Amazon Kinesis Data Streams
Amazon Kinesis Data Streams is a serverless service for real-time ingestion of terabytes of data from applications, streams, and IoT sensors. It provides automatic provisioning and scaling to handle highly variable data throughput.
Core Benefits​
- Real-Time Processing: Ingests data with sub-second latency, making it available for immediate processing and analysis.
- Massive Scalability: Handles high-volume data streams from thousands of sources and automatically scales capacity.
- Serverless Operation: Eliminates infrastructure management with on-demand capacity mode.
Role in Data Pipeline​
Data Ingestion: Serves as the real-time entry point for streaming data, capturing data from sources like application logs, mobile devices, and IoT sensors before it is processed or stored.
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- Data ingestion involves moving data from source systems into your chosen storage solution.
- Use real-time ingestion when the data is needed immediately. Use batch ingestion when some latency is tolerable.
Use Cases​
- Real-Time Analytics: Capturing website clickstream data to analyze user behavior as it happens.
- Log and Event Data Collection: Ingesting log data from thousands of servers for real-time monitoring and alerting.
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Kinesis Data Streams is the foundation for real-time data ingestion pipelines, enabling immediate reaction to streaming data at massive scale.
Use case: Ideal for applications that require immediate data processing, such as real-time analytics, log aggregation, and IoT data capture.