03425nam a22003137a 4500003000400000005001700004008004100021020003100062040005900093100002900152245006900181250002000250260006100270300005400331336002200385337002500407338002400432504005200456505041700508520184000925521001102765541007602776546002102852650002502873942001202898998002802910999001702938952015602955OSt20260723100046.0260723b        |||||||| |||| 00| 0 eng d  a9781836831082 [hardbound]   aUniversity of Cebu-BaniladcUniversity of Cebu-Banilad  aSnow, Daphne, eauthor.   aBig data analytics : btools and technology / cby Daphne Snow.   aFirst edition.   aLondon, United Kingdom : bVintage Press LTD., cc2025.   aix, 280 pages : bcolor illustrations ; c24 cm.   2rdacontentatext   2rdamediaaunmidiated  2rdacarrieravolume   aIncludes bibliographical references and index.   aContents : 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.   a"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   aAdult   aPurchased xOrtega, EricyCollege of Computer StudieszComputer Science  aText in English   aBig data analytics.   2ddccBK  cJanna [new]d07/23/2026  c15566d15566  00102ddc4070aUCBL_MAINbUCBL_MAINcSUBJ.REFd2026-07-23eAlbasa-Mindmover g8250.00l0o005.7 Sn61 2025p3UCBL000029691r2026-07-23w2026-07-23ySR