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@article{175749,
        author = {ASHISH KUMAR and MS. ITTI DOGRA},
        title = {BIG DATA ANALYTICS:HANDLING LARGE DATASETS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3663-3671},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175749},
        abstract = {Big data analytics has become an important factor in industry decision-making in the age of digital transformation. Large records analytics is presently a critical matter of enterprise decision-making within the virtual transformation era. Management and analysis of large datasets have become unavoidable and daunting due to the explosion of records exponentially. The most significant methods, tools, and platforms for handling large amounts of statistics are discussed on these studies with focus on concerns including scalability, processing, storage, and real-time analysis. It also analyses existing issues and characteristics, which involve cloud computing, dispensed architecture, Spark, and Hadoop computing, and AI integration. The objective is to provide an overall assessment of how large data technology are developing to manage increasingly evolving volumes of data effectively and accurately. The study further depicts the strength of transformation through enormous records analytics through highlighting its real-international programs across various industries, from fitness care to banking, retail, and clever city making plans. Key issues such as infrastructure costs, information privacy, quality of data, and lack of trained staff are tackled as well. The research concludes by employing describing several of the potential destiny directions for the industry, along with the synergy of system learning and synthetic intelligence for real-time and automatic decision-making.},
        keywords = {Big Data, Data Analytics, Hadoop,Apache Spark, Data Storage, Scalability, Cloud Computing.},
        month = {April},
        }