数据湖与数据仓库融合的策略与实践

Strategy and practice of integrating data lake and data warehouse

传统数据仓库架构在处理结构化数据方面表现出色,但在处理半结构化和非结构化数据时显得力不从心。作为一种新兴的数据管理模式,数据湖弥补了这一缺陷,然而带来了新的问题,如数据质量差和管理复杂等。文章旨在探讨数据湖与数据仓库融合的策略,并提供了相应的实践指导,以在技术上更好地支持组织的数据管理需求。

Traditional data warehouse architecture is good at handling structured data,but it is weak in handling semi-structured and unstructured data.As a new data management model,data lake makes up for this shortcoming,but also brings new problems,such as poor data quality and complex management.This paper aims to explore the strategy of data lake and data warehouse integration,and provides corresponding practical guidance to better support the data management needs of organizations.