First project with Apache Flink (a framework for distributed stream and batch data processing)
-
Updated
Jan 11, 2023 - Java
First project with Apache Flink (a framework for distributed stream and batch data processing)
A collection of hands-on Apache Beam exercises for learning data processing, machine learning, and deployment on various runners and platforms.
Project that implements AMS streaming algorithm to compute the number of distinct items and to estimate kth moment given a twitter stream of data.
Experimental stream processing pipeline with anomaly detection.
Mirror of Apache Beam
An application that gathers streaming data from twitter dataset , uses feature selection techniques to extract relevant keywords from a tweet , performs clustering to detect events . It also takes input from user such that window specified by user allows to further perform clustering which in turn uses a forest data structure to achieve it.
BigData analysis using IBM InfoSphere and Hadoop eco system, including MapReduce, Spark and Pig
The Reactive Programming Language
An implementation of Apache Flink's TypeSerializer for JSON objects
Transceiver Framework: A framework for concurrent multi stage processing of data & MDP: An online motif detector and predictor embedded in the transceiver framework.
Tiny goodies for Continuation-Passing-Style functions (OLDER VERSION), use instead the NEWER `cpsfy`
Big Data streaming processing engine
File archiver based on GZIP algorithm
Common stream abstraction and in-memory implementation for streaming data
Reactive stream processing framework
Developers can create lovely visuals from live data streams. EON Spark is the visual representation of live streaming data, the way you would imagine. iOS, Android and web browsers.
Add a description, image, and links to the stream-processing topic page so that developers can more easily learn about it.
To associate your repository with the stream-processing topic, visit your repo's landing page and select "manage topics."