摘要
由于受制于传统的数据仓库存储架构设计,传统结构化数据不仅时效性不高,扩展性和性能均难以优化。基于Kudu设计了结构化数据接入、存储和分析的完整存储分析方案,可有效解决结构化数据的实时高性、能存储分析问题。
Because limited by the design of the traditional data warehouse＇s storage architecture, traditional structured data has no high efficiency and is difficult to optimize the scalability and performance. In this paper, a whole-cycle storage and analysis solution of structured data is designed based on Kudu, including data entry, storage and analysis, which can effectively solve the storage and analysis problem of real-time and high performance for structured data.
出处
《信息技术与标准化》
2017年第10期60-63,共4页
Information Technology & Standardization
基金
上海市青年科技启明星计划"工业大数据平台的存储和计算关键技术研究"项目
项目编号:17QB1400500
