Towards Big Data Modeling and Management Systems: From DBMS to BDMS

TL;DR

This paper discusses the evolution from traditional DBMS to Big Data Management Systems, emphasizing the importance of data modeling and management challenges in implementing effective Big Data strategies.

Contribution

It highlights the critical challenges in data modeling and management for Big Data, proposing a broader perspective on developing effective BDMS solutions.

Findings

Identifies key challenges in Big Data modeling and management.

Emphasizes the importance of understanding complex data processing.

Highlights the need for tailored data models in Big Data systems.

Abstract

To succeed in a Big Data strategy, you have to arm yourself with a wide range of data skills and best practices. This strategy can result in an impressive asset that can streamline operational costs, reduce time to market, and enable the creation of new products. However, several Big Data challenges may take place in enterprises when it comes to moving initiatives of boardroom discussions to effective practices. From a broader perspective, we take on this paper two very important challenges, namely modeling, and management. The main context here is to highlight the importance of understanding data modeling and knowing how to process complex data while supporting the characteristics of each model.