A curated list of open source tools used in analytics platforms and data engineering ecosystem
data-lakehouse 开源项目推荐(309 个)
data-lakehouse 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 309 个仓库A data lakehouse on Databricks with the medallion architecture: PySpark, Spark SQL, Delta Lake and Unity Catalog. The project of the free Databricks bootcamp.
生物学开源数据湖库。通过支持生物格式、注册库和本体的血统原生湖屋进行查询、追踪和验证。🍊YC S22
Qbeast-spark:支持多维索引和高效数据采样的数据源。 大数据,摆脱不必要的干扰!
Sample Data Lakehouse deployed in Docker containers using Apache Iceberg, Minio, Trino and a Hive Metastore. Can be used for local testing.
Hybrid recommender system + RAG chatbot for IT courses (FastAPI + Express/TS + PostgreSQL), with an independent Data Lakehouse module (Spark/Kafka/dbt/Trino) and full CI/CD
ETL / ELT / Reverse ETL Framework powered by DuckDB, designed to seamlessly integrate and process data from diverse sources. It leverages Markdown as a configuration medium, where YAML blocks define metadata for each data source, and embedded SQL blocks specify the extraction, transformation, and loading logic.
Floe: Policy-based table maintenance for Apache Iceberg
Repositório de desenvolvimento (MVP) para estruturação analítica do CadÚnico municipal. Sem dados pessoais — apenas código, dicionários, esquemas e amostras sintéticas. Alinhado à LGPD e boas práticas de governança.
SwiftLake: Java SQL engine built on Apache Iceberg and DuckDB for efficient lakehouse reads and writes
Data Engine for AI/Algo Trading: Download/Stream -> Clean -> Store. Supports Data Lakehouse Architecture. Clean Once and Forget.
DatAasee - 面向图书馆的元数据湖
A real-time & batch hybrid lakehouse architecture: Stream live GDELT 2.0 events into MongoDB (Hot Tier) via Kafka, batch-load historical archives into Apache Iceberg (Cold Tier) with Spark, orchestrate with Airflow, and serve zero-duplicate federated SQL analytics using PrestoDB and Apache Superset.
End-to-end retail lakehouse on Databricks: dual-path ingestion from PostgreSQL and S3, dbt-modeled galaxy schema with SCD2 history, Airflow orchestration with parallel DAG execution, CI-gated dbt tests, and a dual consumption layer via Power BI and a Genie Agent.
This repo provides a step-by-step approach to building a modern data warehouse using PostgreSQL. It covers the ETL (Extract, Transform, Load) process, data modeling, exploratory data analysis (EDA), and advanced data analysis techniques.
Production-ready Apache Superset with DuckLake integration. Stateless analytics architecture using DuckDB for compute, PostgreSQL for metadata, and S3/GCS/MinIO for data lake storage. Includes Docker Compose, Kubernetes Helm charts, BigQuery Integration, and CI/CD workflows. Supports MotherDuck cloud integration.
This repository is a place for the Data Warehousing course at the Information Systems & Analytics department, Santa Clara University.
Former fork combining dbt-fabric and dbt-fabricspark
End-to-end E-Commerce Lakehouse built on Databricks using Medallion Architecture (Bronze → Silver → Gold). Ingests raw CRM and ERP data, applies PySpark transformations, and delivers a star schema via Spark SQL stored as Delta Tables in Unity Catalog.
A project of creating a local data lakehouse using open-source tools and using Apache Iceberg as the open table format
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/data-lakehouse。
- 该话题在 GitHub 上共有 309 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2247 Star,覆盖 10 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。