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Original scientific paper

SPATIO - TEMPORAL TYPES AND DATA ANALYSIS IN BIG DATA PARADIGM

By
Mladen Amović ,
Mladen Amović
Contact Mladen Amović

Faculty of Architecture, Civil Engineering and Geodesy, University of Banja Luka , Banja Luka , Bosnia and Herzegovina

Miro Govedarica ,
Miro Govedarica

University of Novi Sad , Novi Sad , Serbia

Vladimir Pajić ,
Vladimir Pajić

University of Novi Sad , Novi Sad , Serbia

Slavko Vasiljević
Slavko Vasiljević

Faculty of Architecture, Civil Engineering and Geodesy, University of Banja Luka , Banja Luka , Bosnia and Herzegovina

Abstract

The model for managing large volumes of spatio-temporal data is implemented in Apache Spark platform for storing and processing large sets of data. The algorithms for processing spatio-temporal data are defined according to the rules of Spark SQL programming model and relational operations on dataframes (specialized system of data frames) using domain specific language (domain - specific - language → DSL). With the introduction of spatio-temporal data types, a standardized approach to a Big Data paradigm is enabled.

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