Amazon Kinesis

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Amazon Kinesis is a managed service offered by Amazon Web Services that allows you to collect, process, and analyze real-time streaming data at massive scale. With Amazon Kinesis, you can ingest real-time streaming data such as application logs, website clickstreams, social media feeds, and IoT telemetry data to drive real-time analytics use cases. 

Some key capabilities of Amazon Kinesis include:

- Amazon Kinesis Data Streams - This allows you to collect and process large streams of data records in real time. Data records are stored in shards which enables parallel processing across multiple consumers. You can develop custom consumer applications that can read data from the streams in real time and take appropriate actions like performing analytics, aggregations, enrichment etc.

- Amazon Kinesis Data Firehose - This service delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon Elasticsearch Service etc. It can automatically transform and load data with its scalable and reliable infrastructure. This enables you to quickly analyze your real-time streaming data for analytics use cases.

- Amazon Kinesis Data Analytics - This service allows you to analyze real-time streaming data using standard SQL without having to learn complicated programming APIs or frameworks. You can build complete applications that continuously query streams, perform analytics and custom transformations, and send results to dashboards, databases etc. 

With its real-time capabilities, scalability, and fully managed infrastructure, Amazon Kinesis is very useful for building applications that require processing of high volumes of real-time streaming data. Some common use cases include website clickstream analytics, application logging and monitoring, IoT device data analytics, financial market data processing and more.

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