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 2 months ago)

Stargazers 228 (0 this week)

Watchers 18 (0 this week)

Forks 38

License apache-2.0

Ranking

RepositoryStats indexes 598,732 repositories, of these adidas/lakehouse-engine is ranked #165,301 (72nd percentile) for total stargazers, and #123,550 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #29,271/120,199.

adidas/lakehouse-engine is also tagged with popular topics, for these it's ranked: framework (#860/1828), spark (#228/541), big-data (#185/363), data-engineering (#117/306)

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 (2 months 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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

updated: 2024-12-22 @ 03:21pm, id: 564759057 / R_kgDOIamKEQ