| title | excerpt | publishDate | category |
|---|---|---|---|
The Best Big Data Books |
Explore the top Big Data Books, covering everything from data analytics to machine learning, and gain valuable insights into the rapidly growing field of data science. |
2024-05-18T09:51:36Z |
Dive into the fascinating world of Big Data with these top-rated reads. In our latest book roundup, we'll be taking a closer look at some of the most captivating and informative Big Data titles that have made waves. These books are perfect for both beginners and seasoned professionals who are eager to delve deeper into the realm of Big Data and its countless applications.
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"Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data" by authors Paul Zikopoulos and Chris Eaton offers a practical guide to making sense of the rapidly evolving world of big data. With the increased emphasis on harnessing data for business growth, this book serves as a timely resource, revealing IBM's strategy in tackling the complexities of Big Data using open source solutions. The authors delve into the three fundamental characteristics of Big Data - volume, variety and velocity - offering a comprehensive understanding of Hadoop technology and its role in enterprise scalability and reliability.
Through illuminating industry use cases, the reader gets a glimpse of real-life applications and the potential of Big Data analytics. Whether you are a data enthusiast or tech-savvy professional, this book serves as an essential reference to unlock the potential of Big Data.
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Authors: Paul Zikopoulos, Chris Eaton
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Publisher: McGraw Hill Professional
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Published Date: October 22, 2011
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Page Count: 176.0
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Print Type: BOOK
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Categories: Computers
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Average Rating: 5.0
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Ratings Count: 1.0
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Maturity Rating: NOT_MATURE
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Language: en
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"Boost your Big Data IQ and unlock the potential of IBM's unique in-motion and at-rest Big Data analytic capabilities with this insightful guide. Discover how IBM is leveraging open source Big Data technologies and reinventing the game in the world of computing.
Learn about the four defining characteristics of Big Data—volume, variety, velocity, and veracity—and how IBM is leading the way in supporting Hadoop. The authors provide first-hand knowledge of how organizations are cataloging their existing Big Data assets, discovering previously hidden valuable insights, and expanding their data exploration.
This book isn't just about the technologies behind the IBM Big Data platform—it also shares practical advice on when and how to leverage purpose-built engines for analytics on data in-motion and data at-rest. Gain an understanding of how and when to govern Big Data, and explore IBM's industry-leading InfoSphere integration and governance portfolio to handle the complexities of utilizing Big Data.
Packed with real-world industry use cases and written by leading experts, this essential guide sheds light on the IBM Big Data platform, helping you harness the power of Big Data and make breakthroughs in your business. "
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Authors: Paul Zikopoulos, Dirk deRoos, Krishnan Parasuraman, Thomas Deutsch, James Giles, David Corrigan
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Publisher: McGraw Hill Professional
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Published Date: November 08, 2012
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Page Count: 280.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
Emerging Business Intelligence and Analytic Trends for Today's Businesses
"Big Data, Big Analytics" by Michael Minelli, Michele Chambers, and Ambiga Dhiraj is a groundbreaking exploration of the ever-evolving business intelligence landscape shaped by the convergence of big data, analytics, and emerging technologies.
As businesses stand on the cusp of a major watershed, this book illuminates the remarkable potential of big data analytics to drive productivity, efficiency, and profitability like never before. By demystifying the realms of big data, the authors unveil the untapped potential for businesses to seize competitive advantage through sophisticated data analyses.
Exploring an array of industries including finance, healthcare, and marketing, "Big Data, Big Analytics" empowers readers with the knowledge needed to harness the power of big data. They delve into topics such as data privacy, data visualization, unstructured data, cloud computing, and the role of crowdsourced data scientists – providing an all-encompassing understanding of big data analytics.
Whether you're a CEO looking to leverage big data for strategic advantage, a marketer seeking to deepen consumer insights, or an IT professional keen on navigating the challenges of big data, "Big Data, Big Analytics" is a comprehensive, timely handbook that will help you stay ahead of industry trends. This book, published by John Wiley & Sons in 2013, is a must-read for anyone seeking to understand the profound impact of this phenomenon on businesses worldwide.
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Authors: Michael Minelli, Michele Chambers, Ambiga Dhiraj
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Publisher: John Wiley & Sons
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Published Date: January 22, 2013
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Page Count: 230.0
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Print Type: BOOK
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Categories: Business & Economics
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Maturity Rating: NOT_MATURE
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Language: en
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The World is Changing, are You Ready?
