Migrating from a Centralized Data Warehouse to a Decentralized Data Platform Architecture

PRODUCT-FOCUSED SOFTWARE PROCESS IMPROVEMENT (PROFES 2021)(2021)

引用 4|浏览0
暂无评分
摘要
To an increasing degree, data is a driving force for digitization, and hence also a key asset for numerous companies. In many businesses, various sources of data exist, which are isolated from one another in different domains, across a heterogeneous application landscape. Well-known centralized solution technologies, such as data warehouses and data lakes, exist to integrate data into one system, but they do not always scale well. Therefore, robust and decentralized ways to manage data can provide the companies with better value give companies a competitive edge over a single central repository. In this paper, we address why and when a monolithic data storage should be decentralized for improved scalability, and how to perform the decentralization. The paper is based on industrial experiences and the findings show empirically the potential of a distributed system as well as pinpoint the core pieces that are needed for its central management.
更多
查看译文
关键词
Data warehousing, Data platform architecture, Distributed data management, Data decentralization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要