This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Wang, L. Heterogeneous Data and Big Data Analytics. – Automatic Control and Information Sciences, Vol. 3, 2017, No 1, pp. 8-15.Search in Google Scholar
Gandomi, A., M. Haider. Beyond the Hype: Big Data Concepts, Methods, and Analytics. – International Journal of Information Management, Vol. 35, 2015, No 2, pp. 137-144.Search in Google Scholar
Baig, M. I., L. Shuib, E. Yadegaridehkordi. Big Data Adoption: State of the Art and Research Challenges. – Information Processing & Management, Vol. 56, 2019, No 6, 102095.Search in Google Scholar
Elgendy, N., A. Elragal. Big Data Analytics: A Literature Review Paper. – In: Proc. of 14th Industrial Conference Advances in Data Mining Applications and Theoretical Aspects (ICDM’14), St. Petersburg, Russia, 16-20 July 2014, Proceedings 14, 2014.Search in Google Scholar
Venkatram, K., M. A. Geetha. Review on Big Data & Analytics – Concepts, Philosophy, Process and Applications. – Cybernetics and Information Technologies, Vol. 17, 2017, No 2, pp. 3-27.Search in Google Scholar
Hariri, R. H., E. M. Fredericks, K. M. Bowers. Uncertainty in Big Data Analytics: Survey, Opportunities, and Challenges. – Journal of Big Data, Vol. 6, 2019, No 1, pp. 1-16.Search in Google Scholar
Sun, J., W. Gan, Z. Chen, J. Li, P. S. Yu. Big Data Meets Metaverse: A Survey. – arXiv Preprint arXiv:2210.16282, 2022.Search in Google Scholar
Zhao, X. A Study on e-Commerce Recommender System Based on Big Data. – In: Proc. of 4th IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA’19), 2019.Search in Google Scholar
Yan, B., C. Wu, R. Yu, B. Yu, N. Shi, X. Zhou, Y. Yu. Big Data-Based e-Commerce Transaction Information Collection Method. – Complexity, Vol. 2021, 2021, pp. 1-11.Search in Google Scholar
Ghani, N. A., S. Hamid, I. A. T. Hashem, E. Ahmed. Social Media Big Data Analytics: A Survey. – Computers in Human Behavior, Vol. 101, 2019, pp. 417-428.Search in Google Scholar
Naeem, M., T. Jamal, J. Diaz-Martinez, S. A. Butt, N. Montesano, M. I. Tariq, E. De-la-Hoz-Franco, E. De-La-Hoz-Valdiris. Trends and Future Perspective Challenges in Big Data. – In: Proc. of Advances in Intelligent Data Analysis and Applications: 2019, Arad, Romania, 2022.Search in Google Scholar
Pramanik, S., S. K. Bandyopadhyay. Analysis of Big Data. – In: Encyclopedia of Data Science and Machine Learning. IGI Global, 2023, pp. 97-115.Search in Google Scholar
Alzoubi, Y. I., A. Aljaafreh. Blockchain-Fog Computing Integration Applications: A Systematic Review. – Cybernetics and Information Technologies, Vol. 23, 2023, No 1, pp. 3-37.Search in Google Scholar
Dai, H.-N., H. Wang, G. Xu, J. Wan, M. Imran. Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies. – Enterprise Information Systems, Vol. 14, 2020, No 9-10, pp. 1279-1303.Search in Google Scholar
Chen, H., R. H. Chiang, V. C. Storey. Business Intelligence and Analytics: From Big Data to Big Impact. – MIS Quarterly, 2012, pp. 1165-1188.Search in Google Scholar
Grover, P., A. K. Kar. Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature. – Global Journal of Flexible Systems Management, Vol. 18, 2017, pp. 203-229.Search in Google Scholar
Smith, G. J., L. Bennett Moses, J. Chan. The Challenges of Doing Criminology in the Big Data Era: Towards a Digital and Data-Driven Approach. – The British Journal of Criminology, Vol. 57, 2017, No 2, pp. 259-274.Search in Google Scholar
Sestino, A., M. I. Prete, L. Piper, G. Guido. Internet of Things and Big Data as Enablers for Business Digitalization Strategies. – Technovation, Vol. 98, 2020, 102173.Search in Google Scholar
Morawiec, P., A. Sołtysik-Piorunkiewicz. Cloud Computing, Big Data, and Blockchain Technology Adoption in Erp Implementation Methodology. – Sustainability, Vol. 14, No 7, 2022, 3714.Search in Google Scholar