The Big Data Revolution takes readers on an eye-opening journey through the world of data and its transformative impact on businesses, governments, and individuals. Written by Jason Kolb and Jeremy Kolb for the non-technical business person, this book provides a roadmap for navigating the data-driven reality that is reshaping our world.
In the first part of the book, Data Science, readers are introduced to the tools and techniques companies and governments use to refine data into valuable insights. The authors reveal how these methods have powered the success of pioneering companies like Amazon and IBM.
Part 2, Big Data, explores the exponential growth of data and the unique challenges and opportunities it presents. From Obama's use of Big Data during his presidential campaign to the innovative ways startups use data to save their clients capital, this section provides real-world examples to illustrate the power of data.
In part 3, Tools of the Trade, the focus shifts to the technology behind data science. The Kolb brothers delve into the main categories of tools used by data scientists, including Business Intelligence and Data Discovery, and discuss their role in helping companies make sense of the overwhelming amount of data available.
Finally, part 4, Gazing into the Future, provides an insightful look at the trends and innovations that will shape the future of data analytics. The authors invite readers to stay ahead of the curve in this rapidly evolving industry, ensuring they don't miss out on the potential benefits of a data-driven future.
"The Big Data Revolution" is an essential read for anyone seeking to understand the implications of our data-driven world and learn how to capitalize on the opportunities it presents. Get your copy today and be prepared for the data-driven future.
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Authors: Jason Kolb, Jeremy Kolb
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Publisher: Createspace Independent Publishing Platform
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Published Date: March 30, 2013
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Print Type: BOOK
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Categories: Big data
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Maturity Rating: NOT_MATURE
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Language: en
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Get ready to dive into the complex world of big data with ease, using Big Data For Dummies! This insightful guide, written by four expert authors, will demystify big data management and help you unlock the potential for your business or organization. Whether you're in the retail, meteorology, or social media sphere, this book will equip you with the knowledge and tools to conquer your data challenges.
The authors, experts in information management, big data, and various solutions, bring you a comprehensive understanding of big data concepts, its significance, and how to choose and implement effective solutions. They'll also address security concerns, data storage and presentation issues, analytics, and much more – all presented in a no-nonsense, easy-to-digest style.
Big Data For Dummies will empower you to navigate the ever-evolving big data landscape and harness its power for your organization. Don't let confusion hold you back; master big data with this invaluable resource and take your business to new heights.
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Authors: Judith S. Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman
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Publisher: John Wiley & Sons
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Published Date: April 02, 2013
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Page Count: 336.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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A Revolution that Will Transform how We Live, Work, and Think
"Big Data" by Viktor Mayer-Schönberger and Kenneth Cukier takes readers on a journey through the world of big data, a game-changing technology that revolutionizes the way we live, work, and think. The book delves into our newfound ability to process and analyze massive amounts of information swiftly, allowing for deep insights and surprising conclusions.
As the authors discuss its profound impact on the economy, science, and society at large, they also explore strategies to protect ourselves from the potential hazards of big data. Written in approachable language, "Big Data" is a must-read for anyone curious about the intersection of technology and the future.
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Authors: Viktor Mayer-Schönberger, Kenneth Cukier
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Publisher: Houghton Mifflin Harcourt
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Published Date: April 13, 2013
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Page Count: 257.0
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Print Type: BOOK
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Categories: Business & Economics
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Average Rating: 3.0
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Ratings Count: 4.0
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Maturity Rating: NOT_MATURE
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Language: en
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Join Josiah Carlson on a journey to unravel the world of Redis with Redis in Action! This compelling guide is perfect for developers looking to gain a comprehensive understanding of Redis and its key-value model.
Start by setting up Redis and learning about the intricacies of in-memory datasets. Dive into popular real-use cases, including dynamic caching and targeting ad distribution, then explore the scaling of Redis from small jobs to massive datasets. Experienced developers will appreciate the advanced chapters on clustering and internal scripting.
With no prior knowledge of NoSQL database concepts or Redis, this book is an essential resource for systems administrators seeking to improve their programming skills. Purchase comes with a free eBook in multiple formats!
