aws-samples Goto Github PK
Name: AWS Samples
Type: Organization
Blog: https://amazon.com/aws
Name: AWS Samples
Type: Organization
Blog: https://amazon.com/aws
This Repository contains the source-code for the blog post Compress and Conquer with Amazon Keyspaces
Collection of sample code for Amazon Keyspaces (for Apache Cassandra)
An example of a custom codec that can be used to support transparent communication with Amazon S3 from Amazon Keyspaces (for Apache Cassandra) driver side
The Spring Data for Apache Cassandra project applies core Spring concepts to the development of solutions using Amazon Keyspaces.
Docker Image /tools for working with Amazon Keyspaces.
Sample Apache Beam pipeline that can be deployed to Amazon Managed Service for Apache Flink. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to Amazon CloudWatch for visualization.
Sample for the German article "Anomalie-Erkennung für Echtzeit-Datenströme" by Constantin Gonzalez and Florian Mair published in Big Data Insider.
Streaming ETL with Apache Flink and Amazon Kinesis Data Analytics
Sample Apache Flink application that can be deployed to Kinesis Analytics for Java. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to an Amazon Elasticsearch Service cluster for visualization with Kibana.
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.
Example applications in Java, Python and SQL for Kinesis Data Analytics, demonstrating sources, sinks, and operators.
Amazon Managed Service for Apache Flink Benchmarking Utility helps with capacity planning, integration testing, and benchmarking of Amazon Managed Service for Apache Flink applications.
Amazon Kinesis Data Analytics Flink Starter Kit helps you with the development of Flink Application with Kinesis Stream as a source and Amazon S3 as a sink. This demonstrates the use of Session Window with AggregateFunction.
A walkthrough of setting up a Kinesis Data Analytics for Java Application which ingest streaming JSON data and leverages the Flink Table API.
Sample code for building a Python application for Apache Flink on Kinesis Data Analytics.
Snapshot manager for Amazon Kinesis Data Analytics for Apache Flink helps the users to generate a snapshot on a periodic basis.
Sample code for the AWS Big Data Blog Post Building a scalable streaming data processor with Amazon Kinesis Data Streams on AWS Fargate
Learning Amazon Kinesis Development
A Java application that replays events that are stored in objects in Amazon S3 into a Amazon Kinesis stream as if they occurred in real time.
CloudFormation templates and scripts demonstrating how to build a promotion recommendation system using Kinesis and SageMaker.
Sample Java application that uses the Amazon Kinesis Client Library to read a Kinesis Data Stream and output data records to connected clients over a TCP socket.
Sample serverless application that reads events from Amazon Kinesis Data Streams and batches records to Amazon Timestream via Apache Flink app, visualizing results via Grafana.
A place to add different use cases for different Kinesis Video Stream Assets
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.