Amazon Kinesis is a real-time data streaming service that makes it easy to collect, process, and analyze data so you can get quick insights and react as fast as possible to new information. 
With Amazon Kinesis you can ingest real-time data such as application logs, website clickstreams, IoT telemetry data, social media feeds, etc., into your databases, data lakes, and data warehouses. You can also build your own real-time applications using this data. 
Looking to immediately get some deep info on Kinesis? Check out Cloud Academy’s Getting Started with Amazon Kinesis Learning Path, which includes courses, labs, and exams to fill your knowledge bucket.

Two key characteristics of Kinesis are that it enables you to process and analyze data as it arrives, and then it responds in real-time instead of having to wait until all your data is collected before the processing can begin. You can understand what Kinesis is designed to do my remembering that it can:

Collect data quickly
Analyze data quickly

How you collect, store, process, and analyze your data is up to you — it can range from complete customization of the system to a turnkey approach using the PaaS offering.
Why use Amazon Kinesis? Why use real-time analytics?
People choose Kinesis because it’s an effective, real-time analytics service — but why are we so concerned about real-time data?
The chart below shows the function and value of data over time. 

The value of data to be preventative or predictive diminishes (rather quickly) over time. The data still has value, it just becomes useful for a different role — for carefully looking at past trends, as opposed to continually acting on what’s happening in the present moment.
Speed — Kinesis is good for companies that already have terabytes of data in the cloud
Data shows that 20% of companies already have migrated to the cloud. If you already

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