Name
Abstract | ||
|---|---|---|
NoSQL (Not Only SQL) systems are becoming popular due to known advantages such as horizontal scalability and elasticity. In this paper, we study the implementation of multidimensional data warehouses based on column-oriented NoSQL systems. To do this, we define a set of mapping rules that transform a conceptual multidimensional data model into a logical column-oriented model. We consider three ways (three sub-models) to structure conceptual multidimensional data model into a column-oriented model. Then, we show an implementation of the proposed rules. Finally, we focus, through experiment, on data loading, model-to-model conversion and OLAP cuboid computation. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-23135-8_6 | ADVANCES IN DATABASES AND INFORMATION SYSTEMS, ADBIS 2015 |
Keywords | Field | DocType |
Data warehouse design,Multidimensional modelling,NoSQL databases,Model transformation rules,Column-Oriented NoSQL model | Data warehouse,SQL,Data mining,Computer science,NoSQL,Online analytical processing,Data model,Big data,Database,Computation,Scalability | Conference |
Volume | Issue | ISSN |
9282 | 1 | 0302-9743 |
Citations | PageRank | References |
4 | 0.45 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Max Chevalier | 1 | 8 | 2.29 |
| M El Malki | 2 | 23 | 2.78 |
| Arlind Kopliku | 3 | 64 | 9.45 |
| Olivier Teste | 4 | 326 | 60.56 |
| Ronan Tournier | 5 | 151 | 14.66 |