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.
When dealing with hundreds of library files it becomes tedious to mark their contents as assets. Using python to automate the process is a perfect fit
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