Big Data: A Beginner's Introduction - Image 1

£41.21

Routledge Big Data: A Beginner's Introduction

Name: Big Data: A Beginner's Introduction
Brand: Routledge
Price: 30.86 GBP
Availability: InStock

Anthropology & Sociology

Price History & Forecast

Last 86 days • 86 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 86 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £31 (39 days, 45.3%)

Price range: £31 - £41

Price levels: 3 different prices over 86 days

Description

Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined. Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands. The latest offering from the authors of Artificial Intelligence: Evolution, Ethics and Public Policy, this accessibly written volume is essential for the researcher in science and technology studies, media and culture studies, public policy and digital humanities, as well as being a beacon for the general reader to make sense of the digital age.

Key Features

New Store Stock

Product Specifications

Brand: Routledge
Format: paperback
ASIN: 0367148900
Category: Books > Subjects > Biography > Medical, Legal & Social Sciences > Anthropology & Sociology
Domain: Amazon UK
Release Date: 19 September 2019
Listed Since: 11 May 2019

Barcode

No barcode data available

Routledge Big Data: A Beginner's Introduction

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Big Data: A Beginner's Introduction

Big Data for Managers: Creating Value

Big Data: An Exploration of Opportunities, Values, and Privacy Issues

Trouble With Big Data, The: How Datafication Displaces Cultural Practices (Bloomsbury Studies in Digital Cultures)

Big Data in Organizations and the Role of Human Resource Management: A Complex Systems Theory-Based Conceptualization: 5 (Personalmanagement und Organisation)

The Business of Data: Commercial Opportunities and Social Challenges in a World Fuelled by Data (Innovation and Technology Horizons)

The Big Data Agenda: Data Ethics and Critical Data Studies (Critical, Digital and Social Media Studies)

Big Data at Work: The Data Science Revolution and Organizational Psychology (SIOP Organizational Frontiers Series)

Data Management and Analysis: Case Studies in Education, Healthcare and Beyond: 65 (Studies in Big Data, 65)

Big Data Analytics: Harnessing Data for New Business Models

AI and Big Data: Disruptive Regulation (Elgar Studies in Law and Regulation)

Big Data Analytics: Methods and Applications

Data Analytics for Business: Foundations and Industry Applications

Ethical Reasoning in Big Data: An Exploratory Analysis (Computational Social Sciences)

Advances in Data Science: Methodologies and Applications: 189 (Intelligent Systems Reference Library, 189)

Data Analytics and Big Data (Information Systems, Web and Pervasive Computing)

Data Analysis: An Introduction: 103 (Quantitative Applications in the Social Sciences)

Big Data and Networks Technologies: 81 (Lecture Notes in Networks and Systems, 81)

Big Data?: Qualitative Approaches to Digital Research: 13 (Studies in Qualitative Methodology, 13)

Managing and Sharing Research Data: A Guide to Good Practice

Making with Data: Physical Design and Craft in a Data-Driven World (AK Peters Visualization Series)

Data Politics: Worlds, Subjects, Rights (Routledge Studies in International Political Sociology)

Thinking Big Data in Geography: New Regimes, New Research

A Hands-On Introduction to Data Science with Python