论文标题
NAV中的敏捷数据管理：案例研究
Agile data management in NAV: A Case Study
论文作者
论文摘要
为了满足数字服务开发的分析数据的需求，许多组织使用数据仓库，以及最近的数据湖体系结构。传统上，这些体系结构伴随着集中的组织模型，在该模型中，单个团队或部门负责收集，转换和访问分析数据。但是，这种集中模型以稳定性为前提，并且与敏捷软件开发不兼容，在该软件开发中，应用程序和数据库不断更新。为了获得更敏捷的数据管理形式，一些组织已经开始尝试分布式数据管理模型，例如“数据网格”。但是，对此主题的研究是有限的。在本文中，我们报告了挪威公共部门组织的案例研究的发现，该研究已开始从集中式数据管理到分布式数据管理的过渡，概述了分布式方法的收益和挑战。
To satisfy the need for analytical data in the development of digital services, many organizations use data warehouse, and, more recently, data lake architectures. These architectures have traditionally been accompanied by centralized organizational models, where a single team or department has been responsible for gathering, transforming, and giving access to analytical data. However, such centralized models presuppose stability and are incompatible with agile software development where applications and databases are continuously updated. To achieve more agile forms of data management, some organizations have therefore begun to experiment with distributed data management models such as 'data meshes'. Research on this topic is however limited. In this paper, we report findings from a case study of a public sector organization in Norway that has begun the transition from centralized to distributed data management, outlining both the benefits and challenges of a distributed approach.
