Home // DBKDA 2015, The Seventh International Conference on Advances in Databases, Knowledge, and Data Applications // View article
Authors:
Marcio Victorino
Marçal Hokama
Danilo Silva
Keywords: NoSQL; OLAP; Big Data
Abstract:
In recent years, the demand for processing a great volume of data of different formats has increased considerably. In order to address such a demand, a number of new data models have been proposed, which are different from relational models. The databases that implement such models are commonly known as Non-Structured Query Language (NoSQL). NoSQL databases have become excellent persistence devices for the Big Data environment because they provide structural flexibility, horizontal scalability, unstructured data support and distributed processing. However, these databases are not suitable to support ad-hoc analysis, very common to the conventional Online Analytical Processing (OLAP) architecture. On the other hand, the OLAP architecture has a multidimensional data repository, called Data Warehouse (DW), not able to support the new data storage demand. This work presents a preliminary study within the Brazilian Army to establish a new architecture that integrates the OLAP and Big Data environments to provide structured and unstructured data usage for decision support.
Pages: 53 to 56
Copyright: Copyright (c) IARIA, 2015
Publication date: May 24, 2015
Published in: conference
ISSN: 2308-4332
ISBN: 978-1-61208-408-4
Location: Rome, Italy
Dates: from May 24, 2015 to May 29, 2015