real-time-streaming
OfficialMaster real-time data streams end-to-end.
AuthorAbsolutelySkilled
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Streaming data architectures are complex and brittle without a unified guide. This skill provides production-grade, end-to-end guidance for building, deploying, and maintaining real-time data pipelines across ingestion, processing, and materialization, covering Kafka, Flink, and Debezium patterns.
Core Features & Use Cases
- End-to-end streaming guidance across the major stack (Kafka, Flink, Debezium) with best practices for reliability and throughput.
- Patterns for exactly-once processing, backpressure handling, state management, and fault recovery in real-time pipelines.
- Real-world scenarios including CDC data bridges, windowed aggregations, stream-table joins, and event-sourced architectures.
Quick Start
Configure a Kafka topic, implement a Flink windowed aggregation, and enable Debezium CDC to start streaming in production.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: real-time-streaming Download link: https://github.com/AbsolutelySkilled/AbsolutelySkilled/archive/main.zip#real-time-streaming Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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