AWS SAA-26: Kinesis

Amazon Kinesis is a family of real-time data streaming and processing services provided by Amazon Web Services (AWS).
These services enable you to ingest, process, analyse, and respond to streaming data at scale.
Kinesis is designed to handle large volumes of real-time data from sources such as IoT devices, log files, social media, and more.
Here’s an overview of the main services in the Amazon Kinesis family:

Amazon Kinesis Data Streams:

Ingest and Store Real-Time Data: Kinesis Data Streams allows you to ingest and store real-time data, such as log data or clickstreams. Data is partitioned across multiple shards to enable horizontal scaling and high throughput.
Data Processing: You can process data from Kinesis Data Streams with applications you build, such as stream processors or data aggregators.
Use Cases: Common use cases include real-time analytics, data transformation, and monitoring of live application data.

Data Delivery to Destinations: Kinesis Data Firehose simplifies the process of delivering real-time data to various AWS services, including Amazon S3, Amazon Redshift, and Amazon Elasticsearch.
Data Transformation: It can automatically transform and compress data before delivery to the chosen destination.
Use Cases: Useful for use cases like data lakes, data warehousing, and log storage.

Tags: AWS SAA