| 000 -LEADER |
|---|
| fixed length control field |
03304nam a22003137a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20260723100046.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
260723b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781836831082 [hardbound] |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
University of Cebu-Banilad |
| Transcribing agency |
University of Cebu-Banilad |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Snow, Daphne, |
| Relator term |
author. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Big data analytics : |
| Remainder of title |
tools and technology / |
| Statement of responsibility, etc |
by Daphne Snow. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
London, United Kingdom : |
| Name of publisher, distributor, etc |
Vintage Press LTD., |
| Date of publication, distribution, etc |
c2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
ix, 280 pages : |
| Other physical details |
color illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmidiated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type |
volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"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<br/><br/>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.<br/><br/>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.<br/><br/>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 |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
Adult |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Source of acquisition |
Purchased |
| Deans/Chairperson |
Ortega, Eric |
| Department |
College of Computer Studies |
| Subject Category |
Computer Science |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Big data analytics. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Type of record |
Book |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Encoded by |
Janna [new] |
| Date encoded |
07/23/2026 |
