Amazon Kinesis makes it easy to collect, process, and analyze 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. 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 analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
This tutorial focus on different features of Kinesis Datastream, Delivery Stream & Analytics Application
- Create Datastreams
- Producing events on Datastreams
- Using Spring Cloud API
- Using Kinesis Core API
- Consuming events from Datastreams
- Using Spring Cloud API
- Using Kinesis Core API
- AWS Lambda To Consumer
- Creating Project Using SAM
- Serverless AWS Lambda Code Walkthrough
- Deployment
- Firehose
- Transform Raw Data from Data Stream to S3
- Analytics
- SQL Legacy
- Stock Producer
- SQL Legacy
- Stock Consumer
- Stream Application
- Using Flink
- Stock Producer
- Flink API
- Stock Consumer
- Flink Local Setup
- Flink Setup Locally
- Batch Example (Wordcount)
- Setup Flink Dashboard
- Using Flink
- SQL Legacy
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Licensed under the Apache 2.0 License.
Enjoy!