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

Spring boot Spark Iceberg Demo

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

Apache Flink and Apache Iceberg Demo

A fully containerized multi-service environment to prototype end-to-end ETL workflows.

Apache Iceberg Lakehouse using MinIO, Trino and Nessie.

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.

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.

Kubernetes-native data platform for NYC Taxi analytics — Lakehouse architecture with Iceberg, Spark, Airflow, Nessie(catalog), Rustfs(S3 compatible object storage), Trino, Superset.

Transfer data from relational database tables, views, and query results to Apache Iceberg tables

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

Data Lakehouse implementations showcasing two approaches: one built with Open Source technologies and another with Databricks

We will create a sample lakehouse using Docker, execute an ETL process with Spark, and then access the data in the Iceberg table format from the Nessie Catalog.

This pipeline is a mini-project to get comfy with MinIO, Iceburg, Dremio and Nessie, Spark and superset.

Case Santander