A scalable, fast, ACID-compliant Data Catalog powered by Ray.

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  • Author: Ray Team
  • Requires: Python >=3.7
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Project description

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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  • Author: Ray Team
  • Requires: Python >=3.7
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2.0.0.post4

2.0.0.post3

2.0.0.post2

2.0.0.post1

2.0 yanked

Reason this release was yanked:

unstable

2.0.0b12 pre-release

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This version

0.1.20

0.1.19

0.1.18b19 pre-release

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0.1.7 yanked

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0.1.0

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