Document-oriented Models for Data Warehouses - NoSQL Document-oriented for Data Warehouses
Max Chevalier, Mohammed El Malki, Arlind Kopliku, Olivier Teste, Ronan Tournier · 2016
There is an increasing interest in NoSQL (Not Only SQL) systems developed in the area of Big Data as candidates for implementing multidimensional data warehouses due to the capabilities of data structuration/storage they offer.In this paper, we study implementation and modeling issues for data warehousing with document-oriented systems, a class of NoSQL systems.We study four different mappings of the multidimensional conceptual model to document data models.We focus on formalization and crossmodel comparison.Experiments go through important features of data warehouses including data loading, OLAP cuboid computation and querying.Document-oriented systems are also compared to relational systems.