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Source channel @githubtrending · Post #15397 · Jan 7

#java#cdc#chunjun#dataops#datax#etl#flink#flink_streaming#java TIS is an easy enterprise data integration tool using batch (DataX) and streaming (Flink-CDC, Chunjun) with a simple interface to sync data end-to-end without complex scripts. Its v5.0.0 adds Pipeline AI Agent, letting you describe needs in natural language for auto-pipeline creation, smart plugin installs, and low-cost AI like DeepSeek. Install quickly via single-node, Docker, or K8S. This saves you time, cuts errors, simplifies ETL tasks, and boosts fun, efficient data pipelines for real-time analytics. https://github.com/datavane/tis

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djangoproject

@djangoproject · Post #519 · 12/10/2017, 06:14 PM

https://blog.wallaroolabs.com/2017/12/stateful-multi-stream-processing-in-python-with-wallaroo/ #Wallaroo is a high-performance, open-source framework for building distributed stateful applications. In an earlier post, we looked at how Wallaroo scales #distributed_state. In this post, we’re going to see how you can use Wallaroo to implement multiple data processing #tasks performed over the same shared #state. We’ll be implementing an application we’ll call “Market Spread” that keeps track of the latest pricing information by stock while simultaneously using that state to determine whether stock order #requests should be rejected. #pipeline