数据湖:下一代信息系统

Mohamed Cherradi
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引用次数: 2

摘要

本文介绍了数据湖架构(Data Lakehouse Architecture),这是数据架构中的一种变革模式,它将传统数据仓库的分析优势与数据湖固有的模式灵活性无缝整合在一起。与当前的框架不同,这种综合方法建立了一个统一的平台,克服了传统数据管理的局限性。为了满足对综合解决方案的迫切需求,我们的主要目标是为复杂的数据管理设定新标准。我们的建议与众不同之处在于将数据仓库分析与数据湖模式灵活性无缝融合,突出了其独创性。全文深入探讨了研究方法,提供了对研究框架建议的全面理解。基础成果展示了数据湖架构的成功实施,揭示了结构化数据分析、复杂查询和高性能报告的增强处理能力。结论强调了模式转变和对数据管理实践的变革性影响,强化了我们创新解决方案的意义。这项研究不仅提供了一个新颖的技术框架,还强调了面对不断变化的数据环境,适应性和性能的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Lakehouse: Next Generation Information System
This paper introduces the Data Lakehouse Architecture, a transformative model in data architecture that seamlessly integrates the analytical strengths of traditional data warehouses with the schema flexibility inherent in data lakes. Departing from current frameworks, this comprehensive approach establishes a unified platform, overcoming limitations of conventional data management. Addressing the critical need for an integrated solution, our primary objective is to set a new standard for sophisticated data management. The distinctiveness of our proposal lies in the seamless fusion of data warehouse analytics and data lake schema flexibility, underscoring its originality. The full article delves into the research methodology, providing a comprehensive understanding of the study's framework proposal. The foundational outcomes showcase the successful implementation of our Data Lakehouse Architecture, revealing enhanced processing capabilities for structured data analysis, complex querying, and high-performance reporting. The conclusion emphasizes the paradigm shift and transformative impact on data management practices, reinforcing the significance of our innovative solution. This research not only contributes a novel technological framework but also highlights the importance of adaptability and performance in the face of evolving data landscapes.
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