Saadoon, M., S. H. A. Hamid, H. Sofian, H. H. Altarturi, Z. H. Azizul, N. Nasuha. Fault Tolerance in Big Data Storage and Processing Systems: A Review on Challenges and Solutions. – Ain Shams Engineering Journal, Vol. 13, 2022, No 2, 101538.Search in Google Scholar
Mehmood, H., E. Gilman, M. Cortes, P. Kostakos, A. Byrne, K. Valta, S. Tekes, J. Riekki. Implementing Big Data Lake for Heterogeneous Data Sources. – In: Proc. of 35th IEEE International Conference on Data Engineering Workshops (ICDEW’19), 2019.Search in Google Scholar
Younas, M. Research Challenges of Big Data. – Service Oriented Computing and Applications, Vol. 13, 2019, pp. 105-107.Search in Google Scholar
Tommasini, R., P. Bonte, F. Spiga, E. Della Valle. Taming Variety and Velocity. – In: Streaming Linked Data: From Vision to Practice. Springer, 2022, pp. 41-67.Search in Google Scholar
Mohamed, A., M. K. Najafabadi, Y. B. Wah, E. A. K. Zaman, R. Maskat. The State of the Art and Taxonomy of Big Data Analytics: View from New Big Data Framework. – Artificial Intelligence Review, Vol. 53, 2020, pp. 989-1037.Search in Google Scholar
Kolajo, T., O. Daramola, A. Adebiyi. Big Data Stream Analysis: A Systematic Literature Review. – Journal of Big Data, Vol. 6, 2019, No 1, 47.Search in Google Scholar
Arora, Y., D. Goyal. Review of Data Analysis Framework for Variety of Big Data. – In: Proc. of Emerging Trends in Expert Applications and Security (ICETEAS’18), 2019.Search in Google Scholar
Watson, H. J. Update Tutorial: Big Data Analytics: Concepts, Technology, and Applications. – Communications of the Association for Information Systems, Vol. 44, No 1, 2019, 21.Search in Google Scholar
Lu, J., I. Holubová. Multi-Model Databases: A New Journey to Handle the Variety of Data. – ACM Computing Surveys (CSUR), Vol. 52, 2019, No 3, pp. 1-38.Search in Google Scholar
Batini, C., A. Rula, M. Scannapieco, G. Viscusi. From Data Quality to Big Data Quality. – Journal of Database Management (JDM), Vol. 26, 2015, No 1, pp. 60-82.Search in Google Scholar
Das, T. K., P. M. Kumar. Big Data Analytics: A Framework for Unstructured Data Analysis. – International Journal of Engineering Science & Technology, Vol. 5, 2013, No 1, 153.Search in Google Scholar
Adnan, K., R. Akbar. Limitations of Information Extraction Methods and Techniques for Heterogeneous Unstructured Big Data. – International Journal of Engineering Business Management, Vol. 11, 2019, 1847979019890771.Search in Google Scholar
Oussous, A., F.-Z. Benjelloun, A. A. Lahcen, S. Belfkih. Big Data Technologies: A Survey. – Journal of King Saud University-Computer and Information Sciences, Vol. 30, 2018, No 4, pp. 431-448.Search in Google Scholar
Sandhu, A. K. Big Data with Cloud Computing: Discussions and Challenges. – Big Data Mining and Analytics, Vol. 5, 2021, No 1, pp. 32-40.Search in Google Scholar
Cappa, F., R. Oriani, E. Peruffo, I. McCarthy. Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance. – Journal of Product Innovation Management, Vol. 38, 2021, No 1, pp. 49-67.Search in Google Scholar
Ghasemaghaei, M. Understanding the Impact of Big Data on Firm Performance: The Necessity of Conceptually Differentiating among Big Data Characteristics. – International Journal of Information Management, Vol. 57, 2021, 102055.Search in Google Scholar
Shukla, A. K., M. Yadav, S. Kumar, P. K. Muhuri. Veracity Handling and Instance Reduction in Big Data Using Interval Type-2 Fuzzy Sets. – Engineering Applications of Artificial Intelligence, Vol. 88, 2020, 103315.Search in Google Scholar
Cavanillas, J. M., E. Curry, W. Wahlster. The Big Data Value Opportunity. – New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe, 2016, pp. 3-11.Search in Google Scholar
