Can we analyze big data in real-time. If your answer is Yes, then you’re right. AWS offers Kinesis services which easily collect, process, and analyze video and data streams in real time. Real time analytics are very useful where you need immediate action. Companies like Netflix uses Amazon Kinesis to monitor the communications between all of its applications so it can detect and fix issues quickly, ensuring high service uptime and availability to its customers. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IOT telemetry data for machine learning, analytics, and other applications then Amazon Kinesis will process and analyze data as it arrives and respond quickly without waiting for all your data is being collected and begins the processing of data. There are 4 types of Amazon Kinesis with their different roles as mentioned in following points: Kinesis Video Streams that capture, process, and store video streams for analytics and machine learningKinesis Data Streams that collect streaming data, at scale, for real-time analyticsAmazon Kinesis Firehose which helps you load streaming data into AWS Amazon Kinesis Analytics which helps you query streaming data or build entire streaming applications using SQL. Amazon Kinesis is one of the prominent services offered by AWS which is being used by various companies like Netflix, Discovery communication, Cisco, Lyft, Accenture, Trivago and Amazon itself. In this learning path you’ll learn and deploy different kind of Amazon Kinesis services.
