数据湖：功能与系统综述
Data Lakes: A Survey of Functions and Systems
AI总结：
本文综述了数据湖的发展、架构与系统，根据功能对现有方法和系统进行分类，为设计、实现和部署数据湖提供技术参考并探讨未来研究挑战。
摘要：
数据湖在大数据管理和数据分析领域正变得日益普遍。与数据仓库等传统的“写时模式”方法不同，数据湖是以原始格式存储原始数据并提供通用访问接口的存储库。尽管引起了学术界和工业界的强烈兴趣，但关于数据湖的定义、功能和可用技术仍存在大量模糊之处。目前仍缺乏关于数据湖挑战与解决方案的完整、连贯图景。本综述回顾了数据湖的发展、架构和系统。我们为设计和构建数据湖的研究问题提供了全面的概述。我们根据数据湖提供的功能对现有方法和系统进行了分类，这使得本综述成为设计、实现和部署数据湖的有用技术参考。我们希望本综述中对现有解决方案的详尽比较以及对开放研究挑战的讨论，能够推动数据湖研究和实践的未来发展。
英文摘要：
Data lakes are becoming increasingly prevalent for big data management and data analytics. In contrast to traditional 'schema-on-write' approaches such as data warehouses, data lakes are repositories storing raw data in its original formats and providing a common access interface. Despite the strong interest raised from both academia and industry, there is a large body of ambiguity regarding the definition, functions and available technologies for data lakes. A complete, coherent picture of data lake challenges and solutions is still missing. This survey reviews the development, architectures, and systems of data lakes. We provide a comprehensive overview of research questions for designing and building data lakes. We classify the existing approaches and systems based on their provided functions for data lakes, which makes this survey a useful technical reference for designing, implementing and deploying data lakes. We hope that the thorough comparison of existing solutions and the discussion of open research challenges in this survey will motivate the future development of data lake research and practice.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