Gandomi, A. H., F. Chen, L. Abualigah. Machine Learning Technologies for Big Data Analytics. – MDPI, Electronics, Vol. 11, 2022, Issue 3, 421.Search in Google Scholar
Monino, J.-L. Data Value, Big Data Analytics, and Decision-Making. – Journal of the Knowledge Economy, Vol. 12, 2021, pp. 256-267.Search in Google Scholar
Gandomi, A. H., F. Chen, L. Abualigah. Big Data Analytics Using Artificial Intelligence. – MDPI, Electronics, Vol. 12, 2023, Issue 1, 957.Search in Google Scholar
Casado, R., M. Younas. Emerging Trends and Technologies in Big Data Processing. – Concurrency and Computation: Practice and Experience, Vol. 27, 2015, No 8, pp. 2078-2091.Search in Google Scholar
Lipic, T., K. Skala, E. Afgan. Deciphering Big Data Stacks: An Overview of Big Data Tools. – Big Data Analytics: Challenges and Opportunities (BDAC-14), 2014.Search in Google Scholar
Rao, T. R., P. Mitra, R. Bhatt, A. Goswami. The Big Data System, Components, Tools, and Technologies: A Survey. – Knowledge and Information Systems, Vol. 60, 2019, pp. 1165-1245.Search in Google Scholar
Drigas, A. S., P. Leliopoulos. The Use of Big Data in Education. – International Journal of Computer Science Issues (IJCSI), Vol. 11, No 5, 2014, 58.Search in Google Scholar
Sin, K., L. Muthu. Application of Big Data in Education Data Mining and Learning Analytics – A Literature Review. – ICTACT Journal on Soft Computing, Vol. 5, 2015, No 4, pp. 1035-1049.Search in Google Scholar
Klašnja-Milićević, A., M. Ivanović, Z. Budimac. Data Science in Education: Big Data and Learning Analytics. – Computer Applications in Engineering Education, Vol. 25, 2017, No 6, pp. 1066-1078.Search in Google Scholar
Beerkens, M. An Evolution of Performance Data in Higher Education Governance: A Path towards a “Big Data” Era? – Quality in Higher Education, Vol. 28, 2022, No 1, pp. 29-49.Search in Google Scholar
Shah, T. H. Big Data Analytics in Higher Education. – Research Anthology on Big Data Analytics, Architectures, and Applications, 2022, pp. 1275-1293.Search in Google Scholar
Wang, L., R. Chen, S. Li, Y. Ma. Development Planning Path of Integration of Education, Production, and Education from the Perspective of Big Data Information Fusion. – In: Proc. of 3rd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC’22), 2023.Search in Google Scholar
Guo, C., J. Chen. Big Data Analytics in Healthcare. – In: Knowledge Technology and Systems: Toward Establishing Knowledge Systems Science. Springer, 2023, pp. 27-70.Search in Google Scholar
Vesoulis, Z. A., A. N. Husain, F. S. Cole. Improving Child Health through Big Data and Data Science. – Pediatric Research, Vol. 93, No 2, 2023, pp. 342-349.Search in Google Scholar
Benzidia, S., O. Bentahar, J. Husson, N. Makaoui. Big Data Analytics Capability in Healthcare Operations and Supply Chain Management: The Role of Green Process Innovation. – Annals of Operations Research, 2023, pp. 1-25.Search in Google Scholar
Al-Dmour, H., N. Saad, E. Basheer Amin, R. Al-Dmour, A. Al-Dmour. The Influence of the Practices of Big Data Analytics Applications on Bank Performance: Filed Study. – VINE Journal of Information and Knowledge Management Systems, Vol. 53, 2023, No 1, pp. 119-141.Search in Google Scholar
Wahyudi, M., V. Meilinda, A. Khoirunisa. The Digital Economy’s Use of Big Data. – International Transactions on Artificial Intelligence, Vol. 1, 2022, No 1, pp. 62-70.Search in Google Scholar
Razzaq, A., X. Yang. Digital Finance and Green Growth in China: Appraising Inclusive Digital Finance Using Web Crawler Technology and Big Data. – Technological Forecasting and Social Change, Vol. 188, 2023, 122262.Search in Google Scholar
Lutfi, A., M. Alrawad, A. Alsyouf, M. A. Almaiah et al. Drivers and Impact of Big Data Analytic Adoption in the Retail Industry: A Quantitative Investigation Applying Structural Equation Modeling. – Journal of Retailing and Consumer Services, Vol. 70, 2023, 103129.Search in Google Scholar
