03304nam a22003137a 4500 OSt 20260723100046.0 260723b |||||||| |||| 00| 0 eng d 9781836831082 [hardbound] University of Cebu-Banilad University of Cebu-Banilad Snow, Daphne, author. Big data analytics : tools and technology / by Daphne Snow. First edition. London, United Kingdom : Vintage Press LTD., c2025. ix, 280 pages : color illustrations ; 24 cm. rdacontent text rdamedia unmidiated rdacarrier volume Includes bibliographical references and index. Contents : 1. Introduction to big data -- 2. Big data storage and processing frameworks -- 3. Data collection and data sources -- 4. Data preprocessing and cleaning -- 5. Data analysis and mining techniques -- 6. Machine learning for big data analytics -- 7. Big data visualization techniques -- 8. Data security and privacy in big data -- 9. Big data tools and technologies -- 10. Cloud computing for big data. "In the rapidly evolving world of data science, Big Data analytics has become an essential discipline for organizations seeking to unlock the potential of vast amounts of information. As we move deeper into the digital age, the volume, velocity, and variety of data continue to grow exponentially. The ability to harness and interpret this data is no longer a luxury-it is a necessity. This book delves into the tools and technologies that have emerged as central to Big Data analytics, providing a comprehensive exploration of the systems that power modern data-driven decision-making In my experience, understanding the full scope of Big Data analytics requires not just familiarity with the underlying technologies but also insight into how they interconnect. From data storage and processing frameworks to the advanced analytics platforms that help extract value from data, the ecosystem is both complex and dynamic. This complexity is compounded by the need for scalability, flexibility, and real-time capabilities, which are all critical in today's fast-paced environments. Throughout the chapters, I aim to provide a clear understanding of the tools-ranging from Hadoop and Spark to newer innovations like machine learning algorithms and cloud-based solutions that are transforming industries. The integration of these technologies allows businesses to move from traditional data management to a more proactive, insight-driven approach. The goal of this book is not only to introduce readers to the landscape of Big Data tools and technologies but also to provide practical insights into how they can be applied to real-world challenges. It's a journey that blends theory with hands-on knowledge, offering a comprehensive guide to navigating the increasingly intricate world of Big Data analytics. —Daphne Snow" --Preface Adult Purchased Ortega, Eric College of Computer Studies Computer Science Text in English Big data analytics. ddc BK Janna [new] 07/23/2026 15566 15566 0 0 ddc 0 0 UCBL_MAIN UCBL_MAIN SUBJ.REF 2026-07-23 Albasa-Mindmover 8250.00 0 005.7 Sn61 2025 3UCBL000029691 2026-07-23 2026-07-23 SR