A data modelling method for big data warehouses

Abstract

Current increases on the data characteristics that define the advent of Big Data have led to a novel area of research, by updating (or even replacing) traditional Data Warehousing solutions into the age of large volumes of fast and diverse data. Although relevant, such endeavors have failed to provide complete and general design and implementations approaches. A recent work has however proposed a general-purpose, integrated, detailed and thoroughly evaluated approach for the design and implementation of Big Data Warehouses. From that, this work proposes, demonstrates and validates a method for modelling Big Data Warehouses, based on a set of sequential rules that aim to semi-automatically translate a traditional relational data model into the proposed Big Data Warehouse model. Positive results have shown how such method can empower the scientific and organizational domains in their efforts to more easily migrate from common traditional Data Warehouses into Big Data Warehousing solutions.