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Authors: Josiah Carlson
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Publisher: Simon and Schuster
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Published Date: June 17, 2013
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Page Count: 448.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Understanding How Data Powers Big Business
"Big Data: Understanding How Data Powers Big Business" is an essential guide for IT professionals, executives and businesses seeking to unlock the potential of massive data collections. Authored by industry expert, William Schmarzo, this book serves as a practical blueprint for leveraging big data to drive significant business value.
Using real-world examples, Schmarzo delves into the intricacies of big data technologies, such as social media analysis and web-tracking, which enable businesses to better understand their customers, products, competition and markets. He provides readers with a complete framework on how to use these insights to improve customer experience, product development, and to increase return on investment.
Moreover, the book addresses the challenges that arise from operationalising big data, such as organizational structures, education and new roles. Schmarzo also includes handy methodology worksheets and exercises which readers can tailor to their unique situations.
"Big Data: Understanding How Data Powers Big Business" is a must-read for anybody wanting to understand how to harness the power of big data for competitive advantage and improved operations.
To sum it up, the book isn't merely about collecting or storing data; it's about effectively using valuable insights gleaned from these big data repositories to steer business strategies and enhance decision-making. This is a book that promises to transform understanding and appreciation of big data in the corporate sphere. It is a book worth your time and investment.
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Authors: Bill Schmarzo
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Publisher: John Wiley & Sons
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Published Date: September 23, 2013
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Page Count: 240.0
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Print Type: BOOK
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Categories: Business & Economics
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Maturity Rating: NOT_MATURE
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Language: en
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Big Data Computing is a comprehensive guide for professionals and students interested in the growing field of Big Data. Authored by Rajendra Akerkar and published by CRC Press in 2013, this 566-page book delves into the technical and practical aspects of Big Data in intelligent information management. With a focus on the adoption and diffusion of Big Data tools and technologies, the book covers a wide range of research and provides comparisons between state-of-the-art approaches.
The book is organized into five sections, starting with an introduction to what Big Data is and why it is important. The next section delves into semantic technologies, followed by a discussion on tools and methods for Big Data computations. The fourth section examines the business and economic perspectives on Big Data, while the fifth and final section explores Big Data applications across various industries.
Big Data Computing presents a mix of industry cases and theory, offering readers a well-rounded understanding of this complex and rapidly evolving field. This 566-page tome serves as an essential resource for anyone looking to stay ahead of the curve in the world of Big Data.
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Authors: Rajendra Akerkar
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Publisher: CRC Press
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Published Date: December 05, 2013
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Page Count: 566.0
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Print Type: BOOK
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Categories: Business & Economics
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Maturity Rating: NOT_MATURE
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Language: en
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Dispelling the Myths, Uncovering the Opportunities
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities by Thomas Davenport is a must-read for business novices and experts alike. When the term "big data" emerged, Davenport, an acclaimed business author, initially saw it as a technological buzzword. However, his research transformed his skepticism into uncovering the real potential of big data.
This book offers valuable insights into the technical, consumer, and managerial perspectives of big data. Debunking common misconceptions, it exposes the opportunities and costs associated with utilizing this revolutionary tool. By exploring tangible business impacts, Davenport provides clarity on the areas where big data excels and the situations where it has been overplayed.
Big Data at Work not only explains what big data means but also demonstrates its implications on individuals, their occupations, and their industries. It equips readers with the knowledge to grasp big data fundamentals, hire skilled talent, and effectively implement big data projects. In essence, the book acts as a comprehensive guide for harnessing the power of big data within their organization.
Drawing from numerous real-life case studies that include industry giants like UPS, GE, Amazon, Oracle, United Healthcare, and Citigroup, Davenport demonstrates how big data could improve business decisions, enhance products and services, and strengthen customer relationships. It's an essential toolkit for seizing the chances offered by big data.
Whether you work in advertising, manufacturing, healthcare, or finance, this book delivers actionable advice on how to incorporate big data into your strategic decisions. It equips you to take advantage of the immense potential that lies within this ever-evolving digital frontier. So, be ready to embrace big data, demystify its intricacies, and revolutionize your business with the help of Davenport's comprehensive and accessible work.
