
Disruptive Possibilities: How Big Data Changes Everything
Inclusive of all applicable taxes. FREE shipping on all orders.
Available Offers
- 🚚Free Delivery — Free shipping on all orders
- 💵Cash on Delivery — Pay when your order arrives
- ↩️15-Day Easy Returns — Hassle-free return policy
- 🔒Cash on Delivery — Pay safely when your order arrives
Check Delivery
Product Description
Introduction
In an age where data flows like the Ganges, the ability to harness its power separates the leaders from the laggards. Jeffrey Needham’s Disruptive Possibilities: How Big Data Changes Everything is not just another tech manual—it is a visionary guide that reveals how big data is reshaping industries, governments, and everyday life. Published by the renowned O’Reilly Media, this hardcover edition is a must-have for Indian students, professionals, and entrepreneurs who want to understand the tectonic shifts happening in the world of information.
Book Overview
Big data is often called the new oil, but Needham argues it is more like a wildfire—unpredictable, transformative, and capable of clearing away old structures to make room for the new. This book takes readers on a journey from the evolution of commodity supercomputing to the practical realities of Hadoop analytics clouds. It breaks down complex concepts into digestible insights, showing how organizations of any size can move beyond legacy silos and adopt a platform-centric approach. Whether you are a student in Bangalore or a startup founder in Mumbai, this book offers a clear roadmap to navigating the data revolution.
Key Highlights
- Historically informed perspective: Understand how big data evolved from mainframes to today’s distributed systems.
- Practical clarity: Demystifies Hadoop, cloud analytics, and commodity supercomputing without jargon overload.
- Real-world disruption: Case studies and examples that show how data is changing everything from retail to governance.
- Platform-centric thinking: Learn why breaking down silos is the key to unlocking data’s true value.
- Future-ready insights: Prepares readers for the next wave of innovation in analytics and artificial intelligence.
Inside the Book
Needham begins by painting a broad canvas: the tsunami of data that now engulfs every organization. He then dives into the simplicity behind big data technology, arguing that the tools are easier to use than most people think. The book contrasts conventional clouds with Hadoop analytics clouds, explaining why the latter are better suited for handling massive, unstructured datasets. It also explores the cultural shift required—moving from vendor lock-ins to collaborative ecosystems. Each chapter builds on the last, culminating in a vision where data becomes a public utility, accessible and actionable for all.
Key Topics
- The evolution of commodity supercomputing and its role in big data
- How Hadoop analytics clouds differ from traditional cloud computing
- Breaking down infrastructure, organizational, and vendor silos
- The platform-centric perspective as the new standard practice
- Collaborative approaches to data sharing and analysis
- Deriving actionable insights from the data tsunami
- Historical parallels: lessons from past technological disruptions
Reader Benefits
By reading this book, you will gain a panoramic view of big data’s potential. You will learn to identify opportunities in your own field—whether it is e-commerce, healthcare, education, or finance. The book equips you with the language and concepts to lead data-driven conversations in your workplace. It also helps you avoid common pitfalls, such as over-investing in the wrong infrastructure or underestimating the importance of collaboration. For Indian readers, the insights are especially relevant as the country accelerates its digital transformation.
Learning Outcomes
- Understand the historical context and disruptive nature of big data
- Differentiate between conventional clouds and Hadoop analytics clouds
- Recognize the importance of platform-centric architectures
- Identify strategies to break down data silos in your organization
- Apply collaborative frameworks to maximize data value
- Anticipate future trends in big data and analytics
- Make informed decisions about technology investments
Who Should Read
This book is ideal for data scientists, IT managers, business analysts, and entrepreneurs who want to stay ahead of the curve. Students pursuing degrees in computer science, data science, or business analytics will find it an invaluable resource. C-suite executives and policy makers in India will also benefit from its strategic insights. If you are curious about how data is reshaping the world—and how you can be part of that change—this book is for you.
About the Author
Jeffrey Needham is a seasoned technologist and thought leader with decades of experience in enterprise computing and data analytics. He has worked with some of the world’s largest organizations, helping them navigate technological transitions. His writing is known for its clarity, depth, and ability to connect historical lessons with modern challenges. Needham’s passion is making complex ideas accessible, and Disruptive Possibilities is a testament to that mission.
About the Publisher
O’Reilly Media is a globally respected publisher of technology and business books. Known for its distinctive animal-covered spines, O’Reilly has been at the forefront of documenting the digital revolution for over four decades. Their titles are trusted by professionals and academics alike for their accuracy, relevance, and forward-looking perspective. This hardcover edition upholds that legacy, offering a durable and premium reading experience.
Conclusion
Big data is not a passing trend—it is the new infrastructure of our world. Disruptive Possibilities: How Big Data Changes Everything is your guide to understanding and leveraging this transformation. Whether you are a student in Delhi or a professional in Chennai, this book will change the way you see data. Order your copy today from Bookshops.in and step into the future of information.
Quick Summary
Disruptive Possibilities: How Big Data Changes Everything by Jeffrey Needham is a compelling exploration of how big data is reshaping the operational landscape of enterprises and agencies. Published by O'Reilly Media, this hardcover book provides a historically-informed overview that traces the evolution of commodity supercomputing and the simplicity of big data technology. Needham argues that big data has more disruptive potential than any information technology developed in the past 40 years, offering unprecedented visibility into operational efficiency. The book delves into the differences between conventional clouds and Hadoop analytics clouds, and shows how organizations of any size can derive insight from the data tsunami engulfing them. It is ideal for Indian students, data scientists, IT managers, and business leaders who want to understand how to break legacy silos—infrastructure, organizational, or vendor—and embrace data-driven innovation. By purchasing from Bookshops.in, readers get a genuine hardcover edition with reliable delivery across India, supporting a premium local bookstore committed to quality service.
Book Highlights
Book Specifications
| ISBN-13 | 9781449369675 |
| ISBN-10 | 1449369677 |
| Publisher | O'Reilly Media |
| Language | English |
| Dimensions | 15.24 x 0.43 x 22.86 cm |
| Weight | 136 g |
| Category | Computer Science › Database Storage & Design |
| Genre | Technology |
| Original Language | English |
Frequently Asked Questions
What is Disruptive Possibilities about?
Is this book suitable for beginners?
What is the price of this book in India?
Does this book cover Hadoop?
Who is the publisher?
What is the ISBN of Disruptive Possibilities?
Is this book available in hardcover?
Can Indian students benefit from this book?
Does the book discuss legacy silos?
What is the rating of this book?
Is this book only for IT professionals?
Why should I buy from Bookshops.in?
Readers Also Search For
Customers Also Bought

