Characterizing Big Data Management

TL;DR

This paper explores the multifaceted challenges of big data management across technology, people, and processes, emphasizing their roles in enabling effective data-driven decision-making in organizations.

Contribution

It provides a comprehensive characterization of big data management by analyzing technological, human, and process dimensions, integrating them into a holistic framework.

Findings

Big data management involves technology, people, and processes.

Effective management supports decision-making from large data volumes.

The article discusses integration of these dimensions in organizational contexts.

Abstract

Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: technology, people and processes. Hence, this article discusses these dimensions: the technological dimension that is related to storage, analytics and visualization of big data; the human aspects of big data; and, in addition, the process management dimension that involves in a technological and business approach the aspects of big data management.