kinesis-data-analytics
There are 14 repositories under kinesis-data-analytics topic.
aws-samples/sagemaker-feature-store-real-time-recommendations
Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.
jaehyeon-kim/flink-demos
Apache Flink (Pyflink) and Related Projects
aws-samples/amazon-kinesis-data-analytics-flink-benchmarking-utility
Amazon Managed Service for Apache Flink Benchmarking Utility helps with capacity planning, integration testing, and benchmarking of Amazon Managed Service for Apache Flink applications.
aws-samples/amazon-kinesis-data-analytics-snapshot-manager-for-flink
Snapshot manager for Amazon Kinesis Data Analytics for Apache Flink helps the users to generate a snapshot on a periodic basis.
aws-samples/amazon-kinesis-data-analytics-blueprints
Kinesis Data Analytics Blueprints are a curated collection of Apache Flink applications. Each blueprint will walk you through how to solve a practical problem related to stream processing using Apache Flink. These blueprints can be leveraged to create more complex applications to solve your business challenges in Apache Flink.
iarjunsk/flink-kinesis-data-analytics-sample
Flink KDA Sample Application
aws-samples/kinesis-data-analytics-apache-flink-async-io
Showcases the AsyncIO Functionality within Apache Flink for Kinesis Data Analytics
TechPrimers/eks-kinesis-example
Stream Processing Example using Spring Boot, Spring Cloud Stream, EKS, Kinesis Data Streams, Kinesis Data Analytics
aws-samples/kinesis-data-analytics-flink-aurora-sink
Showcases how to use Apache Flink on Kinesis Data Analytics to write to Amazon Aurora
aws-samples/kda-metrics-dashboard
This repository contains a CloudFormation template that you can customize to deploy a sample metrics dashboard for your Kinesis Data Analytics for Apache Flink application.
aws-samples/amazon-kinesis-data-analytics-apache-flink-server-sent-events-sse
When dealing with real-time data it is often required to send that data over the internet to various sources. Various technologies have enabled this such as web sockets and long polling. Recently server-sent events (SSE) has become a popular technology to push updates to clients. Ingesting this type of data source into AWS requires a client to be running continuously to receive those events. This sample shows how to connect to an SSE endpoint using an Amazon Kinesis Data Analytics application using Apache Flink. As the events arrive they are published to an Amazon Kinesis Data Streams stream then in this sample we simply store the event data in Amazon S3.
aws-samples/efo-ltr-flink-sample
Sample showcasing the use of FlinkKinesisConsumer with EFO support
aws-samples/automate-deployment-and-version-update-of-kda-application
Automate deployment and version updates for Amazon Kinesis Data Analytics applications with AWS CodePipeline
build-on-aws/real-time-analytics-with-flink-sql
Sample code repository that contains the sample data set files and Zeppelin notes to run analytical queries with SQL.