🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.

Serverless multi-protocol + multi-destination event collection system.

Adapter for dbt that executes dbt pipelines on Apache Flink

📡 Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.

This repo assists in building streaming analytics platform using RisingWave and dbt, empowering your real-time data insights.

Real-time ETL pipeline for financial data (kafka, pyspark) .

Extends the standard cumulocity administration with dialog to add analytics builder extensions

Self-Supervised Adaptive and Interpretable Anomaly Detection with Dynamic Operating Limits

Source code of a heavy hitter packet streaming application implemented with four stream processing systems: Flink, Spark Streaming, Storm and WindFlow.

Built a Large Scale Distributed Data Processing system for Streaming Analytics using Hadoop Ecosystem (Apache Spark and HDFS), in Cloud for real-time spatial analytics.

An end‑to‑end real-time analytics & anomaly detection with PySpark Structured Streaming on user activity logs from Kafka

Apama Connectivity Plugin for Apache Pulsar Messaging Framework.

Streaming data processing in Azure

Building application analytics streaming for delivering data-enriched visualizations in a real-time dashboard

Open-source, Cloud-native Streams

Real-time Coinbase market data streaming pipeline with visualizations. Much appreciation to DataTalks.Club Data Engineering Zoom Camp: https://github.com/DataTalksClub/data-engineering-zoomcamp

Performance Analysis of Apache Kafka and Apache Flink Streaming using VMs on the LRZ Cloud.

Allow Streams applications to read / write to Cloudant database

A real-life end-to-end cloud sub-system scenario

📡 Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.