« Kinesis » : différence entre les versions

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* can consume process and buffer data in real-time
* can consume process and buffer data in real-time
* allows production of real-time metrics and reporting
* allows production of real-time metrics and reporting
= Kinesis Data Stream =
Move data from sources to a destination while having analytics, monitoring alerts, and connections to other services.

Version du 15 mai 2024 à 15:33

Description

Allows to gather data from different sources using data stream or fire hoses, and get that data to a destination in the expected format.
Allows to collect, process and analyze data in near real-time at scale.
Kinesis data streams are used in places where an unbounded stream of data needs to worked on in real time.
And Kinesis Firehose delivery streams are used when data needs to be delivered to a storage destination, such as S3.

Common use cases

  • pattern detection
  • click stream analysis (who is clicking on what and when)
  • log processing for machine learning
  • anomyly detection in IoT devices

Benefits

  • fully managed service (focus on data and don't worry about the underlying system)
  • can handle large amount of data
  • can consume process and buffer data in real-time
  • allows production of real-time metrics and reporting

Kinesis Data Stream

Move data from sources to a destination while having analytics, monitoring alerts, and connections to other services.