cerberuslib is a robust ETL library designed for the NUDA team at Unimed SC.
This library provides essential utilities for data extraction, transformation, and loading processes,
streamlining workflows and enhancing data management capabilities.
Raw data
{
"_id": null,
"home_page": null,
"name": "cerberus-etl",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "python, ETL, data pipeline, data stream, NUDA",
"author": "Gabriel Deglmann Kasten",
"author_email": "gabriel.kasten@unimedsc.coop.br",
"download_url": "https://files.pythonhosted.org/packages/70/3e/8bc899e55678f5b30a1dda46ad1b647dea450158d86639e7ff5396a1356e/cerberus_etl-0.0.2.tar.gz",
"platform": null,
"description": "cerberuslib is a robust ETL library designed for the NUDA team at Unimed SC. \nThis library provides essential utilities for data extraction, transformation, and loading processes, \nstreamlining workflows and enhancing data management capabilities.\n",
"bugtrack_url": null,
"license": null,
"summary": "A utility ETL library for internal development at NUDA",
"version": "0.0.2",
"project_urls": null,
"split_keywords": [
"python",
" etl",
" data pipeline",
" data stream",
" nuda"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b0751a1c1c7aa65def10db5b35bae9b33a10ab66beb6419f64d2eb0dd05f0621",
"md5": "52004b4cc82c251a9cbaa0b7716def71",
"sha256": "d6fb0fb7dcc04de30ba93cdae0959c701c9f0532a9f5fa70749305bee8ad073f"
},
"downloads": -1,
"filename": "cerberus_etl-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "52004b4cc82c251a9cbaa0b7716def71",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 1790,
"upload_time": "2024-10-16T04:28:21",
"upload_time_iso_8601": "2024-10-16T04:28:21.559708Z",
"url": "https://files.pythonhosted.org/packages/b0/75/1a1c1c7aa65def10db5b35bae9b33a10ab66beb6419f64d2eb0dd05f0621/cerberus_etl-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "703e8bc899e55678f5b30a1dda46ad1b647dea450158d86639e7ff5396a1356e",
"md5": "e6b572aba0d9f2315f7e62d6315cbef0",
"sha256": "473d8fb8b2cf666b464eae5d501268fdcd5253a6784fbb1f1abefd2d7fde22dd"
},
"downloads": -1,
"filename": "cerberus_etl-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "e6b572aba0d9f2315f7e62d6315cbef0",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 1593,
"upload_time": "2024-10-16T04:28:22",
"upload_time_iso_8601": "2024-10-16T04:28:22.802463Z",
"url": "https://files.pythonhosted.org/packages/70/3e/8bc899e55678f5b30a1dda46ad1b647dea450158d86639e7ff5396a1356e/cerberus_etl-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-10-16 04:28:22",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "cerberus-etl"
}
JSON