BALLARD, Chuck et al. Data mart consolidation: getting control of your enterprise information. [en línea]. San José: IBM, 2005. ISBN 9780738493732. Disponible en: https://ebookcentral.proquest.com/lib/biblioucv/detail.action?docID=3306601
BECKNER, Mark. Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse. [en línea]. Boston: De G Prees, 2019. ISBN 1-5474-0129-X. Disponible en: https://research.ebsco.com/linkprocessor/plink?id=6a7a431b-baa8-322b-8481-efbe0f0438ea
CURTO, Josep. Introducción al business intelligence. [en línea]. Barcelona: UOC, 2017. ISBN 9788491166603. Disponible en: https://ebookcentral.proquest.com/lib/biblioucv/reader.action?docID=7051717&ppg=1
GARCÍA-ALSINA, Montserrat. Big data: Gestión y explotación de grandes volúmenes de datos. [en línea]. Barcelona: Universitat Oberta de Catalunya, 2017. ISBN 9788491167129. Disponible en: https://www.digitaliapublishing.com/viewepub?id=47390
GUIDA, Tony. Big data and machine learning in quantitative investment. [en línea]. 5a ed. John Wiley & Sons, 2019. ISBN 9781119522089. Disponible en: https://ebookcentral.proquest.com/lib/biblioucv/reader.action?docID=5614243&ppg=1
HURWITZ, Judith et al. Big data for dummies. [en línea]. Indianapolis: John Wiley & Sons, 2013. ISBN 9781118644010. Disponible en: https://ebookcentral.proquest.com/lib/biblioucv/reader.action?docID=1160914&ppg=1
KIMBALL, Ralph et al. The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence. [en línea]. Indianapolis: John Wiley & Sons, 2010. ISBN 9780470630532. Disponible en: https://ebookcentral.proquest.com/lib/biblioucv/detail.action?pq-origsite=primo&docID=484827
KIMBALL, Ralph et al. The data warehouse lifecycle toolkit. [en línea]. 2a ed. Indianapolis: John Wiley & Sons, 2008. ISBN 9781118075043. Disponible en: https://ebookcentral.proquest.com/lib/biblioucv/detail.action?docID=675005
KRAUSE, Hans-Ulrich y Dayanand ARORA. Key Performance Indicators for Sustainable Management: A Compendium Based on the “Balanced Scorecard Approach”. [en línea]. München: De Gruyter Oldenbourg, 2019. ISBN 9783110599343. Disponible en: https://research.ebsco.com/linkprocessor/plink?id=f02d6112-66cf-3c67-8a69-44d1674ccabc
MINELLI, Michael, Michele CHAMBERS y Ambiga DHIRAJ. Big data, big analytics emerging business intelligence and analytic trends for today’s businesses. [en línea]. Hoboken: John Wiley & Sons, 2013. ISBN 9781118225837. Disponible en: https://ebookcentral.proquest.com/lib/biblioucv/detail.action?docID=818100
MORTON, John, Contrib. Big data: opportunities and challenges. [en línea]. Swindon: BCS Learning & Development Limited, 2014. ISBN 9781780172620. Disponible en: https://ebookcentral.proquest.com/lib/biblioucv/reader.action?docID=1650370&ppg=1
MÜLLER, Sebastian. Big Data Analysen: Für den schnellen Einstieg. [en línea]. München: De Gruyter Oldenbourg, 2018. ISBN 9783110455618. Disponible en: https://search.ebscohost.com/login.aspx?direct=true&db=e000xww&AN=1905364&lang=es&site=ehost-live&ebv=EB&ppid=pp_C
NELSON, Kimberly, ed. Business Intelligence, Strategies and Ethics. [en línea]. New York: Nova Science Publishers, 2015. ISBN 9781634820646. Disponible en: https://research.ebsco.com/linkprocessor/plink?id=ead44b9d-3ce9-3be2-a62c-1156895e7b80
PIERSON, Lillian. Data science for dummies. [en línea]. 2a ed. Hoboken: John Wiley & Sons, 2017. ISBN 9781119327646. Disponible en: https://ebookcentral.proquest.com/lib/biblioucv/reader.action?docID=4812516&ppg=1
POWELL, Gavin. Oracle data warehouse tuning for 10g. [en línea]. Amsterdam: Elsevier Digital Press, 2005. ISBN 9781555583354. Disponible en: https://research.ebsco.com/linkprocessor/plink?id=fc63baae-9f72-37d2-a0ab-4cb5970af510
RADIVOJEVIC, Milos, et al. Mastering SQL Server 2017?: build smart and efficient database applications for your organization with SQL Server 2017. [en línea]. Birmingham: Packt Publishing, 2019. ISBN 9781838983208. Disponible en: https://search.ebscohost.com/login.aspx?direct=true&db=e000xww&AN=2237214&lang=es&site=ehost-live
RIOS, David y David GÓMEZ-ULLATE. Big data: Conceptos, tecnologías y aplicaciones. [en línea]. Madrid: CSIC / Los Libros de La Catarata, 2019. ISBN 9788400105358. Disponible en: https://www.digitaliapublishing.com/a/62763
LIANG, Ting-Peng, Xitong GUO, Kathy SHEN. Big Data Analytics for Business Intelligence. Expert Systems with Applications. [en línea]. vol. 111, 1. Disponible en: https://www.sciencedirect.com/science/article/pii/S0957417418303348
FLORES-CHACÓN, Erick et al. Educational innovation: the architecture of digital technologies as a catalyst for change in university teacher training. Scientific Reports [en línea]. London, 2023, vol. 13(1), 1-8. ISSN 2045-2322. Disponible en: https://www.proquest.com/scholarly-journals/educational-innovation-architecture-digital/docview/2894594078/se-2?accountid=37408
LIANG, Ting-Peng y Yu-His LIU. Research Landscape of Business Intelligence and Big Data analytics: a bibliometrics study. Expert Systems with Applications [en línea]. New York: Elsevier, 2018, vol. 111, 2-10. Disponible en: https://www.sciencedirect.com/science/article/pii/S0957417418303099
MARIANI, Marcello et al. Business intelligence and big data in hospitality and tourism: a systematic literature review. International Journal of Contemporary Hospitality Management [en línea]. Bradford: Emerald Publishing Limited, 2018, vol. 30(12), 3514–3554. ISSN 0959-6119. Disponible en: https://www.proquest.com/scholarly-journals/business-intelligence-big-data-hospitality/docview/2136021881/se-2?accountid=37408