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 (2 years ago)

Commits 17 (last one 23 days ago)

Stargazers 224 (1 this week)

Watchers 18 (0 this week)

Forks 38

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these adidas/lakehouse-engine is ranked #164,827 (72nd percentile) for total stargazers, and #122,593 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #28,995/116,326.

adidas/lakehouse-engine is also tagged with popular topics, for these it's ranked: framework (#854/1799), spark (#230/536), big-data (#187/363), data-engineering (#113/294)

Other Information

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

Github issues are enabled, there is 1 open issue and 1 closed issue.

There have been 11 releases, the latest one was published on 2024-10-30 (22 days ago) with the name 1.23.0.

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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Recent Commit History

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

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Languages

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

updated: 2024-11-20 @ 01:15pm, id: 564759057 / R_kgDOIamKEQ