A library for interacting with data from Amazon S3 through PySpark. Read, write and transform data using a powerful and intuitive API with strong consistency and type checking, thanks to Pydantic. Compatible with Amazon MWAA running Airflow 2.7.2 and 2.8.1.
Project description
docker run --rm -it -d -e PYTHONPATH="/ng-data-pipelines-sdk" -v $pwd:/ng-data-pipelines-sdk pyspark-local
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ng_data_pipelines_sdk-1.17.0.tar.gz.
File metadata
- Download URL: ng_data_pipelines_sdk-1.17.0.tar.gz
- Upload date:
- Size: 17.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.9.19 Linux/5.15.154+
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5a4419975db2f0474593bdd0acdf41e420d41db050399b67a80619e6a361dc4f
|
|
| MD5 |
ee2fdb401aadf77ee746f2a4afcb53d1
|
|
| BLAKE2b-256 |
eb36a873c57e00c55b373964f5e472812d9dca6c4aadcc7617b0e8c5229bdf33
|
File details
Details for the file ng_data_pipelines_sdk-1.17.0-py3-none-any.whl.
File metadata
- Download URL: ng_data_pipelines_sdk-1.17.0-py3-none-any.whl
- Upload date:
- Size: 20.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.9.19 Linux/5.15.154+
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
64bfd2cba398844911236fd96c6b2722a558407920061169ef223fc782b569d9
|
|
| MD5 |
7db65cca106570deb306b05682d2604a
|
|
| BLAKE2b-256 |
47ef4511b0e64e0b94f665814003bbf4c91b99afc25e202cf98a41503ed5d4de
|
