Spatio-temporal data serves as a foundation for most location-based applications
nowadays. To handle spatio-temporal data, an appropriate methodology needs to be …

Changing a database schema is a fact of life in information systems, as a response to
changes inside the enterprise (eg, new users' requirements, correction of errors in the …

The construction sector has difficulty in catching the rapidly developing technology era.
While the sectors are rapidly adapting themselves to the new era, firms that do not invest in …

The significance of distributed data warehouses is to initiate the proliferation of various
analytical applications. However, with the increase of ubiquitous devices, it is likely that …

A data warehouse is considered a key aspect of success for any decision support system.
Research on temporal databases have produced important results in this field, and data …

Nowadays, companies are focusing on overhauling their data architecture, consolidating
data and discarding legacy systems. Big data has a great impact on businesses since it …

Temporal data is omnipresent and essential for applications in information management, as
it records the progression of information that is either slowly-changing or continuously …

The evolution of data management systems has witnessed a paradigm shift towards
dynamic and temporal representations of relationships. Graph databases, positioned as key …

The purpose of this study was to design and analysis on data warehouse of personnel
administration system using time series. The success of the company in performing its …

Abstract Changes involving the database schema are unavoidable events that sometimes
occur in data-centric systems, due to many reasons like evolution of user requirements …