Techniques for Effective Management of Big Data in Large Enterprises
Keywords:
Big Data, Data Management, Enterprise Data Strategy, Cloud Computing, Data Governance, Distributed Computing, Machine Learning, Data Quality, Author Name, Scopus, Springer, Journal Name, Wissira, Journal Short Form, Wissira Press, Wissira Research Lab, Research Gate, SSRN, ISSN, Academia, UGC Care, PubMed, WOSAbstract
In today’s rapidly evolving digital environment, large enterprises are increasingly challenged by the volume, velocity, and variety of big data. This manuscript investigates contemporary techniques for the effective management of big data, highlighting best practices that combine advanced data governance, scalable cloud architectures, and machine learning methodologies. A comprehensive study was conducted, incorporating a literature review, methodological framework, statistical analysis, and simulation research to evaluate various data management strategies. The simulation results and statistical findings reveal that a hybrid approach—integrating distributed computing frameworks with robust data quality and governance protocols—provides significant improvements in scalability, cost efficiency, and data accuracy. The study concludes by outlining practical recommendations for enterprise-level implementation, emphasizing the necessity for adaptive strategies in an ever-changing data landscape. The insights provided herein are expected to assist organizations in optimizing data utilization, thereby enhancing decision-making processes and competitive advantage.