Arulkumar, V., S. Sridhar, G. Kalpana, K. Guruprakash. Real-Time Big Data Analytics for Improving Sales in the Retail Industry via the Use of Internet of Things Beacons. – In: Proc. of Expert Clouds and Applications (ICOECA’22), Springer, 2022, pp. 111-126.Search in Google Scholar
Kastouni, M. Z., A. A. Lahcen. Big Data Analytics in Telecommunications: Governance, Architecture and Use Cases. – Journal of King Saud University-Computer and Information Sciences, Vol. 34, 2022, No 6, pp. 2758-2770.Search in Google Scholar
Moumtzidis, I., M. Kamariotou, F. Kitsios. Digital Transformation Strategies Enabled by Internet of Things and Big Data Analytics: The Use-Case of Telecommunication Companies in Greece. – Information, Vol. 13, 2022, No 4, 196.Search in Google Scholar
Li, Q., J. Sun. Research on the Characteristics of Inbound Tourism in Yangtze River Delta Region Based on Big Data. – In: Proc. of International Conference on Cloud Computing, Big Data and Internet of Things (3CBIT’22), 2022.Search in Google Scholar
Bui, V., A. R. Alaei, H. Q. Vu, G. Li, R. Law. Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data. – Journal of Travel Research, Vol. 61, 2022, No 6, pp. 1287-1307.Search in Google Scholar
Aljojo, N. Examining Heterogeneity Structured on a Large Data Volume with Minimal Incompleteness. – ARO-The Scientific Journal of Koya University, Vol. 9, 2021, No 2, pp. 30-37.Search in Google Scholar
Alma’aitah, W. Z. a., A. Z. Talib, M. A. Osman. Opportunities and Challenges in Enhancing Access to Metadata of Cultural Heritage Collections: A Survey. – Artificial Intelligence Review, Vol. 53, 2020, pp. 3621-3646.Search in Google Scholar
Kumar, G., S. Basri, A. A. Imam, S. A. Khowaja, L. F. Capretz, A. O. Balogun. Data Harmonization for Heterogeneous Datasets: A Systematic Literature Review. – Applied Sciences, Vol. 11, 2021, No 17, 8275.Search in Google Scholar
Asprino, L., E. Daga, A. Gangemi, P. Mulholland. Knowledge Graph Construction with a Façade: A Unified Method to Access Heterogeneous Data Sources on the Web. – ACM Transactions on Internet Technology, Vol. 23, No 1, 2023, pp. 1-31.Search in Google Scholar
Maharana, K., S. Mondal, B. Nemade. A Review: Data Pre-Processing and Data Augmentation Techniques. – Global Transitions Proceedings, Vol. 3, 2022, No 1, pp. 91-99.Search in Google Scholar
Wani, M. A., S. Jabin. Big Data: Issues, Challenges, and Techniques in Business Intelligence. – In: Proc. of Big Data Analytics: Proceedings of Computer Society of India, 2015, 2018.Search in Google Scholar
Pastorino, R., C. De Vito, G. Migliara, K. Glocker, I. Binenbaum, W. Ricciardi, S. Boccia. Benefits and Challenges of Big Data in Healthcare: An Overview of the European Initiatives. – European Journal of Public Health, Vol. 29, 2019, No Supplement_3, pp. 23-27.Search in Google Scholar
Javed, M. H. Challenges and Requirements of Heterogenous Research Data Management in Environmental Sciences: A Qualitative Study. Master’s Thesis, University of Oulu, Information Processing Science, 2023.Search in Google Scholar
Wenz, V., A. Kesper, G. Taentzer. Clustering Heterogeneous Data Values for Data Quality Analysis. – ACM Journal of Data and Information Quality, 2023.Search in Google Scholar
Amará, J., V. Ströele, R. Braga, M. Dantas, M. Bauer. Integrating Heterogeneous Stream and Historical Data Sources Using SQL. – Journal of Information and Data Management, Vol. 13, No 2, 2022.Search in Google Scholar
Kumar, A., S. R. Sangwan, A. Nayyar. Multimedia Social Big Data: Mining. – Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions, 2020, pp. 289-321.Search in Google Scholar
