pyspark-example-project
workshop-realtime-data-pipelines
| pyspark-example-project | workshop-realtime-data-pipelines | |
|---|---|---|
| 1 | 1 | |
| 1,370 | 3 | |
| - | - | |
| 0.0 | 2.3 | |
| over 1 year ago | 9 months ago | |
| Python | Python | |
| - | - |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
workshop-realtime-data-pipelines
What are some alternatives?
soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
numWorkshop - A python wrapper for the numworks workshop.
Apache-Spark-Guide - Apache Spark Guide
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
patterns-devkit - Data pipelines from re-usable components
Spooq
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
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
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
TypedPyspark - Type-annotate your spark dataframes and validate them