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Authors: Thomas Davenport
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Publisher: Harvard Business Review Press
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Published Date: February 04, 2014
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Page Count: 241.0
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Print Type: BOOK
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Categories: Business & Economics
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Average Rating: 4.0
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Ratings Count: 1.0
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Maturity Rating: NOT_MATURE
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Language: en
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Dispelling the Myths, Uncovering the Opportunities
"Big Data at Work" by Thomas Davenport is a must-read for any business professional seeking to understand the true potential of big data. Initially skeptical, Davenport explores the meaning of big data from various perspectives, proving its importance to both individuals and organizations.
The book covers the opportunities and challenges, providing insights on harnessing big data to inform decisions, improve products, and strengthen customer relationships. With real-world examples from big-name companies, this compelling guide helps readers harness the power of big data for their own businesses.
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Authors: Thomas Davenport
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Publisher: Harvard Business Review Press
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Published Date: February 25, 2014
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Page Count: 242.0
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Print Type: BOOK
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Categories: Business & Economics
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Maturity Rating: NOT_MATURE
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Language: en
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Related Technologies, Challenges and Future Prospects
Delve into the fascinating world of big data with "Big Data: Related Technologies, Challenges, and Future Prospects" by Min Chen, Shiwen Mao, Yin Zhang, and Victor C. M. Leung. Published by Springer, this comprehensive resource takes an in-depth look at the value chain of big data, exploring each phase: data generation, acquisition, storage, and analysis.
Discover the latest advances in cloud computing, Internet of Things, data centers, Hadoop, and more, as well as insightful case studies across diverse industries such as enterprise management, online social networks, healthcare, and smart grids. This concise yet thoroughly informative book, clocking in at 89 pages, is ideal for researchers, professionals, and advanced students in computer science and electrical engineering interested in exploring the field of big data and its future possibilities.
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Authors: Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung
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Publisher: Springer
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Published Date: May 05, 2014
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Page Count: 89.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Challenges and Opportunities
"Complex Systems and Big Data: Unraveling the Challenges and Prospects" is a comprehensive investigation into the integration of Big Data in complex system problem-solving. Featuring insights from leading authorities in the field, this book delves into the intricacies of utilizing Big Data to tackle the complexities in analyzing and utilizing vast data repositories. The authors delve into the transformation of unstructured data into a structured format as a primary challenge, exploring the nuances of working with text, images, and video material. They subsequently introduce multiple strategies to surmount these hurdles. The book covers topics such as data analysis, classification, retrieval, and semantic modeling, empowering readers to efficiently leverage the capabilities of Big Data.< Catering to both researchers and professionals working in the realm of Big Data, as well as advanced undergraduate and postgraduate students, this volume provides each concept in plain, comprehensible language. The 17 chapters are meticulously arranged, offering problem descriptions, related works, and comparative analyses to offer a holistic perspective on the subject matter. With a total of 502 pages, "Complex Systems and Big Data: Unraveling the Challenges and Prospects" is a valuable treasure trove for anyone wishing to comprehend and apply Big Data principles to tackle intricate systems. This book is an essential read for those eager to stay abreast of the rapidly evolving technology and engineering landscape.
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Authors: Aboul Ella Hassanien, Ahmad Taher Azar, Vaclav Snasael, Janusz Kacprzyk, Jemal H. Abawajy
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Publisher: Springer
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Published Date: January 02, 2015
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Page Count: 502.0
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Print Type: BOOK
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Categories: Technology & Engineering
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Maturity Rating: NOT_MATURE
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Language: en
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Algorithms, Analytics, and Applications
"Big Data: Algorithms, Analytics, and Applications" is a comprehensive guide written by leading experts in the field, Kuan-Ching Li, Hai Jiang, Laurence T. Yang, and Alfredo Cuzzocrea. Published by CRC Press in 2015, this 498-page masterpiece offers a wealth of knowledge on the ever-evolving world of big data.
As businesses increasingly rely on capturing and analyzing vast amounts of data, this book serves as a timely reminder that it's crucial to rethink our approach to handling this valuable resource. The authors delve into advanced algorithms and analytics techniques that empower organizations to uncover hidden patterns within their data and use this newfound knowledge to gain a competitive edge.
Covering categories like computers, this book is a must-read for anyone looking to stay ahead in the rapidly evolving big data landscape. Its engaging, easy-to-understand language makes it accessible to a wide audience, from professionals to students, ensuring they all receive the insights they need to harness the full potential of big data.
