vim89 / datapipelines-essentials-python

Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame transformations

Date Created 2019-11-16 (5 years ago)

Commits 15 (last one about a year ago)

Stargazers 54 (0 this week)

Watchers 4 (0 this week)

Forks 38

License apache-2.0

Ranking

RepositoryStats indexes 640,560 repositories, of these vim89/datapipelines-essentials-python is ranked #470,117 (27th percentile) for total stargazers, and #368,371 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #92,106/131,281.

vim89/datapipelines-essentials-python is also tagged with popular topics, for these it's ranked: python (#18,797/23610), python3 (#3,339/4344), xml (#499/590), spark (#471/559), big-data (#327/372), etl (#234/288), hadoop (#161/188), pyspark (#86/118), apache-spark (#93/115)

Other Information

vim89/datapipelines-essentials-python has Github issues enabled, there is 1 open issue and 0 closed issues.

All Topics

etl xml spark hadoop python pyspark python3 big-data datalake spark-sql hadoop-hdfs xml-parsing apache-spark etl-pipeline data-pipeline etl-framework etl-components hadoop-mapreduce

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

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

updated: 2025-04-14 @ 01:41am, id: 222109927 / R_kgDODT0g5w