airscholar / SparkingFlow

This project demonstrates how to use Apache Airflow to submit jobs to Apache spark cluster in different programming laguages using Python, Scala and Java as an example.

Date Created 2023-11-04 (about a year ago)

Commits 2 (last one about a year ago)

Stargazers 30 (0 this week)

Watchers 2 (0 this week)

Forks 21

License unknown

Ranking

RepositoryStats indexes 589,134 repositories, of these airscholar/SparkingFlow is ranked #563,667 (4th percentile) for total stargazers, and #481,361 for total watchers. Github reports the primary language for this repository as Java, for repositories using this language it is ranked #27,675/28,373.

airscholar/SparkingFlow is also tagged with popular topics, for these it's ranked: java (#7,560/7719), docker (#6,088/6246), scala (#971/983), spark (#529/537), pyspark (#103/107)

Other Information

airscholar/SparkingFlow has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 2 closed issues.

Homepage URL: https://www.datamasterylab.com/home/course/apache-airflow-on-steriods-for-data-engineers/9

All Topics

java scala spark docker pyspark apache-airflow dataengineering

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2 commits on the default branch (main) since jan '22

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Languages

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

updated: 2024-11-24 @ 06:23pm, id: 714294968 / R_kgDOKpNGuA