AWS Kinesis is a data processing service that allows you to stream data from applications in real-time to provide insights into the behavior of your customers or users. Kinesis Real-Time allows you to process large amounts of data in real-time, making it a great choice for events that need to be processed quickly, like live chat or chatbot activity.
When data is ingested into Kinesis, it is processed in a distributed system. This means that data is sent to processing nodes throughout the AWS cloud, and the processing nodes work together to process the data.
Once the data is processed, it is sent back to the originating stream.
For streaming data, AWS recommends the use of the Kinesis Data Streams Library. This library allows you to easily process and stream data from applications.
PRO TIP: AWS Kinesis is a cloud-based data streaming service that enables you to capture and process data in real time. It is a managed service that is designed to be highly scalable and fault-tolerant.
However, Kinesis is not a replacement for a traditional data warehouse. It is best used in conjunction with other Amazon services such as Amazon S3 and Amazon DynamoDB.
The library provides a set of APIs that make it easy to create and manage data streams. Additionally, the library includes a data ingestion engine that can stream data from sources such as HDFS or S3.
When data is streamed, it is processed in real-time and sent to the processing nodes. Once the data is processed, it is sent back to the originating stream.
This means that the data is always available for streaming.
The Kinesis Real-Time platform is a great choice for events that need to be processed quickly, like live chat or chatbot activity. By using the Kinesis Real-Time platform, you can stream data in real-time and monitor the behavior of your customers or users.
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