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Big data analytics : tools and technology / by Daphne Snow.

By: Snow, Daphne [author. ]Material type: Text

TextPublisher: London, United Kingdom : Vintage Press LTD., c2025Edition: First editionDescription: ix, 280 pages : color illustrations ; 24 cmContent type: text Media type: unmidiated Carrier type: volume ISBN: 9781836831082 [hardbound] Subject(s): Big data analytics

Contents:

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.

Summary: "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

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Item type	Current location	Call number	Status	Date due	Barcode
Subject Reference	College Library Subject Reference	005.7 Sn61 2025 (Browse shelf)	Available		3UCBL000029691

Includes bibliographical references and index.

"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