"Big Data: Algorithms, Analytics, and Applications" is more than just a book – it's a roadmap to success in the world of big data. By providing practical insights and real-world applications, it equips readers with the tools they need to make the most of their data, driving innovation and growth for their organizations.
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Authors: Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea
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Publisher: CRC Press
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Published Date: February 23, 2015
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Page Count: 498.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Principles and Best Practices of Scalable Realtime Data Systems
"Big Data and Beyond: The Essential Guide to Scalable Realtime Data Systems" is a must-read for anyone seeking to uncover the future of data management. Nathan Marz and James Warren lead you on a captivating journey through the architecture and practical applications of big data systems.
High-traffic websites such as social networks, real-time analytics, and e-commerce sites introduce distinct challenges when it comes to managing massive amounts of data at breakneck speeds, far surpassing traditional database capabilities. This book introduces a groundbreaking approach called the Lambda Architecture, enabling the creation of scalable, data-processing systems that can be crafted and operated by a small team.
"Big Data and Beyond" requires no prior expertise in large-scale data analysis or NoSQL tools, but assumes a basic understanding of traditional databases. By blending theoretical understanding with hands-on implementation, this comprehensive guide covers essential concepts like batch processing, serving layers, and speed layers. It also delves into tools such as Hadoop, Cassandra, and Storm. Regardless of your experience level, this book ensures you fully comprehend big data systems and their significance in today's digital landscape. So, prepare yourself for your next big data exploration with "Big Data and Beyond" - your ultimate guide!
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Authors: Nathan Marz, James Warren
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Publisher: Manning Publications Company
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Published Date: March 30, 2015
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Page Count: 328.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Frameworks and Methodologies
Dive into the realm of data science and big data computing through the captivating guide, "Data Science and Big Data Computing: Frameworks and Methodologies" by Zaigham Mahmood, published by Springer in 2016. This comprehensive resource provides an in-depth exploration of data analytics, giving you access to experienced international researchers and practitioners' insights on this exciting field.
The book emphasizes practical applications and emerging trends, providing you with valuable frameworks and methodologies for conquering the challenges of data science and big data analysis. Uncover the mysteries behind quick data operations, intricate event processing, and network splitting, while learning about distributed computing techniques to interface with both the physical and cyber worlds. Additionally, this book showcases tricks for machine learning, data modeling, and data management.
Catering to the challenges of handling immense data repositories, "Data Science and Big Data Computing" educates you on techniques for detecting duplicate entries and introduces innovative data mining technologies. Embark on the groundbreaking frontier of data extraction, adaptive decision-making, and social media analysis, utilizing this fundamental reference.
Place yourself in the dynamic landscape of business and economics with this game-changing book. A must-read for data analysts, researchers, and professionals yearning to remain at the cutting edge of data-driven innovation. Prepare to transform your perception of data science and big data computing with "Data Science and Big Data Computing: Frameworks and Methodologies" by Zaigham Mahmood.
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Authors: Zaigham Mahmood
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Publisher: Springer
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Published Date: July 05, 2016
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Page Count: 319.0
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Print Type: BOOK
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Categories: Business & Economics
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Maturity Rating: NOT_MATURE
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Language: en
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In the intriguing realm of big data, authors Borko Furht and Flavio Villanustre, in their book "Big Data Technologies and Applications," take readers on a captivating journey, introducing fundamental principles and essential technologies to successfully tackle these intricate complexities. With a strong emphasis on HPCC, an open-source computing platform, the book provides a comprehensive solution for problem-solving in the realm of big data.
Divided into three sections, this 400-page book initiates by delving into big data concepts, analytical methods, and visualization techniques. Subsequently, readers will be introduced to the LexisNexis Risk Solution to Big Data, which explores various technologies and methods for addressing critical issues. The final section highlights real-world applications of HPCC Systems, featuring examples of fraud detection, Ebola modeling utilizing big data analytics, and image classification.
Featuring contributions from industry experts, this definitive work caters to a multitude of audiences, including researchers, developers, and business professionals. By weaving together engaging content with practical applications, "Big Data Technologies and Applications" serves as an indispensable resource for those seeking to comprehend the power and potential of big data technologies.
