DEVELOPMENT OF A HYBRID METHOD FOR DATA WAREHOUSE CONSTRUCTION

O. Koval, O. Harasymchuk
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Abstract

The examined approach to building an adaptive and convenient data warehouse goes beyond simple data storage focusing on processing data for various types of reports and analytics. It allows for more efficient use of data resources and ensures a flexible response to changing business needs. This hybrid method combines several techniques and technologies to provide the best possible performance and scalability. The article discusses the main challenges and benefits of this approach and presents a detailed analysis of the architecture and components of the proposed data warehouse system. The results show significant improvements in data processing speed and accuracy compared to traditional methods. Key words: data warehouse hybrid method data processing scalability.
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开发数据仓库建设的混合方法
经检查,建立适应性强且方便的数据仓库的方法超越了简单的数据存储,侧重于为各种类型的报告和分析处理数据。它可以更有效地利用数据资源,确保灵活应对不断变化的业务需求。这种混合方法结合了多种技术和工艺,以提供最佳性能和可扩展性。文章讨论了这种方法的主要挑战和优势,并详细分析了拟议数据仓库系统的架构和组件。结果表明,与传统方法相比,数据处理速度和准确性有了显著提高。关键词:数据仓库混合方法数据处理可扩展性。
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