Skip to content
#

real-time-analytics

Here are 129 public repositories matching this topic...

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

  • Updated Dec 5, 2024
  • Java
risingwave

Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch. PostgreSQL compatible.

  • Updated Dec 5, 2024
  • Rust

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

  • Updated Jun 5, 2023
  • Jupyter Notebook

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.

  • Updated Oct 5, 2023
  • Python

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

  • Updated Jan 20, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the real-time-analytics topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the real-time-analytics topic, visit your repo's landing page and select "manage topics."

Learn more