Krishnamurthi, R., A. Kumar, D. Gopinathan, A. Nayyar, B. Qureshi. An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques. – Sensors, Vol. 20, 2020, No 21, 6076.Search in Google Scholar
Balakrishna, S., M. Thirumaran, V. K. Solanki. A Framework for IoT Sensor Data Acquisition and Analysis. – EAI Endorsed Transactions on Internet of Things, Vol. 4, 2018, No 16, pp. e4-e4.Search in Google Scholar
Valdeolmillos, D., Y. Mezquita, A. R. Ludeiro. Sensing as a Service: An Architecture Proposal for Big Data Environments in Smart Cities. – In: Proc. of 0th International Symposium on Ambient Intelligence – Software and Applications, Vol. 1, 2020.Search in Google Scholar
Goldstein, I., C. S. Spatt, M. Ye. Big Data in Finance. – The Review of Financial Studies, Vol. 34, 2021, No 7, pp. 3213-3225.Search in Google Scholar
Cheng, X., S. Liu, X. Sun, Z. Wang, H. Zhou, Y. Shao, H. Shen. Combating Emerging Financial Risks in the Big Data Era: A Perspective Review. – Fundamental Research, Vol. 1, 2021, No 5, pp. 595-606.Search in Google Scholar
Agrawal, R., S. Prabakaran. Big Data in Digital Healthcare: Lessons Learnt and Recommendations for General Practice. – Heredity, Vol. 124, 2020, No 4, pp. 525-534.Search in Google Scholar
Pise, A. A. An Introduction to Big Data Analytics Techniques in Healthcare. – In: S. K. Ohal, S. K. Pani, S Prasad, S. K. Mohapatra, Eds. Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics: Concepts, Methodologies, Tools and Applications, 2022, pp. 1-20.Search in Google Scholar
Gončarovs, P. Data Analytics in Crm Processes: A Literature Review. – Information Technology and Management Science, Vol. 20, 2017, No 1, pp. 103-108.Search in Google Scholar
Cimiluca, K. Honors Thesis Marketing: Dr. Lutz Customer Relationship Management 1. Introduction of Customer Relationship Management. 2010.Search in Google Scholar
Kunz, W., L. Aksoy, Y. Bart, K. Heinonen, S. Kabadayi, F. V. Ordenes, M. Sigala, D. Diaz, B. Theodoulidis. Customer Engagement in a Big Data World. – Journal of Services Marketing, Vol. 31, 2017, No 2, pp. 161-171.Search in Google Scholar
Buttle, F., S. Maklan. Customer Relationship Management: Concepts and Technologies. – Routledge, 2019.Search in Google Scholar
Darvazeh, S. S., I. R. Vanani, F. M. Musolu. Big Data Analytics and Its Applications in Supply Chain Management. – New Trends in the Use of Artificial Intelligence for the Industry, Vol. 4, 2020, 175.Search in Google Scholar
Garcia-Arroyo, J., A. Osca. Big Data Contributions to Human Resource Management: A Systematic Review. – The International Journal of Human Resource Management, Vol. 32, 2021, No 20, pp. 4337-4362.Search in Google Scholar
Verma, S., V. Singh, S. S. Bhattacharyya. Do Big Data-Driven Hr Practices Improve Hr Service Quality and Innovation Competency of SMEs. – International Journal of Organizational Analysis, Vol. 29, 2021, No 4, pp. 950-973.Search in Google Scholar
Xiao, J. Iot Applications in the Innovation System of Enterprise Human Resource Performance Management Based on the Integration of Big Data. – Wireless Communications and Mobile Computing, Vol. 2022, 2022.Search in Google Scholar
Chergui, N., M. T. Kechadi. Data Analytics for Crop Management: A Big Data View. – Journal of Big Data, Vol. 9, 2022, No 1, pp. 1-37.Search in Google Scholar
Sun, A. Y., B. R. Scanlon. How Can Big Data and Machine Learning Benefit Environment and Water Management: A Survey of Methods, Applications, and Future Directions. – Environmental Research Letters, Vol. 14, 2019, No 7, 073001.Search in Google Scholar
Chergui, N., M.-T. Kechadi, M. McDonnell. The Impact of Data Analytics in Digital Agriculture: A Review. – In: Proc. of International Multi-Conference on Organization of Knowledge and Advanced Technologies (OKTA’20), 2020.Search in Google Scholar
