Big Data

A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior. In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing. www.big-data-book.com

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  • Author : Viktor Mayer-Schönberger
  • Publisher : Houghton Mifflin Harcourt
  • Pages : 240 pages
  • ISBN : 0544002938
  • Rating : 3/5 from 8 reviews
CLICK HERE TO GET THIS BOOKBig Data

Big Data

Big Data
  • Author : Viktor Mayer-Schönberger,Kenneth Cukier
  • Publisher : Houghton Mifflin Harcourt
  • Release : 05 March 2013
GET THIS BOOKBig Data

A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big

Big Data: a Very Short Introduction

Big Data: a Very Short Introduction
  • Author : Dawn E. Holmes
  • Publisher : Oxford University Press
  • Release : 23 October 2017
GET THIS BOOKBig Data: a Very Short Introduction

Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated each day became huge, and continues to grow exponentially. It includes all our uploaded documents, video, and photos, all our social media traffic, our online shopping, even the GPS data from our cars. "Big Data" represents a qualitative change, not

Big Data

Big Data
  • Author : Kuan-Ching Li,Hai Jiang,Laurence T. Yang,Alfredo Cuzzocrea
  • Publisher : CRC Press
  • Release : 23 February 2015
GET THIS BOOKBig Data

As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages.Pre

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
  • Author : Paul Zikopoulos,Chris Eaton
  • Publisher : McGraw Hill Professional
  • Release : 22 October 2011
GET THIS BOOKUnderstanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage

Knowledge Discovery in Big Data from Astronomy and Earth Observation

Knowledge Discovery in Big Data from Astronomy and Earth Observation
  • Author : Petr Skoda,Fathalrahman Adam
  • Publisher : Unknown Publisher
  • Release : 01 March 2020
GET THIS BOOKKnowledge Discovery in Big Data from Astronomy and Earth Observation

Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data

Big Data and HPC: Ecosystem and Convergence

Big Data and HPC: Ecosystem and Convergence
  • Author : L. Grandinetti,S.L. Mirtaheri,R. Shahbazian
  • Publisher : IOS Press
  • Release : 22 August 2018
GET THIS BOOKBig Data and HPC: Ecosystem and Convergence

Due to the increasing need to solve complex problems, high-performance computing (HPC) is now one of the most fundamental infrastructures for scientific development in all disciplines, and it has progressed massively in recent years as a result. HPC facilitates the processing of big data, but the tremendous research challenges faced in recent years include: the scalability of computing performance for high velocity, high variety and high volume big data; deep learning with massive-scale datasets; big data programming paradigms on multi-core;

Thick Big Data

Thick Big Data
  • Author : Dariusz Jemielniak
  • Publisher : Oxford University Press, USA
  • Release : 01 February 2020
GET THIS BOOKThick Big Data

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data

Big Data Mining for Climate Change

Big Data Mining for Climate Change
  • Author : Zhihua Zhang
  • Publisher : Unknown Publisher
  • Release : 01 December 2019
GET THIS BOOKBig Data Mining for Climate Change

Big Data Mining for Climate Change addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is growing exponentially. This book walks through the latest research and how to navigate the resources available using big data applications. It is appropriate for scientists and advanced students studying

Big Data Computing

Big Data Computing
  • Author : Rajendra Akerkar
  • Publisher : CRC Press
  • Release : 05 December 2013
GET THIS BOOKBig Data Computing

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption

Big Data, Little Data, No Data

Big Data, Little Data, No Data
  • Author : Christine L. Borgman
  • Publisher : MIT Press
  • Release : 17 April 2021
GET THIS BOOKBig Data, Little Data, No Data

An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “Big Data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more

Big Data

Big Data
  • Author : Balamurugan Balusamy,Nandhini Abirami R,Amir H. Gandomi
  • Publisher : John Wiley & Sons
  • Release : 27 April 2021
GET THIS BOOKBig Data

This book offers comprehensive coverage of Big Data tools, terminologies and technologies for researchers, business professionals and graduates. This book begins with an overview of what Big Data is and emphasizes all the key concepts of big data end to end. Big Data concepts, technologies, terminologies and storing, processing and analysis techniques and much more – are all logically organized and reinforced by diagrams and case studies. This book refines readers’ understanding of Big Data with in-depth analysis of key concepts.

Big Data

Big Data
  • Author : Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung
  • Publisher : Springer
  • Release : 05 May 2014
GET THIS BOOKBig Data

This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise

Networking for Big Data

Networking for Big Data
  • Author : Shui Yu,Xiaodong Lin,Jelena Misic,Xuemin (Sherman) Shen
  • Publisher : CRC Press
  • Release : 28 July 2015
GET THIS BOOKNetworking for Big Data

Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications. The book is divided into four sections: introduction to Big Data, networking theory and design for Big Data, networking security for Big Data, and platforms and systems for Big Data applications. Focusing on key networking issues in Big