【Lakehouse Engine：基于配置的Spark框架，用Python编写，旨在为数据产品提供可扩展和分布式的引擎，支持多个Lakehouse算法、数据流和实用工具，其主要目标是为多个数据产品团队提供先进、标准、受控和经过实战测试的基础设施，避免团队开发孤立的解决方案，降低技术债务和高运营成本，并使团队能够专注于数据相关任务，提高效率】'Lakehouse Engine - The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.' adidas GitHub: github.com/adidas/lakehouse-engine 开源 机器学习