adidas / lakehouse-engine

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.

Date Created 2022-11-11 (about a year ago)

Commits 11 (last one 11 days ago)

Stargazers 188 (0 this week)

Watchers 18 (0 this week)

Forks 35

License apache-2.0

Ranking

RepositoryStats indexes 523,840 repositories, of these adidas/lakehouse-engine is ranked #173,604 (67th percentile) for total stargazers, and #119,320 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #29,953/100,813.

adidas/lakehouse-engine is also tagged with popular topics, for these it's ranked: framework (#890/1674), spark (#239/498), big-data (#198/342), data-engineering (#119/261)

Other Information

adidas/lakehouse-engine has 2 open pull requests on Github, 3 pull requests have been merged over the lifetime of the repository.

There have been 6 releases, the latest one was published on 2024-05-21 (10 days ago) with the name 1.20.0.

Homepage URL: https://adidas.github.io/lakehouse-engine-docs/

All Topics

spark big-data framework lakehouse databricks delta-lake data-quality data-engineering great-expectations configuration-driven

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11 commits on the default branch (master) since jan '22

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The primary language is Python but there's also others...

updated: 2024-05-25 @ 04:23am, id: 564759057 / R_kgDOIamKEQ