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BIG CHERRY HOLLER, the extraordinary sequel to BIG STONE GAP, takes us back to the mountain life that enchanted us in Adriana Trigiani's best selling debut novel. It's been eight years since the town pharmacist and long time spinster Ave Maria Mulligan married coal miner Jack MacChesney. With her new found belief in love and its possibilities, Ave Maria makes a life for herself and her growing family, hoping that her fearless leap into commitment will make happiness stay. What she didn't count on was that fate, life, and the ghosts of the past would come to haunt her and, eventually, test the love she has for her husband. The mountain walls that have protected her all of her life can not spare Ave Maria the life lessons she must learn.BIG CHERRY HOLLER is the story of a marriage, revealing the deep secrets, the power struggle, the betrayal and the unmet expectations that exist between husband and wife. It is the story of a community that must reinvent itself as it comes to grips with the decline of the coal mining industry. It is the story of an extended family, the people of Big Stone Gap, who are there for one another especially when times are tough--including bookmobile librarian and sexpert Iva Lou Wade Makin, savvy businesswoman Pearl Grimes, crusty cashier Fleeta Mullins, and Rescue Squad captain Spec Broadwater, who faces the complications of his double life. Ave Maria's best friend Theodore Tipton, now band director at the University of Tennessee, continues to be her chief counselor and conscience as he reaches the pinnacle of marching band success. When Ave Maria takes her daughter to Italy for the summer, she meets a handsome stranger who offers her a life beyond the Blue Ridge Mountains. Ave Maria is forced to confront what is truly important: to her, to her marriage, and to her family. Brimming with humor, wisdom, honesty, and the drama and local color of mountain life from Virginia to Italy, BIG CHERRY HOLLER is a deeply felt, brilliantly evoked story of two lovers who have lost their way and their struggle to find one another again.From the Hardcover edition.
In the hilarious and heartwarming sequel to the bestselling "Big Stone Gap," Ave Maria and Jack MacChesney find their marriage strained by a summer spent apart.
"Pepe is a delight " --"RT Book Reviews (4 stars)"In matters of courage, there is no bigger dog than me "P. I. Geri Sullivan and her talking Chihuahua, Pepe, are always hungry to sink their teeth into a new case. So if helping a hapless husband win back his wayward wife means sneaking into a cult of dog-worshippers, porque no? Inside the believers' rural retreat, Pepe perks up his ears when the charismatic leader pegs him as the next incarnation of the spirit Dogawanda. But the discovery of a body, murdered between mantras, suggests there's more chicanery than channeling going on in this suspicious sect. While wild wolves howl, a killer is on the prowl--and it's up to Geri and her canine compadre to dig up the dirt. Praise for the Barking Detective Mysteries"Crafty plotting will keep you engrossed and have you eagerly awaiting the next book. " --"RT Book Reviews," 4 Stars"Move over, Scooby-Doo, there's a new dog in town " --Jennie Bentley"I look forward to Pepe's next adventure " --Bernadette Pajer, author of "A Spark of Death" "A fun twist on the typical P. I. partnership. " --Simon Wood"Readers will sit up and beg for more. " --Sushi the Shih Tzu, canine star of the "Trash 'n' Treasures" mysteries by Barbara Allan Help Support Pet Adoption See Details Inside
Alan Khazei has pioneered ways to empower citizens to make a difference throughout his life. As a young graduate from Harvard Law School, he turned down lucrative offers from corporate law firms to found a non-profit called City Year with his friend, Michael Brown. City Year allowed young people to serve their communities--first in Boston, now in twenty cities across the U.S. and in Johannesburg, South Africa, and London, U.K.--through mentoring, tutoring, and leading children. It also allowed Khazei to be at the forefront of a generation of innovators who invented new methods of social entrepreneurship. Khazei not only built and ran a hugely successful organization with Brown, he explored how social change could be achieved through Congress, popular movements, and motivated alliances of groups. Khazei led the effort to defend AmeriCorps and then through his second organization, Be The Change, Inc., worked to secure its longterm future through the passage of the bipartisan Edward M. Kennedy Serve America Act. This journey--from the most local of grassroots engagement to the halls of Washington--is extraordinary in itself and a vital model for anyone despairing that change can ever be effected in a sclerotic political system. It can. Khazei has already proved it.
Her husband in jail, a desperate young woman takes refuge among sharecroppersOnce, Cass Neely's farm stretched across the entire valley, but decades of bad decisions and rotten luck have forced him to sell off nearly every inch. He and his son farm the meager remains of a once-great property, living in a grim downward spiral--until Cass's daughter-in-law, Joy, moves in. She's by far the most beautiful thing this county has ever seen, but she's flat broke since her husband, Sewell, was put away for armed robbery. She's also prickly, lazy, and vain--traits that don't sit well with hardscrabble living--and it isn't long before she starts to get a violent case of cabin fever. As the rains bear down and the river starts to threaten the cotton, Sewell escapes from police custody and heads for home. Come hell or high water, the Neely family will stick together, even if it means disaster.
