There are 3 repositories under data-streaming topic.
Apache Kafka® running on Kubernetes
Memphis.dev is a highly scalable and effortless data streaming platform
Low-code tool for automating actions on real time data | Stream processing for the users.
Http Connector for Apache Flink. Provides sources and sinks for Datastream , Table and SQL APIs.
Adapter for dbt that executes dbt pipelines on Apache Flink
Sample Applications for Pravega.
Sample code that shows the important aspects of developing custom connectors for Kafka Connect. It provides the resources for building, deploying, and running the code on-premises using Docker, as well as running the code in the cloud.
Udacity Data Streaming Nanodegree Program
A library for data streaming and augmentation
Apache Flink (Pyflink) and Related Projects
Apache Kafka for the Hybrid IoT
Apache Kafka and Related Projects
A simple, time-tested, family of random hash functions in Java, based on CRC32, affine transformations, and the Mersenne Twister. 🎲
A simple, time-tested, family of random hash functions in Python, based on CRC32 and xxHash, affine transformations, and the Mersenne Twister. 🎲
Demonstration of PubNub's real-time data streaming capabilities from Twitter, Wikipedia & more
Final Project for IYKRA Data Fellowship 8 Program, creating an end-to-end banking campaign pipeline using lambda architecture (providing acess to batch and stream processing)
Goldsmiths Mocap Streamer is a cutting-edge tool that streams live motion capture (BVH) data over the internet, allowing users from multiple remote locations to interact in the same shared digital space.
Kafka Connector for Apache Doris
A Federated Learning Method for Real-time Emotion State Classification from Multi-modal Streaming
A lightweight fast data streaming library for raspberry pi in python.
Ixian S2 end to end data streaming network software
A Memphis SDK written in rust.
Reward Penalty Weighted Ensemble approach for multimodal data stream classification
Elastic Stack with Nginx, Logstash and Beats demo
Design data streaming architecture and API for a real-life application called the Step Trending Electronic Data Interface (STEDI). It is a working application used to assess fall risk for seniors. When a senior takes a test, they are scored using an index which reflects the likelihood of falling, and potentially sustaining an injury in the course of walking. STEDI uses a Redis datastore for risk score and other data. The Data Science team has completed a working graph for population risk at a STEDI clinic. The problem is the data is not populated yet. You will work with Kafka Connect Redis Source events and Business Events to create a Kafka topic containing anonymized risk scores of seniors in the clinic.
Reference implementation of the Affirmative Sampling algorithm by Jérémie Lumbroso and Conrado Martínez (2022). 🍀
Full Stack Machine Learning Engineer Project - Real Time Data Streaming and Predictions
Visualising IMU orientation using "Three.js" via the experimental "Web Serial API".
Streams simulated events using Kafka & Spark, from a music application to a data lake (AWS S3), and then a warehouse (AWS Redshift)
Comparing data streaming methods from ESP32