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 (4 years ago)

Commits 15 (last one about a year ago)

Stargazers 53 (0 this week)

Watchers 6 (0 this week)

Forks 35

License apache-2.0

Ranking

RepositoryStats indexes 535,551 repositories, of these vim89/datapipelines-essentials-python is ranked #415,978 (22nd percentile) for total stargazers, and #285,644 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #77,315/103,734.

vim89/datapipelines-essentials-python is also tagged with popular topics, for these it's ranked: python (#16,958/20472), python3 (#2,994/3816), xml (#458/523), spark (#438/506), big-data (#309/344), etl (#210/237), hadoop (#154/172)

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: 2024-04-18 @ 04:13am, id: 222109927 / R_kgDODT0g5w