President Bush has said coal is America's "economic destiny." Despite a century-long legacy that has claimed millions of lives and ravaged the environment, why has coal become hot again? Few of us realize that coal already supplies more than half the energy needed to power our iPods, laptops, lightsanything we use that consumes electricity. Every time we flip on a switch, we burn a lump of coal. Our desire to find a homegrown alternative to Mideast oil, the rising cost of oil and natural gas, and the fossil fuelfriendly mood in Washington will soon push our coal consumption through the roof. Because we have failed to develop alternative energy sources, coal has become the default fuel for the twenty-first century. In the tradition of Rachel Carson and Eric Schlosser, the veteran journalist Jeff Goodell examines the faulty assumptions underlying coal's revival and shatters the myth of cheap coal energy. In a compelling blend of hard-hitting investigative reporting, history, and business analysis, Big Coal illuminates the stark economic imperatives America faces and the collusion of business and politics that has already set us on the dangerous course. Filled with troubling environmental and health revelations, Big Coal shows us that our shiny white iPod economy is propped up by dirty black rocks.
When Chuck and Dakota find a magic seashell complete with a wish-granting genie inside, their first wish is for a never-ending supply of chocolate-covered bananas. But when Dakota wishes to become a REAL cow so he doesn't have to wear his cowmouflage anymore, things get messy and the residents of Bermooda mistake him for an imposter! The boys soon discover that the magic seashell is having some fun with them by creating panic and havoc across the island. Can Chuck and Dakota work together to get everything back to normal before all the cows go mad?
A funny, clear-eyed view of the realities of teenage love from National Book Award winner Pete Hautman. Jen and Wes do not "meet cute." They do not fall in love at first sight. They do not swoon with scorching desire. They do not believe that they are instant soul mates destined to be together forever. This is not that kind of love story. Instead, they just hang around in each other's orbits...until eventually they collide. And even after that happens, they're still not sure where it will go. Especially when Jen starts to pity-date one of Wes's friends, and Wes makes some choices that he immediately regrets. From National Book Award winner Pete Hautman, this is a love story for people not particularly biased toward romance. But it is romantic, in the same way that truth can be romantic and uncertainty can be the biggest certainty of all.
Vehicle-obsessed boys and girls can ride along with Big Frank and the rest of the firefighting crew on one busy day as they race to the scene of an accident, teach schoolchildren about fire safety, and battle a raging brush fire. Detail-packed full-color illustrations will fascinate young readers.From the Trade Paperback edition.
What would you do if every spark of electricity suddenly vanished, as if somebody had flipped a switch on the entire planet? Cars won't start, the heat shuts off, there's no water in your faucet, and your radio, TV, and flashlight go dark. Everyone in Charlie's small town is baffled. But as time passes, lawlessness erupts and takes an ugly turn. When the market and pharmacy are torched by an anti-Semitic arsonist, Charlie realizes his mother will die without her medicine. So he dons skis and heads off alone, seeking the nearest hospital. After traveling 50 miles through brutal ice and snow, Charlie encounters a burned-out, looted city of terrified citizens. Will he be able to save his mom? Heroic, eloquent, and unforgettable, The Big Dark raises timely questions about responsibility, tolerance, and love.
Leverage big data to add value to your businessSocial media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value.Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data.Shows how to decompose current business strategies in order to link big data initiatives to the organization's value creation processesExplores different value creation processes and modelsExplains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related rolesProvides methodology worksheets and exercises so readers can apply techniquesIncludes real-world examples from a variety of organizations leveraging big dataBig Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
Convert the promise of big data into real world resultsThere 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 knowOutlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questionsAddresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand themIncludes many high-profile case studies from the author's work with some of the world's best known brands
Go ahead, be skeptical about big data. The author was-at first.When the term "big data" first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind.Now, in clear, conversational language, Davenport explains what big data means-and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold.This book will help you understand: Why big data is important to you and your organization What technology you need to manage it How big data could change your job, your company, and your industry How to hire, rent, or develop the kinds of people who make big data work The key success factors in implementing any big data project How big data is leading to a new approach to managing analyticsWith dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities-from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.
A practical guide to leveraging your data to spur innovation and growth Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth - you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation. Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. Build an effective analytics team, and empower them with the right tools Learn how big data drives both evolutionary and revolutionary innovation, and who should be responsible Identify data collection and analysis opportunities and implement action plans Design the platform that suits your company's current and future needs Quantify performance with statistics, programming, and research for a more complete picture of operations Effective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics can show you how to use what you already have and acquire what you need to succeed.
With big data analytics comes big insights into profitabilityBig data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency.With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes:A complete overview of big data and its notable characteristicsDetails on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databasesComprehensive coverage of data mining, text analytics, and machine learning algorithmsA discussion of explanatory and predictive modeling, and how they can be applied to decision-making processesBig Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.
