- Sydney, Australia
- https://www.jaehyeon.me
- in/jaehyeon-kim-76b93429
Stars
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ dat…
A local, open-source stack for building conversational data agents and semantic reasoning workflows over an Iceberg Lakehouse.
A curated collection of open source technologies and an accompanying CLI for experimenting with modern data architecture and MLOps.
Open-Source Web UI for managing Apache Kafka clusters
A streaming Digital Twin of a steel hot rolling mill demonstrating Online Machine Learning (OML) with Apache Kafka, Apache Flink and MOA to handle real-time concept drift.
Ready-to-use observability dashboards and telemetry integrations for Apache Kafka and Apache Flink, powered by high-fidelity metrics from Factor House.
Real-time SimPy control plane to dynamically update parameters and stream outputs via external systems like Kafka, Redis, or Postgres. Built for event-driven digital twins.
Source for Jaehyeon Kim's personal site - https://jaehyeon.me/
Building Resilient Event-Driven Systems with Kafka and Flink workshop
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
A template for rapidly building full-stack web applications in Python, featuring a FastAPI backend, a NiceGUI frontend, PostgreSQL, and Docker.
Create web-based user interfaces with Python. The nice way.
Official Helm charts for Factor House products, including Kpow and Flex. Maintained and published at charts.factorhouse.io
Docker Compose environments for developing modern data platform architectures using Kafka, Flink, Spark, Iceberg, OpenLineage, OpenMetadata, Pinot, ClickHouse, StarRocks + Kpow & Flex by Factor House
Feature demos, integration guides & hands-on labs/projects using Kpow, Flex, Kafka, Flink, Iceberg & more
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
The Dataflow Solution Guides offer full end-to-end deployment for the most common streaming solutions to run on Dataflow.
Apache Beam Python I/O connector for Amazon DynamoDB
Apache Beam Python I/O connector for Amazon Data Firehose
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Apache Beam is a unified programming model for Batch and Streaming data processing.
📚 Tech blogs & talks by companies that run Apache Flink in production