Cloud Computing for Extracting Price Knowledge from Big Data

Customer price knowledge has been the object of considerable research in the past decades since the advent of online shopping. Furthermore, customers express online their personal opinions regarding the products or services they purchase, this activity becoming a habit for many people nowadays. However, due to the difficulty of analyzing such large datasets, extracting price knowledge from big data presents unique systems engineering and architectural challenges. The purpose of this paper is to analyze several existing solutions used for search and analysis of large volumes of data, with applicability in the retail field, and to present the results for price knowledge extraction from Big Data using Exalead Cloud View technology. The main contribution of this paper consists in the development of several connectors and a data model based on properties and patterns specific for price calculations.