Kshetri, N., D. C. Rojas Torres, H. Besada, M. A. Moros Ochoa. Big Data as a Tool to Monitor and Deter Environmental Offenders in the Global South: A Multiple Case Study. – Sustainability, Vol. 12, 2020, No 24, 10436.Search in Google Scholar
Daniel, B. K. Big Data in Higher Education: The Big Picture. – Big Data and Learning Analytics in Higher Education: Current Theory and Practice, 2017, pp. 19-28.Search in Google Scholar
Ang, K. L.-M., F. L. Ge, K. P. Seng. Big Educational Data & Analytics: Survey, Architecture, and Challenges. – IEEE Access, Vol. 8, 2020, pp. 116392-116414.Search in Google Scholar
Dahdouh, K., A. Dakkak, L. Oughdir, F. Messaoudi. Big Data for Online Learning Systems. – Education and Information Technologies, Vol. 23, 2018, pp. 2783-2800.Search in Google Scholar
Chen, N.-S., C. Yin, P. Isaias, J. Psotka. Educational Big Data: Extracting Meaning from Data for Smart Education. – Taylor & Francis, 2020, pp. 142-147.Search in Google Scholar
Zhu, L., F. R. Yu, Y. Wang, B. Ning, T. Tang. Big Data Analytics in Intelligent Transportation Systems: A Survey. – IEEE Transactions on Intelligent Transportation Systems, Vol. 20, 2018, No 1, pp. 383-398.Search in Google Scholar
Kaffash, S., A. T. Nguyen, J. Zhu. Big Data Algorithms and Applications in Intelligent Transportation System: A Review and Bibliometric Analysis. – International Journal of Production Economics, Vol. 231, 2021, 107868.Search in Google Scholar
Ahmed, S., Y. Abdel-Hamid, H. A. Hefny. Traffic Flow Prediction Using Big Data and GIS: A Survey of Data Sources, Frameworks, Challenges, and Opportunities. – International Journal of Computing and Digital Systems, Vol. 13, 2023, No 1, p. 1.Search in Google Scholar
Pulikottil, T., L. A. Estrada-Jimenez, J. J. P. Abadía, A. Carrera-Rivera, A. Torayev, H. U. Rehman, F. Mo, S. Nikghadam-Hojjati, J. Barata. Big Data Life Cycle in Shop-Floor – Trends and Challenges. – IEEE Access, 2023.Search in Google Scholar
Wang, J., C. Xu, J. Zhang, R. Zhong. Big Data Analytics for Intelligent Manufacturing Systems: A Review. – Journal of Manufacturing Systems, Vol. 62, 2022, pp. 738-752.Search in Google Scholar
Xia, C., Z. Pan, J. Polden, H. Li, Y. Xu, S. Chen, Y. Zhang. A Review on Wire Arc Additive Manufacturing: Monitoring, Control and a Framework of Automated System. – Journal of Manufacturing Systems, Vol. 57, 2020, pp. 31-45.Search in Google Scholar
Belhadi, A., K. Zkik, A. Cherrafi, M. Y. Sha’ri. Understanding Big Data Analytics for Manufacturing Processes: Insights from Literature Review and Multiple Case Studies. – Computers & Industrial Engineering, Vol. 137, 2019, 106099.Search in Google Scholar
Phuyal, S., D. Bista, R. Bista. Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review. – Sustainable Futures, Vol. 2, 2020, 100023.Search in Google Scholar
Kadadi, A., R. Agrawal, C. Nyamful, R. Atiq. Challenges of Data Integration and Interoperability in Big Data. – In: Proc. of IEEE International Conference on Big Data (Big Data’14), 2014.Search in Google Scholar
Siddiqa, A., I. A. T. Hashem, I. Yaqoob, M. Marjani, S. Shamshirband, A. Gani, F. Nasaruddin. A Survey of Big Data Management: Taxonomy and State-of-the-Art. – Journal of Network and Computer Applications, Vol. 71, 2016, pp. 151-166.Search in Google Scholar
Samuelsen, J., W. Chen, B. Wasson. Integrating Multiple Data Sources for Learning Analytics – Review of Literature. – Research and Practice in Technology Enhanced Learning, Vol. 14, 2019, pp. 1-20.Search in Google Scholar
Bizer, C., P. Boncz, M. L. Brodie, O. Erling. The Meaningful Use of Big Data: Four Perspectives – Four Challenges. – ACM Sigmod Record, Vol. 40, 2012, No 4, pp. 56-60.Search in Google Scholar
Roh, Y., G. Heo, S. E. Whang. A Survey on Data Collection for Machine Learning: A Big Data-Ai Integration Perspective. – IEEE Transactions on Knowledge and Data Engineering, Vol. 33, 2019, No 4, pp. 1328-1347.Search in Google Scholar
