Toward Data Warehouse Modeling in the Context of Big Data

Abstract

Data modeling was and still one of most organizations’ big interest, which adds significant value to their decision-making process. In the last decades, we are observing an astonishing growth of data volume and availability, caused by the multitude of sources that are continuously producing structured, semi-structured, or unstructured data. The thing is traditional data modeling techniques are no longer efficient to handle big data, due to its complex structures. Hence, modeling should not be limited to relational databases; we can use it to design data structures at various levels from conceptual to physical in a big data warehouse cycle. Previous works have been limited to model few parts of the data warehouse cycle in big data context. The aim of our work is modeling the whole data warehouse cycle in big data era. With the major focus on the missing concept in the existing approaches, namely the reusability plays a vital role in big data warehouse decision-making process.