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AWS Kinesis Data Streams

AWS Kinesis Data Streams is a scalable and durable real-time data streaming service that enables you to ingest, buffer, and process large volumes of data records from multiple sources. It allows applications to consume and analyze data in real-time, making it ideal for use cases like log and event data collection, real-time analytics, and data processing pipelines. The service automatically handles data partitioning, replication, and fault tolerance to ensure high availability and performance.

Also known as: Amazon Kinesis Data Streams, Kinesis Streams, AWS Kinesis, Kinesis, KDS
🧊Why learn AWS Kinesis Data Streams?

Developers should use AWS Kinesis Data Streams when building applications that require real-time data ingestion and processing, such as monitoring systems, IoT data streams, or clickstream analytics. It is particularly valuable in scenarios where low-latency data processing is critical, as it enables immediate insights and actions based on incoming data. This service is essential for modern data-driven architectures that need to handle high-throughput, real-time data flows in the cloud.

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