beam-dataflow-python
OfficialMaster Dataflow Python pipelines.
Software Engineering#python#streaming#batch processing#bigquery#dataflow#pipeline optimization#apache beam
Authorway-platform
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides comprehensive guidance and best practices for building, optimizing, and deploying robust Apache Beam Python pipelines on Google Cloud Dataflow.
Core Features & Use Cases
- Best Practices: Covers unified batch/streaming, Protobuf integration, advanced windowing, and stateful processing.
- Optimization: Details on Runner v2, Streaming Engine, Docker/Flex Templates, and cost-saving strategies.
- Testing & Deployment: Guidance on modern testing methodologies and CI/CD integration.
- Use Case: Use this Skill when developing a new Dataflow pipeline to ensure it adheres to the latest architectural patterns, performance optimizations, and deployment standards.
Quick Start
Follow the Dataflow Python best practices outlined in the documentation to build a high-performance pipeline.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: beam-dataflow-python Download link: https://github.com/way-platform/skills/archive/main.zip#beam-dataflow-python Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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