workshop-realtime-data-pipelines
pyspark-example-project
| workshop-realtime-data-pipelines | pyspark-example-project | |
|---|---|---|
| 1 | 1 | |
| 3 | 1,370 | |
| - | - | |
| 2.3 | 0.0 | |
| 10 months ago | over 1 year ago | |
| Python | Python | |
| - | - |
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workshop-realtime-data-pipelines
pyspark-example-project
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Learning Pyspark for a new role
https://github.com/AlexIoannides/pyspark-example-project You can use this as an example to organize your project. I have referred to this in the past.
What are some alternatives?
numWorkshop - A python wrapper for the numworks workshop.
soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
Apache-Spark-Guide - Apache Spark Guide
Spooq
patterns-devkit - Data pipelines from re-usable components
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
TypedPyspark - Type-annotate your spark dataframes and validate them