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Authors: Borko Furht, Flavio Villanustre
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Publisher: Springer
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Published Date: September 16, 2016
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Page Count: 400.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Introducing "Big Data Is Not a Monolith, " a timely and insightful exploration of the multifaceted world of big data. Co-authored by Cassidy R. Sugimoto, Hamid R. Ekbia, and Michael Mattioli, this book delves into the intriguing complexities of big data across various domains, including health, science, law, commerce, and politics.
Far from being a one-size-fits-all phenomenon, big data is diverse and heterogeneous. It can be harnessed to analyze anything from clicks on a webpage to identifying patterns in stock trades, while also influencing consumer preferences and shaping our understanding of language. This comprehensive work emphasizes the importance of viewing big data within its specific context, rather than as a monolithic entity.
"Big Data Is Not a Monolith" offers in-depth perspectives on the manifold challenges posed by big data, its effects on individuals, society, science, and organizations. The contributors delve into topics such as data privacy, transparency, social control, empowerment, and constraint.
This intellectual tour of big data's far-reaching implications is brought to life by an array of distinguished authors who tackle these issues from various angles. With a balance of theory, practice, and policy, this book provides readers with a holistic understanding of the vast and evolving landscape of big data.
"Big Data Is Not a Monolith" will intrigue those working in language arts, data science, science, computer science, and beyond, as it presents a compelling case for the contextual interpretation of big data. Enter the realm of big data with this groundbreaking work, and prepare to unravel its complex, fascinating world.
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Authors: Cassidy R. Sugimoto, Hamid R. Ekbia, Michael Mattioli
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Publisher: MIT Press
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Published Date: October 21, 2016
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Page Count: 308.0
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Print Type: BOOK
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Categories: Language Arts & Disciplines
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Maturity Rating: NOT_MATURE
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Language: en
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Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
Explore the world of Big Data and master the art of extracting insights from massive datasets with "Practical Big Data Analytics" by Nataraj Dasgupta. This comprehensive guide is perfect for existing and aspiring professionals who want to unlock the full potential of their organizational data.
You'll dive into the use of Hadoop, Spark, NoSQL, and R for efficient data processing, analyzing, and visualization. Learn essential techniques like statistical inference, machine learning, and mathematical modeling, and gain hands-on experience with industry-standard tools. By the end of the book, you'll have a solid understanding of Big Data analytics and its impact on businesses, along with the skills to create custom solutions tailored to your organization's needs.
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Authors: Nataraj Dasgupta
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Publisher: Packt Publishing Ltd
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Published Date: January 15, 2018
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Page Count: 402.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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A Little Book about a Big Bunch of Nonsense
In "Big Data, Big Dupe, " author Stephen Few offers a provocative perspective on our fascination with big data, exposing it as a marketing fad that overshadows the true value of valuable information. Few delves into the hype surrounding big data and how it has been instrumentalized as a buzzword to distract from more meaningful work, such as analyzing targeted metrics. This short yet potent book encourages readers to look beyond the catchphrase and recognize the potential benefits of focusing on valuable data instead.
"Big Data, Big Dupe" is a must-read for anyone seeking to cut through the noise and uncover the real worth of data-driven insights.
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Authors: Stephen Few
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Published Date: February 28, 2018
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Surveillance, Race, and the Future of Law Enforcement
In the insightful piece "The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement," author Andrew Guthrie Ferguson dives into the realm of advanced, data-centric law enforcement, exploring its potential impacts on society. With a vision of a future where software foretells incoming criminal activities, algorithms generate "most-wanted" lists virtually, and databases amass personal and biometric information, Ferguson delves into the cutting-edge technology reshaping law enforcement.
This pioneering work scrutinizes how these novel technologies, championed as race-neutral and impartial, have been embraced by police departments to escape accusations of racial prejudice and constitutional infringement. However, Ferguson poses challenging queries regarding the prospect of racial bias and the skewing of fundamental rights.
Beyond merely discussing the challenges and benefits of data-driven policing, "The Rise of Big Data Policing" proposes data-driven techniques to bolster police accountability and tackle the socio-economic factors contributing to criminality. With law enforcement faced with budgetary constraints, the data-driven approach has been promoted as a means to "turn the page" on racial bias.
Exploring the fine line between safety and privacy, Ferguson's captivating work emerges as a crucial read for anyone concerned about the future of law enforcement and the possible danger it poses to citizens' constitutional liberties.
