Patek
PySpark-Boilerplate
| Patek | PySpark-Boilerplate | |
|---|---|---|
| 1 | 1 | |
| 0 | 391 | |
| - | - | |
| 10.0 | 2.5 | |
| over 1 year ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | - |
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Patek
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Implement dynamic merge in PySpark.
I developed a function to do this! Check it out: https://github.com/kharigardner/Patek
PySpark-Boilerplate
What are some alternatives?
Apache-Spark-Guide - Apache Spark Guide
ibis - the portable Python dataframe library
Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data - Mobile robot data were analyzed with Apache-Spark to extract five different statistical result such as travel time, waiting time, average speed, occupancy and density were produced.
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
covid-19-data-engineering-pipeline - A Covid-19 data pipeline on AWS featuring PySpark/Glue, Docker, Great Expectations, Airflow, and Redshift, templated in CloudFormation and CDK, deployable via Github Actions.
cookiecutter-django - Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
dataproc-templates - Dataproc templates and pipelines for solving simple in-cloud data tasks
etl-markup-toolkit - ETL Markup Toolkit is a spark-native tool for expressing ETL transformations as configuration
quinn - pyspark methods to enhance developer productivity 📣 👯 🎉
soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes