Suporte para séries temporais em plataforma e-Science

Abstract

In the last few years database management systems solutions, that do not follow the traditional object-relational approach, have gained popularity in specific cases where it is not necessary to maintain ACID properties or use SQL to query the database. The NoSQL databases differ from relational approach because they use different kinds of structures to store the data like key-value data structures, columns, graphs or documents and they are being increasingly used in applications that deal with the so called Big data.In the scope of Earth Sciences, including the use of laser sensors (LiDAR) for the analysis of wind conditions on wind towers facilities for electricity production, are produced time series later used by researchers in their work research. Due to the huge amount of information that is produced by these sensors, it is inefficient to use relational database management systems to store time series.The first objective of this dissertation is to analyse the existent NoSQL data management solutions and then apply one of these solutions in the Windscanner.eu project. The second objective is to design, implement and test an e-Science platform to support RESTful web services that can be used to download or upload time series and a Web application that will be used by researchers to manage research objects.