Demos for Nessie. Nessie provides Git-like capabilities for your Data Lake.
-
Updated
Apr 7, 2026 - Jupyter Notebook
Demos for Nessie. Nessie provides Git-like capabilities for your Data Lake.
Query a Virtual Knowledge Graph over Iceberg in Trino, Nessie as Catalog, and use minio to replace AWS S3
Transfer data from relational database tables, views, and query results to Apache Iceberg tables
Apache Iceberg Lakehouse using MinIO, Trino and Nessie.
A fully containerized multi-service environment to prototype end-to-end ETL workflows.
Kubernetes-native data platform for NYC Taxi analytics — Lakehouse architecture with Iceberg, Spark, Airflow, Nessie(catalog), Rustfs(S3 compatible object storage), Trino, Superset.
A sample setup modern data lakehouse with MinIO as S3 Like, Nessie for data catalog and version control system to data lake, Dremio as Query Engine for SQL Like to catalog lakehouse, Apache NiFi as data streaming to handle ETL process, Metabase as visualization dashboard to get insight for forecasting or business decision in the future.
An AI-powered Lakehouse platform with Sales Copilot features, enabling smart retail analytics from ingestion to insight.
Postgres > Kafka Connect (Debezium) > Kafka > Kafka Connect > Iceberg + Nessie + Minio <<< Dremio
Real‑time streaming lakehouse stack: Kafka produces JSON events that Kafka Connect (Iceberg Sink) writes transactionally into Apache Iceberg tables versioned by Nessie, stored in MinIO (S3 compatible), and queried with Trino. Includes automatic schema evolution (additive), table bootstrap, and a Python data simulator.
Add a description, image, and links to the nessie topic page so that developers can more easily learn about it.
To associate your repository with the nessie topic, visit your repo's landing page and select "manage topics."