A real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud
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Updated
Mar 5, 2023 - Java
A real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud
Realtime Data Processing and Search Engine Implementation.
Real-time visual analytics for soccer matches, leveraging Apache Flink, Apache Kafka and the Elastic stack. Solution to DEBS 2013 Grand Challenge. Coursework in Systems and Architectures for Big Data 2016/2017.
Real-time visual analytics application for link prediction and link detection in criminal networks. Research work accepted to the 5th IEEE International Conference on Future of Internet of Things and Cloud (FiCloud 2017).
Scaffolding for data stream processing applications, leveraging Apache Flink.
Real-time social media analytics application that monitors posts and users popularity, leveraging Apache Flink. Research work accepted to the 10th ACM International Conference on Distributed and Event-Based Systems (DEBS 2015).
A Flink library to implement both a buffer-based and a speculative out-of-order event arrival handlers for online process discovery
Apache Flink boilerplate to build performant data streaming applications from.
Simulation toolbox for Crimegraph.
This project is a data pipeline to stream data from meetup, perform realtime analysis and mapping back to google map.
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