What is Amazon Kinesis?
Amazon Kinesis has made it easy to collect, process, and analyze streaming data in real-time so that you can get information on time and react to new information quickly. It offers key capabilities to effectively process data transmission at any scale, as well as with flexibility to select tools that meet your application requirements. With Amazon Kinesis, you can ingest real-time data such as video, audio, app logs, website click flow, and IoT telemetry data for machine learning, analytics, and other apps. It enables you to process and analyze data because it reacts quickly and handles all your data before it is collected, rather than waiting before it arrives.
Amazon Kinesis’ Core capabilities
Kinesis Video Streams – Amazon Kinesis makes it easy to stream videos from AWS securely from connected devices for video stream analytics, machine learning (ML), and other processing.
Kinesis Data Streams – Amazon Kinesis Data Streams is a scalable and durable real-time data streaming service that can continuously capture gigabytes of data per second from hundreds of thousands of sources.
Kinesis Firehose – Amazon Kinesis Data Firehose is the easiest way to capture, transform, and load data streams in AWS data stores for real-time analytics with existing business intelligence tools.
Kinesis Analytics – Amazon Kinesis is the easiest way to process data streams in real-time with SQL or Java without learning data analytics, new programming languages, or new frameworks.
Let’s Take an Overview-
Amazon Kinesis Video Streams
Amazon Kinesis video streams make it easy to securely stream video to AWS from connected devices for analytics, machine learning (ML), Playback, and other processing. Kinesis Video Streams automatically provide all the infrastructure needed to consume streaming video data from millions of devices. It prolongs, encrypts, and encodes video data in your streams, and allows you to access your data through easy-to-use APIs. Kinesis Video Streams enables live and on-demand video and quickly integrates with Amazon Recognition Video to create applications that can use computer vision and video analytics, as well as libraries for ML architecture such as Apache MXNet, TensorFlow, and OpenCV. Kinesis Video Streams also supports WebRTC, an open-source project that enables real-time media streaming and communication between web browsers, mobile applications, and connected devices via simple APIs. Typical applications include video chat and peer-to-peer media streaming.
Amazon Kinesis Data Streams
Amazon Kinesis Data Streams (KDS) is a highly scalable and durable real-time data streaming service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands of sources, such as website clickstreams, and database event streams, financial transactions, social media feeds, IT records, and location-tracking events. Data collected in milliseconds is available for real-time analytics such as real-time dashboards, real-time anomaly detection, dynamic pricing, and more.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data in data lakes, data stores, and analytics tools. It can capture, convert, and load streaming data on Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk, which enables real-time analytics with the business intelligence tools and dashboards you already use. It is a fully managed service that automatically scales to match the performance of your data and does not require ongoing administration. It can compile, compress, modify, and encrypt data before it is loaded, reducing the amount of storage used by the target and increasing security.
Check out – How Amazon Kinesis Firehose is easing our lives
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real-time. Amazon Kinesis Data Analytics reduces the problem of creating, managing, and integrating streaming applications with other AWS services. SQL users can easily query streaming data or create entire streaming applications using templates and an interactive SQL editor. Java developers can quickly create sophisticated streaming applications using open source Java libraries and AWS integrations.
Amazon Kinesis Data Analytics takes care of everything you need to continuously run your real-time applications and automatically scale to match the size and efficiency of your incoming data. With Amazon Kinesis Data Analytics, you only pay for the resources your streaming apps use. There is no minimum fee or setup cost.
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