deltacat


Namedeltacat JSON
Version 1.1.27 PyPI version JSON
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home_pagehttps://github.com/ray-project/deltacat
SummaryA scalable, fast, ACID-compliant Data Catalog powered by Ray.
upload_time2024-11-05 01:00:02
maintainerNone
docs_urlNone
authorRay Team
requires_python>=3.9
licenseNone
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # DeltaCAT

DeltaCAT is a Pythonic Data Catalog powered by Ray.

Its data storage model allows you to define and manage fast, scalable,
ACID-compliant data catalogs through git-like stage/commit APIs, and has been
used to successfully host exabyte-scale enterprise data lakes.

DeltaCAT uses the Ray distributed compute framework together with Apache Arrow
for common table management tasks, including petabyte-scale
change-data-capture, data consistency checks, and table repair.

## Getting Started

### Install

```
pip install deltacat
```

### Running Tests

```
pip3 install virtualenv
virtualenv test_env
source test_env/bin/activate
pip3 install -r requirements.txt

pytest
```



            

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    "description": "# DeltaCAT\n\nDeltaCAT is a Pythonic Data Catalog powered by Ray.\n\nIts data storage model allows you to define and manage fast, scalable,\nACID-compliant data catalogs through git-like stage/commit APIs, and has been\nused to successfully host exabyte-scale enterprise data lakes.\n\nDeltaCAT uses the Ray distributed compute framework together with Apache Arrow\nfor common table management tasks, including petabyte-scale\nchange-data-capture, data consistency checks, and table repair.\n\n## Getting Started\n\n### Install\n\n```\npip install deltacat\n```\n\n### Running Tests\n\n```\npip3 install virtualenv\nvirtualenv test_env\nsource test_env/bin/activate\npip3 install -r requirements.txt\n\npytest\n```\n\n\n",
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