Finding patterns in massive event streams can be difficult, but learning how to find them doesn't have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You'll gain a practical, actionable view of big data by working with real data and real problems.Perfect for beginners, this book's approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you'll also learn how to use Apache Pig to process data.Learn the necessary mechanics of working with Hadoop, including how data and computation move around the clusterDive into map/reduce mechanics and build your first map/reduce job in PythonUnderstand how to run chains of map/reduce jobs in the form of Pig scriptsUse a real-world dataset--baseball performance statistics--throughout the bookWork with examples of several analytic patterns, and learn when and where you might use them
Find the right big data solution for your business or organizationBig data management is one of the major challenges facing business, industry, and 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, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work.Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionalsAuthors are experts in information management, big data, and a variety of solutionsExplains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much moreProvides essential information in a no-nonsense, easy-to-understand style that is empoweringBig Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques About This Book * Identify, collect, and analyze Hadoop evidence forensically. * Learn about Hadoop's internals and Big Data file storage concepts * A step by step guide to help you perform forensic analysis using freely available tools Who This Book Is For This book is meant for statisticians and forensic analysts with basic knowledge of digital forensics. They do not need to know Big Data Forensics. If you are an IT professional, law enforcement professional, legal professional, or a student interested in Big Data and forensics, this book is the perfect hands-on guide for learning how to conduct Hadoop forensic investigations. Each topic and step in the forensic process is described in accessible language. What You Will Learn * Understand Hadoop internals and file storage * Collect and analyze Hadoop forensic evidence * Perform complex forensic analysis for fraud and other investigations * Use state-of-the-art forensic tools * Conduct interviews to identify Hadoop evidence * Create compelling presentations of your forensic findings * Understand how Big Data clusters operate * Apply advanced forensic techniques in an investigation, including file carving, statistical analysis, and more In Detail Big Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters. Understanding Hadoop's operational structure and performing forensic analysis with court-accepted tools and best practices will help you conduct a successful investigation. Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop's internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience. Style and approach This book is a complete guide that follows every step of the forensic analysis process in detail. You will be guided through each key topic and step necessary to perform an investigation. Hands-on exercises are presented throughout the book, and technical reference guides and sample documents are included for real-world use.
Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Resultsby Bernard Marr
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter
"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 data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
Leverage big data insights to improve customer experiences and insure business successMany of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and executing antiquated marketing approaches. As a result, consumers are losing patience, shareholders are clamoring for growth and differentiation, and marketers are left struggling to untangle the massive mess. Big Data Marketing provides a strategic road map for executives who want to clear the chaos and start driving competitive advantage and top line growth. Using real-world examples, non-technical language, additional downloadable resources, and a healthy dose of humor, Big Data Marketing will help you discover the remedy offered by data-driven marketing.Explains how marketers can use data to learn what they need to knowDetails strategies to drive marketing relevance and Return On Marketing Investment (ROMI)Provides a five-step approach in the journey to a more data-driven marketing organizationAuthor Lisa Arthur, the Chief Marketing Officer for Teradata Applications, the leader in integrated marketing software, meets with thousands of CMOs and marketing professionals annually through public speaking and eventsBig Data Marketing reveals patterns in your customers' behavior and proven ways to elevate customer experiences. Leverage these insights to insure your business's success.
Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to "think like a data scientist" as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to "think like a data scientist" Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.
The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data are available to everyone, anywhere on the planet. The number of Internet users in 2014 was 2.9 billion or 41% of the world population. The need for knowledge is becoming apparent in order to understand this multitude of data. We must educate, inform and train the masses. The development of related technologies, such as the advent of the Internet, social networks, "cloud-computing" (digital factories), has increased the available volumes of data. Currently, each individual creates, consumes, uses digital information: more than 3.4 million e-mails are sent worldwide every second, or 107,000 billion annually with 14,600 e-mails per year per person, but more than 70% are spam. Billions of pieces of content are shared on social networks such as Facebook, more than 2.46 million every minute. We spend more than 4.8 hours a day on the Internet using a computer, and 2.1 hours using a mobile. Data, this new ethereal manna from heaven, is produced in real time. It comes in a continuous stream from a multitude of sources which are generally heterogeneous. This accumulation of data of all types (audio, video, files, photos, etc.) generates new activities, the aim of which is to analyze this enormous mass of information. It is then necessary to adapt and try new approaches, new methods, new knowledge and new ways of working, resulting in new properties and new challenges since SEO logic must be created and implemented. At company level, this mass of data is difficult to manage. Its interpretation is primarily a challenge. This impacts those who are there to "manipulate" the mass and requires a specific infrastructure for creation, storage, processing, analysis and recovery. The biggest challenge lies in "the valuing of data" available in quantity, diversity and access speed.
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?<P><P> 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
Johnson's savagely funny [book] is a grunt's-eye view of fear and loathing, arrogance and insanity in a dysfunctional, dystopian closed community. It's like M*A*S*H on ice, a bleak, black comedy."--The Times of London
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