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The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.

Home Page: https://adidas.github.io/lakehouse-engine-docs/

License: Apache License 2.0

Makefile 1.18% Dockerfile 0.18% Jinja 0.48% Python 97.19% CSS 0.97%
big-data configuration-driven data-engineering data-quality databricks delta-lake framework great-expectations lakehouse spark

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lakehouse-engine's Issues

[FEATURE] Support for Azure data lake storage

Good morning,

You mentioned in the readme that most of the code was developed with AWS in mind, how complex would it be to add support for reading/writing to Azure Data Lake instead of S3?

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