RisingWavelabs / Awesome-Stream-Processing: A collection of demons showing how to use stream processing to solve world problems.

The term “processing of the river” can scare many people. We often hear statements such as:
- “River processing is very hard to learn and use!” π±
- “Stream processing is very expensive!” π±
- “I have not seen cases of business usage for river processing!” π±
However, we believe it is not true. β
Streaming data anywhere, made from operational databases, messaging queues, IOT devices, IOT devices, and many sources. People can leverage modern river processing technology to easily solve problems worldwide world, using SQL as a programming language.
In this reporteraly, we provide a series of exekutable demos that shows how stream processing can be used in practical situations:
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- Install Kafka, PostgreSQL, and RISINGWAVE, and driven small examples of your device.
- Join the Risingwave to other data platforms.
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Stream Stream Stream Processes β
Determine the basics of ingesting, processing, change, and offload data from streaming systems.
- Data arrangement and event processing (π Kafka user, you can start here! π‘)
- Directly data in question stored in event streaming systems (eg, kafka, redpanda).
- Continue to ingest and analyze data from streaming streaming systems.
- Loading Analytics near surgical databases (π Postgres users, you can start here! π‘)
- Offloaded activity-driven questions (eg, material views and triggers) from surgical databases (eg, mysql, postgresql).
- Do regularly and always.
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- A collection of plain, there are demons in one’s own showing how to process the stream can be used in specific cases of industry use.
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- A Collection of Comprehensive Demos Showing how to build a Pipeline processing stream for real-world applications.
We have used Risingwave As the default stream processing system to run these demos. We also think you have Kafka and / or Postgress installed and there is basic knowledge of how these systems use. These demons have been verified by Ubuntu and Mac.
All you need is a laptop π» – No cluster required.
Any comments are accepted. Happy streaming!
Join our Slack Community To include discussions of thousands of enthusiasts in the stream!
https://repository-images.githubusercontent.com/747444281/b5cec735-158f-4632-8669-9d4014ce3614
2025-03-06 12:04:00