How to implement a streaming at scale solution in Azure
A p2p content database and search engine
📝 A step-by-step example/tutorial showing how to build a Phoenix (Elixir) App where all data is immutable (append only). Precursor to Blockchain, IPFS or Solid!
🚀Serverless function platform for Lua
A Kappa-style peer-to-peer content database, on top of hyperdrives.
Asynchronous Server App Boilerplate (ASAB) is a micro-service framework for Python 3 and asyncio.
Phobos plugin which saves your kafka events to the database
My implementation of the Kappa Architecture using Kafka, Spark, the ELK stack, mostly using Scala, and a bit of Python sprinkled all over.
Designed and implemented a data pipeline for real-time analysis of movie and TV show data sourced from multiple APIs of TMDB website. The project was designed according to Kappa architecture
A curated list of resources to navigate data engineering
Reingest EventHubs Capture to EventHubs
Axiomatic ARE-Logic with Plexity Logical Ecosystem Science Framework
Une plateforme Data Lakehouse temps réel conteneurisée, construite avec Kafka, Spark Streaming, Delta Lake (MinIO) et Streamlit
Nesse projeto iremos simular uma rede de postos de combustíveis movida a dados, essa rede possui milhares de filiais espalhadas pelo Brasil, para suportar essa operação robusta utilizará uma arquitetura de dados moderna e escalável com a Cloud da Microsoft, vamos extrair o potencial dos dados e gerar visualizações e insights para esse negócio.
Real-time e-commerce analytics pipeline: Kafka → Spark Structured Streaming → PostgreSQL + MinIO data lake, with Airflow batch reconciliation and Grafana/Prometheus observability. Dockerized, live-validated end-to-end — not just unit-tested.
An example of a Kappa architecture solution for transaction fraud detection using Apache Kafka and Python
Several Flink common helpers and functions used in the fahrbar project
A streaming toolkit with bottomless storage
Real-time fraud detection system representing a Hybrid Pipeline (Kappa Architecture). Built with Python, Apache Kafka (KRaft), ksqlDB for temporal windowing anomalies, and PostgreSQL. Features an interactive synthetic banking data generator. 🛡️💸
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