What is Big Data & why should you care? Big data knows where you've been & who your friends are It knows what you like & what makes you angry It can predict what you'll buy where you'll be the victim of crime & 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? & 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 & engaging people inspiring feats & thought-provoking dilemmas Leaving you armed & ready to decide what you think about one of the decade's big ideas big data

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Is the Brexit vote successful big data politics or the end of democracy? Why do airlines overbook & why do banks get it wrong so often? How does big data enable Netflix to forecast a hit CERN to find the Higgs boson & medics to discover if red wine really is good for you? & how are companies using big data to benefit from smart meters use advertising that spies on you & 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 & solve problems But Big Brother's shadow hovers over it Though big data can set us free & enhance our lives it has the potential to create an underclass & 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

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Both Traditional Students & Working Professionals Acquire the Skills to Analyze Social Problems Big Data & Social Science A Practical Guide to Methods & Tools shows how to apply data science to real-world problems in both research & the practice The book provides practical guidance on combining methods & tools from computer science statistics & social science This concrete approach is illustrated throughout using an important national problem the quantitative study of innovation The text draws on the expertise of prominent leaders in statistics the social sciences data science & computer science to teach students how to use modern social science research principles as well as the best analytical & computational tools It uses a real-world challenge to introduce how these tools are used to identify & capture appropriate data apply data science models & tools to that data & recognize & respond to data errors & limitations For more information including sample chapters & news please visit the author's website ...

The book proposes a systematic approach to big data collection documentation & development of analytic procedures that foster collaboration on a large scale This approach designated as "data factoring" emphasizes the need to think of each individual dataset developed by an individual project as part of a broader data ecosystem easily accessible & exploitable by parties not directly involved with data collection & documentation Furthermore data factoring uses & encourages pre-analytic operations that add value to big data sets especially recombining & repurposing The book proposes a research-development agenda that can undergird an ideal data factory approach Several programmatic chapters discuss specialized issues involved in data factoring (documentation meta-data

Specification building flexible yet comprehensive data ontologies usability issues involved in collaborative tools etc) The book also presents case studies for data factoring & processing that can lead to building better scientific collaboration & data sharing strategies & tools Finally the book presents the teaching utility of data factoring & the ethical & privacy concerns related to it Chapter 9 of this book is available open access under a CC BY 40 license at linkspringercom

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Find the right big data solution for your business or organization Big data management is one of the major challenges facing business industry & not-for-profit organizations Data sets such as customer transactions for a mega-retailer weather patterns monitored by meteorologists or social network activity can quickly outpace the capacity of traditional data management tools If you need to develop or manage big data solutions you'll appreciate how these four experts define explain & guide you through this new & often confusing concept You'll learn what it is why it matters & how to choose & implement solutions that work Effectively managing big data is an issue of growing importance to businesses not-for-profit organizations government & IT professionals Authors are experts in information management big data & a variety of solutions Explains big data in detail & discusses how to select & implement a solution security concerns to consider data storage & presentation issues analytics & much more Provides essential information in a no-nonsense easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion & helps you take charge of big data solutions for your organization ...

The best-selling author of Big Data is back this time with a unique & in-depth insight into how specific companies use big data Big data is on the tip of everyone's tongue Everyone understands its power & importance but many fail to grasp the actionable steps & resources required to utilise it effectively 320 pages Marr Bernard ...

Learn how to integrate full-stack open source big data architecture & to choose the correct technology-Scala Spark Mesos Akka Cassandra & Kafka-in every layer Big data architecture is becoming a requirement for many different enterprises So far however the focus has largely been on collecting aggregating & crunching large data sets in a timely manner In many cases now organizations need more than one paradigm to perform efficient analyses Big Data SMACK explains each of the full-stack technologies & more importantly how to best integrate them It provides detailed coverage of the practical benefits of these technologies & incorporates real-world examples in every situation This book focuses on the problems & scenarios solved by the architecture as well as the solutions provided by every technology It covers the six main concepts of big data architecture & how integrate replace & reinforce every layer The language Scala The engine Spark (SQL MLib Streaming Graph X) The container Mesos Docker The view Akka The storage Cassandra The message broker Kafka What You Will Learn Make big data architecture without using complex Greek letter architectures Build a cheap but effective cluster infrastructure Make queries reports & graphs that business demands Manage & exploit unstructured & No-SQL data sources Use tools to monitor the performance of your architecture Integrate all technologies & decide which ones replace & which ones reinforce Who This Book Is For Developers data architects & data scientists looking to integrate the most successful big data open stack architecture & to choose the correct technology in every layer ...

Since long before computers were even thought of data has been collected & 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 & continues to grow exponentially It

Includes:: all our uploaded documents video & 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 & to the way it can be used by business & government Dawn E Holmes uses a variety of case studies to explain how data is stored analysed & exploited by a variety of bodies from big companies to organizations concerned with disease control Big data is transforming the way businesses operate & the way medical research can be carried out At the same time it raises important ethical issues; Holmes discusses cases such as the Snowden affair data security & 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 & enthusiasm to make interesting & challenging topics highly readable

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Tracklist Hold Your Fire Avalanche Say Yes Saccharine Lux Veronica VITRIOLKitty Pride Still My Dream Dont Forget Idyllwild (Never Stop) ...

The ultimate book of vehicles from the creators of the bestselling Dig Dig Digging! 32 pages Mayo Margaret ...