AWS Kinesis is a managed service provided by Amazon Web Services (AWS) for real-time processing of streaming data at scale. It helps developers and companies collect, process, and analyze large streams of data in real-time. AWS Kinesis is particularly useful in applications where data ingestion, processing, and analysis need to happen continuously and with low latency.
Key components of AWS Kinesis include:
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Kinesis Data Streams: This component allows you to ingest real-time data streams at a massive scale. It stores data in shards, which are units of capacity that can handle a specific amount of data throughput.
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Kinesis Data Firehose: It is used to load streaming data into AWS data stores and analytics services, such as Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk, without writing custom code.
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Kinesis Data Analytics: This component allows you to process and analyze streaming data using SQL queries or Apache Flink. It enables real-time analytics over data streams from sources such as Kinesis Data Streams or Kinesis Data Firehose.
AWS Kinesis is designed to handle real-time data ingestion and processing scenarios, making it suitable for applications like real-time analytics, log and event data processing, and IoT data management. It integrates well with other AWS services, providing a scalable and reliable solution for streaming data workflows.
