The Internet of Things (IoT) data and social media data are two of the fastest-growing data segments. Having high-quality data is crucial for making informed business decisions. The strategic process of leveraging insights from data is known as data-driven decision-making. To achieve this, it is necessary to collect, store, analyze, and protect data in the best ways possible. Data architecture is a complex task that involves describing the flow of data from its source to its destination and creating a blueprint for managing the data to meet business needs for information. In this paper, we utilize the Data Architecture Tool (DAT) to model data for Digital Space Management Service, which was developed as part of the VASARI project. This work focuses on describing the movement of data, data formats, data location, data processing (batch or real-time), data storage technologies, and main operations on the data.

翻译：物联网（IoT）数据与社交媒体数据是增长最快的两类数据。高质量数据对于做出明智的业务决策至关重要。从数据中获取洞察的战略性过程被称为数据驱动决策。为实现该目标，必须以最优方式收集、存储、分析和保护数据。数据架构是一项复杂任务，涉及描述数据从源头到目的地的流动过程，并构建管理数据以满足业务信息需求的蓝图。本文利用数据架构工具（DAT）对作为VASARI项目组成部分而开发的数字空间管理服务进行数据建模。本项工作重点描述数据移动、数据格式、数据位置、数据处理（批量或实时）、数据存储技术及对数据的主要操作。