERT_START_YR |
VARCHAR |
|
SPECIES |
VARCHAR |
|
LAT |
VARCHAR |
|
LONG |
VARCHAR |
|
COORD_NOTES |
VARCHAR |
|
CERT_BAP |
VARCHAR |
|
BAP_STAR_DESIGNATION |
VARCHAR |
|
CERT_BAP_NOTES |
VARCHAR |
|
CERT_ASC_NOTES |
VARCHAR |
|
CERT_ASC_TYPE |
VARCHAR |
|
pond |
VARCHAR |
|
POND_ID_MATCHING_NOTES |
VARCHAR |
|
trader |
VARCHAR |
No data tests defined 🧐
import pandas as pd
def model(dbt, cursor):
dbt.source("trase-storage-raw", "certification_data_clean_semicolon")
raise NotImplementedError()
return pd.DataFrame({"hello": ["world"]})
-
Dbt path:
memory.main.certification_data_cleaned -
Containing yaml link: trase/data_pipeline/models/ecuador/logistics/certification/out/_schema.yml
-
Model file: trase/data_pipeline/models/ecuador/logistics/certification/out/certification_data_cleaned.py
-
Tags:
mock_model,certification,ecuador,logistics,out