Computer Science
Spring 2.5 Aspect Oriented Programming (English, Massimiliano Dess� | Massimiliano Dessi)

Computer Science
Asterisk 1.4 - the Professional's Guide (English, Colman Carpenter | David Duffett | Nik Middleton)

Computer Science
Advances In Natural Language Processing: 4th International Conference, Estal 2004, Alicante, Spain, October 20-22, 2004. Proceedings: 3230 (Lecture Notes in Computer Science)

Computer Science
Multimedia, Communication and Computing Application: Proceedings of the 2014 International Conference on Multimedia, Communication and Computing ... 2014), Xiamen, China, October 16-17, 2014

Computer Science
Cases on Database Technologies and Applications (Cases on Information Technology Series)

Computer Science
ASP.Net 3.5 Social Networking (English, Andrew Siemer)
Related Products
View All
Computer Science
Spring 2.5 Aspect Oriented Programming (English, Massimiliano Dess� | Massimiliano Dessi)

Computer Science
Asterisk 1.4 - the Professional's Guide (English, Colman Carpenter | David Duffett | Nik Middleton)

Computer Science
Advances In Natural Language Processing: 4th International Conference, Estal 2004, Alicante, Spain, October 20-22, 2004. Proceedings: 3230 (Lecture Notes in Computer Science)

Computer Science
Multimedia, Communication and Computing Application: Proceedings of the 2014 International Conference on Multimedia, Communication and Computing ... 2014), Xiamen, China, October 16-17, 2014

Computer Science
Cases on Database Technologies and Applications (Cases on Information Technology Series)

Computer Science
