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A Pythonic Data Catalog powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your big data workloads.

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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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A Pythonic Data Catalog powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your big data workloads.

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  • Python 100.0%