Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
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Updated
May 11, 2023 - Python
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
Faust dockerized application
This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"
Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm
RealTime StockStream is a streamlined, simulation system for processing live stock market data. It uses Apache Kafka for data input, Apache Spark for data handling, and Apache Cassandra for data storage, making it a powerful yet easy-to-use tool for financial data analysis
Udacity Data Streaming - Project Optimizing Public Transportation
Automated deployment of an Apache Storm cluster in your Grid'5000 reserved nodes.
Final project for the course 'Architecture for Large Data Volumes', taught in the Bachelor's program in Data Science at ITAM
Udacity Data Streaming project based on Apache Kafka
Usage of the UOB algorithm in the unbalanced static data streams processing - Academic Project
Metro is pipelines orchestrator platform for stream data.
Analyzes rocket league replays, allowing the user to write Streaming-SQL to find out information about the replay as it plays.
PyFlink data stream processing utilities 🐿
Automated deployment of an Apache Flink cluster in your Grid'5000 reserved nodes.
DataStream-SQLServer provides real-time data streaming from SQL Server using Zookeeper, Kafka, and Debezium. This repository contains the necessary configurations, Docker setups, and sample code to get you started.
A lightweight and polyglot stream-processing library, to be used as a data backplane-, message relay-, or pipeline-subsystem.
Real-time data engineering pipeline for an American hiring platform
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