What is Big Data, and why should you care?Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims.But how well do you know big data?You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun?Yes. Yes, you can.Timandra Harkness writes comedy, not computer code. The only programmes she makes are on the radio. If you can read a newspaper you can read this book.Starting with the basics – what IS data? And what makes it big? – Timandra takes you on a whirlwind tour of how people are using big data today: from science to smart cities, business to politics, self-quantification to the Internet of Things. Finally, she asks the big questions about where it's taking us; is it too big for its boots, or does it think too small? Are you a data point or a human being? Will this book be full of rhetorical questions? No. It also contains puns, asides, unlikely stories and engaging people, inspiring feats and thought-provoking dilemmas. Leaving you armed and ready to decide what you think about one of the decade's big ideas: big data.
Published by: Bloomsbury Sigma | Publication date: 06/02/2016Kindle book details: Kindle Edition, 320 pages
Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform.
- Discusses how companies need to clearly define what it is they need to know
- Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions
- Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them
- Includes many high-profile case studies from the author's work with some of the world's best known brands
Published by: Wiley | Publication date: 01/09/2015Kindle book details: Kindle Edition, 233 pages
Is the Brexit vote successful big data politics or the end of democracy? Why do airlines overbook, and why do banks get it wrong so often? How does big data enable Netflix to forecast a hit, CERN to find the Higgs boson and medics to discover if red wine really is good for you? And how are companies using big data to benefit from smart meters, use advertising that spies on you and develop the gig economy, where workers are managed by the whim of an algorithm?The volumes of data we now access can give unparalleled abilities to make predictions, respond to customer demand and solve problems. But Big Brother’s shadow hovers over it. Though big data can set us free and enhance our lives, it has the potential to create an underclass and a totalitarian state. With big data ever-present, you can’t afford to ignore it. Acclaimed science writer Brian Clegg - a habitual early adopter of new technology (and the owner of the second-ever copy of Windows in the UK) - brings big data to life.
Published by: Icon Books Ltd | Publication date: 08/03/2017Kindle book details: Kindle Edition, 176 pages
Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage
Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs across a broad range of business units and applications.Find out how an ecommerce company avoided two million product returns per year, how a newspaper saw triple-digit annual growth in digital subscriptions, how researchers in England learned to better detect pending cardiovascular problems, and how AI programs taught themselves to win games using techniques that even their human programmers didn’t understand, all thanks to big data. Find out also how one company realized it could swap a million dollar hardware system with a twenty thousand dollar replacement. With simple and straightforward chapters that allow you to map examples onto your own business, Big Data Demystified will help you:· Know which data is most useful to collect now and why it’s important to start collecting that data as soon as possible.· Understand big data and data science and how they can help you reach your business goals and gain competitive advantage.· Use big data to understand where you are now and how you can improve in the future. · Understand factors in choosing a big data system, including whether to go with cloud-based solutions.· Construct your big data team in a way that supports an effective strategy and helps make your business more data-driven.BIG DATA MAKES A BIG DIFFERENCE“Read this book! It is an essential guide to using data in a practical way that drives results." Ian McHenry, CEO Beyond Pricing“This is the book we’ve been missing: big data explained without the complexity.” Marc Salomon, Professor in Decision Sciences and Dean at University of Amsterdam Business School"Big Data for the rest of us! I have never come across a book that is so full of practical advice, actionable examples and helpful explanations. Read this one book and start executing Big Data at your workplace tomorrow!"Tobias Wann CEO at @Leisure Group
Published by: FT Publishing International | Publication date: 02/12/2018Kindle book details: Kindle Edition, 240 pages
A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabricWe live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged according to the same rules, and bias is eliminated. And yet, as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, they reinforce discrimination. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters, and monitor our health. O'Neil calls on modellers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.
Published by: Penguin | Publication date: 09/06/2016Kindle book details: Kindle Edition, 220 pages
New and expanded edition.An International Bestseller - Over One Million Copies Sold!Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award.Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why.We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
Published by: John Murray | Publication date: 03/14/2013Kindle book details: Kindle Edition, 320 pages, ISBN 9781848547902
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 simply a quantitative one. The term refers both to the new technologies involved, and to the way it can be used by business and government. Dawn E. Holmes uses a variety of case studies to explain how data is stored, analysed, and exploited by a variety of bodies from big companies to organizations concerned with disease control. Big data is transforming the way businesses operate, and the way medical research can be carried out. At the sametime, it raises important ethical issues; Holmes discusses cases such as the Snowden affair, data security, and domestic smart devices which can be hijacked by hackers.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Published by: OUP Oxford | Publication date: 11/16/2017Kindle book details: Kindle Edition, 151 pages
Markets have long been acknowledged to be a superior mechanism for managing resources but until the advent of big data, they largely functioned better in theory than in practice. Now, as ideal markets are within reach because of vastly greater access to information, we are on the verge of a major disruption. As data becomes a more valuable asset than cash, the rules for surviving and thriving are changing.Reinventing Capitalism is a provocative look at how data is reinventing markets and, in so doing, is ushering in an era where the firm is no longer predominant. With richer and more comprehensive information about human wants and needs, an economy powered by data offers the possibility of increased abundance, equality, and resilience. The data-driven markets that will thrive in this environment are far better than firms at organizing human endeavors, meaning that finance driven capitalism is being displaced by its more efficient, more sustainable, and more democratic disruptor: data capitalism.
Published by: John Murray | Publication date: 02/22/2018Kindle book details: Kindle Edition, 288 pages
January 2016This whitepaper provides an overview of the different big data options available in the AWS Cloud for architects, data scientists, and developers. For each of the big data analytics options, this paper describes the following: Ideal usage patterns, Performance, Durability and availability, Cost model, Scalability, Elasticity, Interfaces, and Anti-patterns. The paper concludes with scenarios that showcase the analytics options in use, as well as additional resources for getting started with big data analytics on AWS.Services covered in this whitepaper include Amazon Kinesis Streams, AWS Lambda, Amazon ElasticMapReduce, Amazon Machine Learning, Amazon DynamoDB, Amazon Redshift, Amazon Elasticsearch Service, and Amazon QuickSight. In addition, the paper also touches on Amazon EC2 instances, available as an option for self-managed big data applications.
Published by: Amazon Web Services | Publication date: 09/18/2016Kindle book details: Kindle Edition, 57 pages
Die Digitalisierung der Gesellschaft mit ihren neuen Kommunikationspraktiken und Unterhaltungsmöglichkeiten hat inzwischen alle Lebensbereiche der Alltags- und Berufswelt durchdrungen und nachhaltig verändert. Das betrifft auch die AdressatInnen und Professionellen der Sozialen Arbeit sowie Lehre und Studium an den Hochschulen. Diese aktuellen mediengestützten Praxen bringen offensichtliche Veränderungen mit sich, werden aber vor allem auch von versteckten Wirkungen und Nebenwirkungen begleitet. Diese zu erfassen und zu erklären, ist Anliegen des Bandes.
Published by: Beltz Juventa | Publication date: 04/09/2018Kindle book details: Kindle Edition, 178 pages