Stream Processing
CommunityReal-time data stream analysis.
Data & Analytics#event-driven#stream processing#ksqlDB#real-time analytics#kafka streams#apache flink
Authordoanchienthangdev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of processing and analyzing continuous streams of data in real-time, enabling immediate insights and automated responses.
Core Features & Use Cases
- Real-time Data Transformation: Process, filter, and enrich data as it arrives.
- Stateful Computations: Perform aggregations, joins, and complex event processing over time windows.
- Use Case: Monitor a live stream of sensor data to detect anomalies and trigger alerts within milliseconds of an event occurring.
Quick Start
Use the stream processing skill to create a Kafka Streams topology that counts orders per customer.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Stream Processing Download link: https://github.com/doanchienthangdev/omgkit/archive/main.zip#stream-processing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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