AWS Kinesis Stream

Real-time data streaming for scalable pipelines

AWS Kinesis StreamView Documentation
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Background

AWS Kinesis Streams is a real-time data streaming service that enables organizations to build scalable and high-throughput data pipelines. In a streaming ETL (Extract, Transform, Load) workflow, Kinesis Streams serves as the backbone for ingesting and processing large volumes of real-time data. Its ability to integrate with various AWS services and custom applications makes it a versatile tool for dynamic and responsive data systems.

Use Cases

  • Real-Time Data Capture: Ingest real-time data from sources like IoT sensors, logs, or application events into the ETL pipeline.
  • Custom Data Transformation: Use AWS Lambda or other processing applications to transform data within the stream before loading it into target systems.
  • Event-Driven Workflows: Trigger ETL processes based on specific events or patterns detected in the streaming data.
  • Multi-Destination Data Delivery: Stream transformed data simultaneously to multiple destinations, such as data lakes, analytics platforms, or dashboards.

Popular Integrations

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