دانلود کتاب پارادایم‌های جدید در فناوری کلان‌داده و تحلیل کسب‌وکار – مجموعه مقالات کنفرانس بین‌المللی فناوری کلان‌داده

Big Data Technology and Business Analytics are transforming the way organizations operate in the digital era. By collecting, processing, and analyzing vast volumes of structured and unstructured data, businesses can uncover valuable insights that drive strategic decisions. Big data platforms such as Hadoop, Spark, and cloud-based solutions enable efficient data storage and real-time processing. These technologies support predictive analytics, allowing companies to forecast market trends, customer behavior, and operational risks. Business analytics tools leverage these datasets to create dashboards, reports, and visualizations that aid in understanding complex scenarios. As a result, companies can optimize resource allocation, improve customer satisfaction, and enhance overall performance. Advanced analytics techniques like machine learning and natural language processing further expand the potential of big data in identifying hidden patterns and anomalies. Industries such as finance, healthcare, retail, and manufacturing are increasingly adopting these technologies to stay competitive. However, successful implementation requires robust data governance, skilled professionals, and a clear strategy aligned with business goals. Ultimately, Big Data Technology and Business Analytics empower organizations to become more agile, informed, and innovation-driven. The primary aim of the International Conference on Big Data Technology & Business Analytics (BDTBA-2024) is to bring together a global community of scholars, researchers, industry experts, and practitioners to discuss and share advancements in big data technologies and business analytics. The conference serves as a vibrant platform for exchanging innovative ideas, presenting cutting-edge research, and exploring real-world applications of data-driven solutions. In today’s rapidly evolving digital landscape, the integration of big data and analytics has become essential for informed decision-making, operational efficiency, and competitive advantage. BDTBA-2024 is committed to fostering interdisciplinary dialogue, encouraging collaborative research, and promoting the development of novel tools and frameworks that address complex business challenges. The conference provides an opportunity to examine the impact of artificial intelligence, machine learning, cloud computing, and other emerging technologies on data analysis and business strategies. Participants engage in meaningful discussions that bridge the gap between academic research and industry practices. The event also highlights the importance of ethical data use, data governance, and security in the era of massive information flow. By hosting keynote speeches, technical sessions, and panel discussions, BDTBA-2024 ensures a comprehensive learning experience for all attendees. It aims to inspire innovation and support the next generation of data professionals and researchers. With great enthusiasm, we present the conference proceedings, showcasing the rich diversity of thought and knowledge shared at BDTBA-2024. Big Data Technology and Business Analytics hold a futuristic vision of transforming the way we understand, interpret, and act upon information in every sector of society. As data becomes the new driving force of innovation, these technologies enable smarter decision-making, personalized services, and predictive insights that can revolutionize industries such as healthcare, education, finance, and public governance. BDTBA-2024 embraces this vision by creating a collaborative platform where experts can exchange groundbreaking research and practical solutions. The conference encourages the development of responsible, scalable, and efficient data practices that address real-world societal challenges. Through its diverse sessions and knowledge-sharing initiatives, BDTBA- 2024 aims to provide inclusive growth, technological empowerment, and data literacy. Ultimately, the conference contributes to building a data-driven society that is more informed, resilient, and sustainable.