Global Journal of Computer Science and Technology, C: Software & Data Engineering, Volume 22 Issue 2

Global Journal of Computer Science and Technology: C Software & Data Engineering Volume 22 Issue 2 Version 1.0 Year 2022 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Online ISSN: 0975-4172 & Print ISSN: 0975-4350 Integration of the Big Data Environment in a Financial Sector Entity to Optimize Products, Services and Decision-Making By Ulises Roman Concha , José Huapaya Vásquez, Guillermo Morales Romero & Dominga Cano Ccoa National University of Juliaca Abstract- This article describes the integration from big data environment in the management of products and services from a banking entity with optimizing financial products and decision- making. Actually, there are many financial entities where their different business areas have isolated databases, causing greater consumption of computer resources, maintainability and, in many cases, process delays. This problem becomes critical specially if there is a transnational company because data needs can vary geographically despite being the same functional area. The Data Architecture area proposed guidelines such as centralizing information in a big data environment, ensuring progressive accessibility from users for new financial analytics initiatives and thereby reducing isolated data. The agile, Scrum framework supported the advanced analytics pilot which comprising developments in the data ingestion layer (data lake) through the distributed processing from Apache Spark; and information consumption through Sandboxes, which one, users performing the analysis, visualization and prediction from data. Keywords: big data, banking entity, financial sector, decisión-making, sandbox, data lake, scrum, spark. GJCST-C Classification: DDC Code: 005.7 LCC Code: QA76.9.B45 IntegrationoftheBigDataEnvironmentinaFinancialSectorEntitytoOptimizeProductsServicesandDecisionMaking Strictly as per the compliance and regulations of: © 2022. Ulises Roman Concha, José Huapaya Vásquez, Guillermo Morales Romero & Dominga Cano Ccoa. This research/review article is distributed under the terms of the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BYNCND 4.0). You must give appropriate credit to authors and reference this article if parts of the article are reproduced in any manner. Applicable licensing terms are at https://creativecommons.org/licenses/by-nc-nd/4.0/.

RkJQdWJsaXNoZXIy NTg4NDg=