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Pyspark Boilerplate
PySpark boilerplate for production-ready Spark job structure and best practices
This repository provides a PySpark boilerplate that demonstrates project layout, job entrypoints, configuration patterns, and logging conventions for Spark jobs. It is built with Python and intended for batch ETL, data processing, and analytics workloads on Spark clusters.
Features
Job Template Structure
Configuration Management
Logging And Tracing
Testing Scaffolding
ETL Pipeline Patterns
Pricing
Free plan available
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Developer
👨🏻💻 Ekampf Github Stars
395
Last Commit Date
2024-01-21 (fetched 4 months ago)
Repo URL
ekampf/PySpark-Boilerplate Technologies
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