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An Advanced Python ETL Framework for IBM Planning Analytics. A high-level library built on the foundations of TM1py and Bedrock. It streamlines complex ETL workflows with pre-configured logic while maintaining the full extensibility of Python.
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332
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Coordinate string parsing fix with pandas dtype using metadata
5487a9cView on GitHubcoordinate str cast fix for intercube bedrock functions
555ef60View on GitHubexit condition fix for validation functions in case of nonexistent copied schema parts, dimension copy edge case fix
f454055View on GitHubMerge pull request #57 from KnowledgeSeed/feature/cube
a1bcf42View on GitHubMerge pull request #56 from KnowledgeSeed/feature/cube
636bd9aView on GitHubMerge pull request #55 from KnowledgeSeed/feature/sql_enhancement
67dda0aView on GitHubMerge pull request #54 from KnowledgeSeed/feature/cube
d706c17View on GitHubfinal preparations for release: tests added, demos added, demo data added for context metadata, accidental debug prints removed, logging of cube builder enhanced, fixes and parameter update for cube builder
f46224dView on GitHubimportant query dtype edge case fix for numeric looking string type values. parameter renaming done, passable kwargs parameter added for extractor to set default return value type (if needed)
af6fa25View on GitHubfix for bedrock functions after refactored metadata handling
86f380fView on GitHub