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Authors: Andrew Guthrie Ferguson
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Publisher: NYU Press
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Published Date: November 15, 2019
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Page Count: 267.0
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Print Type: BOOK
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Categories: Law
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Maturity Rating: NOT_MATURE
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Language: en
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Data Governance Principles for Big Data Analytics
In an era of unprecedented data growth, Big Data Management: Data Governance Principles for Big Data Analytics by Peter Ghavami serves as a comprehensive guide to tackling the challenges and seizing the opportunities. This authoritative text, published by Walter de Gruyter GmbH & Co KG, is essential reading for data scientists, engineers, and corporate leaders seeking to harness big data in their operations.
Big Data Management does more than provide an overview of data handling strategies for today's fast-paced world; it offers a deep dive into the intricacies of big data management, making it invaluable for readers seeking modern, open-source architectures. With a strong emphasis on data security, privacy, and governance, Ghavami guides readers through the complexities of managing big data.
The book covers a wide range of topics, from data quality and stewardship to regulatory considerations, catering to every stage of the data management life cycle. These discussions are bolstered by the author's collection of best practices from leading global organizations, offering a wealth of practical insights.
Whether it's architectural models, operational models, or the formation of a data council, readers will find comprehensive guidance for the successful management of big data. In this age of rapid digital transformation, Ghavami's insights on big data management are more than relevant; they're crucial. Big Data Management: Data Governance Principles for Big Data Analytics is not just a book, but a vital tool, a roadmap to navigate the labyrinth of data analytics. It's a must-read for all interested in leveraging big data to drive business success.
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Authors: Peter Ghavami
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Publisher: Walter de Gruyter GmbH & Co KG
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Published Date: November 09, 2020
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Page Count: 180.0
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Print Type: BOOK
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Categories: Business & Economics
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Maturity Rating: NOT_MATURE
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Language: en
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Concepts, Technology, and Architecture
Embark on an informative journey through the world of Big Data with the comprehensive book, "Big Data: Concepts, Technology, and Architecture". This groundbreaking publication is penned by esteemed authors Balamurugan Balusamy, Nandhini Abirami R, Seifedine Kadry, and Amir H. Gandomi, making it an authoritative reference for data enthusiasts.
The book begins by providing a thorough understanding of the Big Data concepts, equipping readers with the foundations to navigate the ever-evolving world of data. As the narrative progresses, it delves into the intricacies of data creation, storage, and processing across various structures. Traditional database solutions are explored, as well as pioneering technologies such as Apache Hadoop, SQOOP, and Flume.
Learn about data analytics, machine learning, and data mining, enabling you to leverage Big Data's potential. Moreover, gain valuable insights into data visualization with Tableau, which allows you to create engaging data presentations.
"Big Data" also enriches the reader's experience through case studies that illustrate real-world applications of the discussed concepts. Discover the challenges that big data technology and professionals often face, such as data heterogeneity, incompleteness, volume, velocity, storage limitations, and privacy concerns.
Whether you're a data scientist, data engineer, database manager, business intelligence analyst, executive, or manager, this book has something for you. The comprehensive curriculum makes it accessible to all, enriching your understanding of Big Data and its impact on the contemporary business landscape.
Don't miss this opportunity to unlock the depths of Big Data – equip yourself with the knowledge to make informed decisions in our data-driven world.
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Authors: Balamurugan Balusamy, Nandhini Abirami R, Seifedine Kadry, Amir H. Gandomi
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Publisher: John Wiley & Sons
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Published Date: April 13, 2021
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Page Count: 370.0
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Print Type: BOOK
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Categories: Mathematics
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Maturity Rating: NOT_MATURE
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Language: en
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Amidst the era of data-driven advancements, the discipline of rhetoric and composition faces challenges as it navigates the influence of algorithmic and computational strategies on the realm of research and instruction. "Composition and Big Data" offers a comprehensive collection of essays contributed by esteemed experts in the field, delving into the intricacies of how large data sets impact the study of composition and its impact on pedagogical methods.
This compelling book, co-edited by Amanda Licastro and Benjamin Miller, sheds light on the significant role data analysis plays in shaping the discipline's future.
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Authors: Amanda Licastro, Benjamin Miller
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Publisher: University of Pittsburgh Press
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Published Date: November 02, 2021
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Page Count: 277.0
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Print Type: BOOK
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Categories: Language Arts & Disciplines
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Maturity Rating: NOT_MATURE
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Language: en