Data Architecture for Digital Object Space Management Service (DOSM) using DAT

TL;DR

This paper presents a data architecture model for Digital Space Management Service (DOSM) using the Data Architecture Tool (DAT), focusing on data flow, formats, storage, and processing in IoT and social media contexts.

Contribution

It introduces a structured data architecture model for DOSM utilizing DAT, enhancing understanding of data management in digital space services.

Findings

Model effectively describes data flow and formats.

Supports batch and real-time data processing.

Guides data storage and operation strategies.

Abstract

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.