Sample Data Lakehouse deployed in Docker containers using Apache Iceberg, Minio, Trino and a Hive Metastore. Can be used for local testing.

New generation opensource data stack

Cloud-native Trino (prestosql) + Hive + Minio + Superset

Apache Hive Metastore in Standalone Mode With Docker

Demo application to showcase integration of Trino with Apache superset using Minio and Hive metastore

Deploying an analytics platform on kubernetes cluster

BigData Pipeline is a local testing environment for experimenting with various storage solutions (RDB, HDFS), query engines (Trino), schedulers (Airflow), and ETL/ELT tools (DBT). It supports MySQL, Hadoop, Hive, Kudu, and more.

Devops for DWH which is for Crypto data analysis (hadoop, hive, spark, kafka, cassandra, trino, etc.)

MinIO trino + hive + minio with postgres in docker compose

Playground for DataLake (Hadoop, Hive, Kudu, Trino, Hue, Airflow, DBT)

A lightweight Docker image on top of alpine Linux for running a standalone Trino CLI

Distributed SQL analytics with Trino, Hive Metastore and MinIO storage

dbt data transformations for lakehouse using trino

Simplified Trino deployment and management using Ansible for non-K8s environments

On-premise data lake architecture with Trino, Delta Tables and Hive Metastore

Trino, DBT, and Spark in combination was a perfect solution. Trino can extract data from everything, DBT can load it everywhere, and Spark can transform it all at once.

Cloud-native Trino (prestosql) + Hive + Minio + Superset