AWS Kinesis Data Streams is a service that allows you to build applications that process real-time data streams at scale. It can collect and process large streams of data records in real-time, making it ideal for use cases such as real-time analytics, log and event data processing, and more.
With AWS Kinesis Data Streams, you can ingest data from various sources such as website clickstreams, IoT devices, social media feeds, and more. The data is then divided into small records, which are stored in shards within a data stream. Each shard has a specified capacity for data input and output rates.
To start using AWS Kinesis Data Streams, you need to create a data stream, define the number of shards based on your data volume, and begin ingesting data. You can then use Kinesis Data Analytics or Kinesis Data Firehose to process and analyze the data in real-time.
Some common use cases for AWS Kinesis Data Streams include:
AWS Kinesis Data Streams is a powerful service for real-time data streaming that can help you build scalable, real-time applications. By leveraging its features and integration capabilities, you can process and analyze data streams in a cost-effective and efficient manner.