CertificationService Delivery Program
Amazon Kinesis
As an Amazon Kinesis specialist, we’ll make it easy to collect, process, and analyse real-time streaming data, so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application.
Overview
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. Amazon Kinesis enables you to process and analyse data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
Amazon Kinesis can be branched into 4 main services; Kinesis Video Streams, Data Streams, Data Firehose and data Analytics. Each of which enable you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days. Amazon Kinesis is fully managed and runs your streaming applications without requiring you to manage any infrastructure.
Below we have four diagrams to explain how each of them work:
You can use Amazon Kinesis to securely stream video from camera-equipped devices in homes, offices, factories, and public places to AWS. You can then use these video streams for video playback, security monitoring, face detection, machine learning, and other analytics.
With Amazon Kinesis, you can perform real-time analytics on data that has been traditionally analysed using batch processing. Common streaming use cases include sharing data between different applications, streaming extract-transform-load, and real-time analytics. For example, you can use Kinesis Data Firehose to continuously load streaming data into your S3 data lake or analytics services.
You can use Amazon Kinesis for real-time applications such as application monitoring, fraud detection, and live leader-boards. You can ingest streaming data using Kinesis Data Streams, process it using Kinesis Data Analytics, and emit the results to any data store or application using Kinesis Data Streams with millisecond end-to-end latency. This can help you learn about what your customers, applications, and products are doing right now and react promptly.
You can use Amazon Kinesis to process streaming data from IoT devices such as consumer appliances, embedded sensors, and TV set-top boxes. You can then use the data to send real-time alerts or take other actions programmatically when a sensor exceeds certain operating thresholds. Use our sample IoT analytics code to build your application. No need to start from scratch.
Amazon Kinesis Data Streams is a fully managed, serverless streaming data service that makes it easy to elastically ingest and store logs, events, clickstreams, and other forms of streaming data in real time. Kinesis Data Streams uses simple pay-as-you-go pricing. There are no upfront costs or minimum fees, and you pay only for the resources you use. Kinesis Data Streams has two capacity modes—on-demand and provisioned—and both come with specific billing options. Click the following to learn more about these options.
Amazon Kinesis can be branched into 4 main services; Kinesis Video Streams, Data Streams, Data Firehose and data Analytics. Each of which enable you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days. Amazon Kinesis is fully managed and runs your streaming applications without requiring you to manage any infrastructure.
Below we have four diagrams to explain how each of them work:
You can use Amazon Kinesis to securely stream video from camera-equipped devices in homes, offices, factories, and public places to AWS. You can then use these video streams for video playback, security monitoring, face detection, machine learning, and other analytics.
With Amazon Kinesis, you can perform real-time analytics on data that has been traditionally analysed using batch processing. Common streaming use cases include sharing data between different applications, streaming extract-transform-load, and real-time analytics. For example, you can use Kinesis Data Firehose to continuously load streaming data into your S3 data lake or analytics services.
You can use Amazon Kinesis for real-time applications such as application monitoring, fraud detection, and live leader-boards. You can ingest streaming data using Kinesis Data Streams, process it using Kinesis Data Analytics, and emit the results to any data store or application using Kinesis Data Streams with millisecond end-to-end latency. This can help you learn about what your customers, applications, and products are doing right now and react promptly.
You can use Amazon Kinesis to process streaming data from IoT devices such as consumer appliances, embedded sensors, and TV set-top boxes. You can then use the data to send real-time alerts or take other actions programmatically when a sensor exceeds certain operating thresholds. Use our sample IoT analytics code to build your application. No need to start from scratch.
Amazon Kinesis Data Streams is a fully managed, serverless streaming data service that makes it easy to elastically ingest and store logs, events, clickstreams, and other forms of streaming data in real time. Kinesis Data Streams uses simple pay-as-you-go pricing. There are no upfront costs or minimum fees, and you pay only for the resources you use. Kinesis Data Streams has two capacity modes—on-demand and provisioned—and both come with specific billing options. Click the following to learn more about these options.
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