Mhammedi, S., N. Gherabi. Heterogeneous Integration of Big Data Using Semantic Web Technologies. – In: Intelligent Systems in Big Data, Semantic Web and Machine Learning, Springer, 2021, pp. 167-177.Search in Google Scholar
Merelli, I., H. Pérez-Sánchez, S. Gesing, D. D’Agostino. Managing, Analysing, and Integrating Big Data in Medical Bioinformatics: Open Problems and Future Perspectives. – In: BioMed Research International. Vol. 2014. 2014.Search in Google Scholar
Siva Rama Rao, A. V., R. Dhana Lakshmi. A Survey on Challenges in Integrating Big Data. – In: Proc. of 2nd International Conference on Intelligent Computing and Applications (ICICA’15), 2017.Search in Google Scholar
Yousfi, S., D. Chiadmi, M. Rhanoui. Smart Big Data Framework for Insight Discovery. – Journal of King Saud University – Computer and Information Sciences, Vol. 34, 2022, No 10, pp. 9777-9792.Search in Google Scholar
De Souza Campos, V. V., J. D. Brancher, F. P. Farias, J. L. V. M. Mioni, P. L. G. Brahim. Review and Comparison of Works on Heterogeneous Data and Semantic Analysis in Big Data. – Semina: Ciências Exatas e Tecnológicas, Vol. 42, 2021, No 1, pp. 113-128.Search in Google Scholar
Costa, F. S., S. M. Nassar, S. Gusmeroli, R. Schultz, A. G. Conceição, M. Xavier, F. Hessel, M. A. Dantas. Fasten Iiot: An Open Real-Time Platform for Vertical, Horizontal and End-to-End Integration. – Sensors, Vol. 20, 2020, No 19, 5499.Search in Google Scholar
Asano, Y., D.-F. Herr, Y. Ishihara, H. Kato, K. Nakano, M. Onizuka, Y. Sasaki. Flexible Framework for Data Integration and Update Propagation: System Aspect. – In: Proc. of IEEE International Conference on Big Data and Smart Computing (BigComp’19), 2019.Search in Google Scholar
Brown, K. S., D. I. Spivak, R. Wisnesky. Categorical Data Integration for Computational Science. – Computational Materials Science, Vol. 164, 2019, pp. 127-132.Search in Google Scholar
Noaman, M., M. S. Khan, M. F. Abrar, S. Ali, A. Alvi, M. A. Saleem. Challenges in Integration of Heterogeneous Internet of Things. – In: Scientific Programming. Vol. 2022. 2022.Search in Google Scholar
Dong, X. L., D. Srivastava. Big Data Integration. – In: Proc. of 29th IEEE International Conference on Data Engineering (ICDE’13), 2013.Search in Google Scholar
Fathy, N., W. Gad, N. Badr. A Unified Access to Heterogeneous Big Data through Ontology-Based Semantic Integration. – In: Proc. of 9th International Conference on Intelligent Computing and Information Systems (ICICIS’19), 2019.Search in Google Scholar
Ahamed, B., T. Ramkumar. Data Integration-Challenges, Techniques, and Future Directions: A Comprehensive Study. – Indian Journal of Science and Technology, Vol. 9, 2016, No 44, pp. 1-9.Search in Google Scholar
Hendler, J. Data Integration for Heterogenous Datasets. – Big Data, Vol. 2, 2014, No 4, pp. 205-215.Search in Google Scholar
Nargesian, F., E. Zhu, R. J. Miller, K. Q. Pu, P. C. Arocena. Data Lake Management: Challenges and Opportunities. – Proceedings of the VLDB Endowment, Vol. 12, 2019, No 12, pp. 1986-1989.Search in Google Scholar
Saes, K. R. Abordagem Para Integração Automática de Dados Estruturados E Não Estruturados Em Um Contexto Big Data. – Universidade de São Paulo, 2018.Search in Google Scholar
Jayashree, G., C. Priya. Data Integration with Xml Etl Processing. – In: Proc. of International Conference on Computer Science, Engineering and Applications (ICCSEA’20), 2020.Search in Google Scholar
Hu, H., Y. Wen, T.-S. Chua, X. Li. Toward Scalable Systems for Big Data Analytics: A Technology Tutorial. – IEEE Access, Vol. 2, 2014, pp. 652-687.Search in Google Scholar
