Substation

Substation is an open-source data transformation and workflow automation tool.

Description

Substation is designed for data engineers and operators to build, test, and deploy complex workflows that transform and process large datasets. It provides a flexible and scalable architecture for integrating various data sources, processing pipelines, and storing results in cloud-native storage services.

Features

• Supports multiple data sources, including Amazon S3, Amazon Kinesis, Amazon SQS, and more
• Provides a powerful workflow engine for building complex data transformation pipelines
• Offers robust testing and debugging capabilities to ensure workflow reliability
• Integrates with AWS services, such as AWS Lambda, API Gateway, and more
• Supports containerization using Docker and Kubernetes

Use Cases

Substation is ideal for:

• Automating data processing workflows for analytics, reporting, and machine learning applications
• Integrating multiple data sources into a single pipeline for real-time data processing
• Building scalable and reliable data transformation pipelines for large-scale data processing tasks
• Testing and validating complex data transformation workflows in a repeatable and automated manner

Getting Started

To get started with Substation, you can:

• Run Substation on Docker or your local machine using the provided instructions
• Explore the examples directory to see how Substation can be used for various use cases
• Read the documentation to learn more about Substation's features and configuration options

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