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Author:
DataCoolie Team
Summary:
Metadata-driven ETL framework that unifies engines, stays cloud-agnostic, and is currently batch-first with a roadmap to micro-batch and streaming.
Latest version:
0.1.9
Required dependencies:
python-dateutil
|
tzdata
Optional dependencies:
azure-identity
|
azure-keyvault-secrets
|
azure-storage-file-datalake
|
boto3
|
connectorx
|
databricks-sdk
|
delta-spark
|
deltalake
|
fastexcel
|
httpx
|
openpyxl
|
oracledb
|
polars
|
polars-hash
|
pyiceberg
|
pyodbc
|
pyspark
|
pyyaml
|
sqlalchemy
|
sqlglot
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