Zgurovsky, M. Z., Y. P. Zaychenko. Big Data: Conceptual Analysis and Applications. Springer, 2020.Search in Google Scholar
Wu, Y., J. Wu. Research on Decision Support System of Automobile Service Based on Distributed Data Warehouse. – In: Proc. of 2nd International Conference on Digital Society and Intelligent Systems (DSInS’22), 2023.Search in Google Scholar
Arshad, M., M. N. Brohi, T. R. Soomro, T. M. Ghazal, H. M. Alzoubi, M. Alshurideh. NoSQL: Future of Big Data Analytics Characteristics and Comparison with Rdbms. – In: The Effect of Information Technology on Business and Marketing Intelligence Systems, Springer, 2023, pp. 1927-1951.Search in Google Scholar
Saddad, E., A. El-Bastawissy, H. M. Mokhtar, M. Hazman. Lake Data Warehouse Architecture for Big Data Solutions. – International Journal of Advanced Computer Science and Applications, Vol. 11, No 8, 2020.Search in Google Scholar
Sindhu, C., N. P. Hegde. Handling Complex Heterogeneous Healthcare Big Data. – International Journal of Computational Intelligence Research, Vol. 13, 2017, No 5, pp. 1201-1227.Search in Google Scholar
Di Tria, F., E. Lefons, F. Tangorra. Evaluation of Data Warehouse Design Methodologies in the Context of Big Data. – In: Proc. of 19th International Conference Big Data Analytics and Knowledge Discovery, France, 28-31 August 2017, Proceedings 19, 2017.Search in Google Scholar
Dhaouadi, A., K. Bousselmi, M. M. Gammoudi, S. Monnet, S. Hammoudi. Data Warehousing Process Modeling from Classical Approaches to New Trends: Main Features and Comparisons. – Data, Vol. 7, 2022, No 8, 113.Search in Google Scholar
Balti, H., N. Mellouli, A. Ben Abbes, I. R. Farah, Y. Sang, M. Lamolle. Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data. – In: Track 2: Methodologies and Education, 2021.Search in Google Scholar
Solodovnikova, D., L. Niedrite. An Approach to Handle Big Data Warehouse Evolution. – arXiv preprint arXiv:1809.04284, 2018.Search in Google Scholar
Gu, Z., F. Corcoglioniti, D. Lanti, A. Mosca, G. Xiao, J. Xiong, D. Calvanese. A Systematic Overview of Data Federation Systems. – Semantic Web, No Preprint, 2022, pp. 1-59.Search in Google Scholar
Bologa, A.-R., R. Bologa. A Perspective on the Benefits of Data Virtualization Technology. – Informatica Economica, Vol. 15, 2011, No 4.Search in Google Scholar
Bouarar, S., L. Bellatreche, S. Jean, M. Baron. Do Rule-Based Approaches Still Make Sense in Logical Data Warehouse Design? – In: Proc. of East European Conference on Advances in Databases and Information Systems, 2014.Search in Google Scholar
Mami, M. N., D. Graux, S. Scerri, H. Jabeen, S. Auer, J. Lehmann. Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources. – In: Proc. of 18th International Semantic Web Conference (ISWC’19), Auckland, New Zealand, 26-30 October 2019, Proceedings, Part II 18, 2019.Search in Google Scholar
Li, W., Z. Feng, W. Mayer, G. Grossmann, A. K. Kashefi, M. Stumptner. Fedsa: A Data Federation Platform for Law Enforcement Management. – In: Proc. of 22nd IEEE International Enterprise Distributed Object Computing Conference (EDOC’18), 2018.Search in Google Scholar
Kalamaras, I., N. Kaklanis, K. Votis, D. Tzovaras. Towards Big Data Analytics in Large-Scale Federations of Semantically Heterogeneous IoT Platforms. – In: Proc. of International Workshops Artificial Intelligence Applications and Innovations: AIAI 2018 IFIP WG 12.5, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece, 25-27 May 2018, Proceedings 14, 2018.Search in Google Scholar
Saggar, S., C. Bitoni, I. Khurana, R. Alhawat. Data Warehouse with Big Data Technology for Higher Education. – Available at SSRN 4128707, 2022.Search in Google Scholar
Shrestha, S., S. Bhalla. Survey on the Evolution of Models of Data Integration. – Int. J. Knowl. Based Comput. Syst, Vol. 8, 2020, pp. 11-16.Search in Google Scholar