2 repositorios
Awesome GitHub RepositoriesPluggable Stream Processors
Applies user-defined transformations to streaming data through a pluggable interface.
Distinct from Streaming Processors: Distinct from Streaming Processors: focuses on the pluggable interface for custom processors, not the processing engine itself.
Explore 2 awesome GitHub repositories matching data & databases · Pluggable Stream Processors. Refine with filters or upvote what's useful.
Awesome Pluggable Stream Processors GitHub Repositories
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- powerjob/powerjob
PowerJob/PowerJob
7,761Ver en GitHubEnterprise job scheduling middleware with distributed computing ability.
Ships a pluggable processor framework supporting Java, Shell, Python, and HTTP-based task logic.
Javacrondistributedjava - feast-dev/feast
feast-dev/feast
6,727Ver en GitHubFeast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma
Applies user-defined transformations to streaming data through a pluggable Stream Processor interface.
Pythonbig-datadata-engineeringdata-quality
