Demos for Nessie. Nessie provides Git-like capabilities for your Data Lake.

Full data lakehouse stack from local Docker to K8s

Query a Virtual Knowledge Graph over Iceberg in Trino, Nessie as Catalog, and use minio to replace AWS S3

Spring boot Spark Iceberg Demo

Apache Flink and Apache Iceberg Demo

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.

A platform that ingests live crypto trades, allows you to "revert" the database to any second in the past to backtest strategies, and serves live signals.

An AI-powered Lakehouse platform with Sales Copilot features, enabling smart retail analytics from ingestion to insight.

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.

end-to-end data infrastructure using Airbyte, Airflow, Minio, Nessie, Dremio, Iceberg, dbt, Metabase

Postgres > Kafka Connect (Debezium) > Kafka > Kafka Connect > Iceberg + Nessie + Minio <<< Dremio

Laboratório local de lakehouse com Trino voltado a educação prática e prototipagem de arquitetura moderna de dados. O repositório empacota, em um ambiente single-node via Docker Compose, query federation com Trino, Iceberg, Nessie, MinIO e PostgreSQL

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.