Event streaming system
An event streaming system continuously captures, transports, stores, and processes streams of event records as they occur.
Kafka Streams in Action, Second Edition
An event-streaming platform is software infrastructure that captures, transfers, stores, and makes event data available for processing.
- How it is used
- Coordinates capture, durable movement, storage, and processing of continuous business events for real-time decisions.
- How deep it goes
- Defines the platform and its Kafka components, stopping at high-level client, broker, storage, and processing roles.
- Examples
- Illustrates coupon clickstream, retail sales, credit-card masking, customer-points emails, and dashboard exports.
- What you can do after
- Apply it via Kafka to publish, store, process, and integrate event data across independent applications.
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MongoDB 8.0 in Action, Third Edition
An event streaming platform is a distributed system that persistently transports and stores high-volume event streams for real-time or later processing.
- How it is used
- Decouples applications and microservices by transporting, retaining, and distributing events for independent processing.
- How deep it goes
- Defines topics, persistent logs, ordering, and consumer pacing, but stops short of detailed platform configuration or stream-processing implementation.
- Examples
- Uses ad-view counting, fraud detection, sensor analytics, equipment-failure prediction, and clickstream personalization.
- What you can do after
- Evaluate architectures that need decoupled communication, durable event replay, ordered processing, or independent consumer scaling.
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Related concepts
- Apache Kafkaincludes · Apache Kafka is a distributed event-streaming platform for publishing, storing, processing, and consuming streams of records.
- streamingalternative to · Streaming is the incremental handling of a sequence of data items, including their processing, transfer, or consumption as they become available.
- Kafka Connectused by · Kafka Connect is a framework for reliably transferring data between Apache Kafka and external systems through configurable source and sink connectors.
- migrationused by · A migration is a process of transferring or transforming data, software, or system state from a source form or environment to a target form or environment.
- stream processorused by · A stream processor is a continuously operating computation or component that transforms, filters, combines, generates, or routes data in a stream.
- pipelineuses · A pipeline is an ordered or coordinated sequence of connected processing stages or tasks that passes data, work, or results toward an outcome.
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