As author Jeffrey Needham points out in this eye-opening book, big data can provide unprecedented insight into user habits, giving enterprises a huge market advantage. It will also inspire organizations to change the way they function."Disruptive Possibilities: How Big Data Changes Everything" takes you on a journey of discovery into the emerging world of big data, from its relatively simple technology to the ways it differs from cloud computing. But the big story of big data is the disruption of enterprise status quo, especially vendor-driven technology silos and budget-driven departmental silos. In the highly collaborative environment needed to make big data work, silos simply don't fit.Internet-scale computing offers incredible opportunity and a tremendous challenge--and it will soon become standard operating procedure in the enterprise. This book shows you what to expect.

    This urgent report is required reading, from defense expert P.W. Singer and Council on Foreign Relations fellow Emerson Brooking.

    Heather Hedden one of today s leading writers, instructors, and consultants on indexing and taxonomy topics walks readers through the process, displaying her trademark ability to present highly technical information in straightforward, comprehensible English. Drawing on numerous real-world examples, Hedden explains how to create terms and relationships, select taxonomy management software, design taxonomies for human versus automated indexing, manage enterprise taxonomy projects, and adapt taxonomies to various user interfaces. The result is a practical and essential guide for information professionals who need to effectively create or manage taxonomies, controlled vocabularies, and thesauri.

    Illuminations includes Benjamin's views on Kafka, with whom he felt the closest personal affinity, his studies on Baudelaire and Proust (both of whom he translated), his essays on Leskov and on Brecht's Epic Theater. Also included are his penetrating study on "The Work of Art in the Age of Mechanical Reproduction," an illuminating discussion of translation as a literary mode, and his thesis on the philosophy of history. Hannah Arendt selected the essays for this volume and prefaces them with a substantial, admirably informed introduction that presents Benjamin's personality and intellectual development, as well as his work and his life in dark times. Reflections the companion volume to this book, is also available as a Schocken paperback.Unpacking My Library, 1931The Task of the Translator, 1913The Storyteller, 1936Franz Kafka, 1934Some Reflections on Kafka, 1938What Is Epic Theater?, 1939On Some Motifs in Baudelaire, 1939The Image of Proust, 1929The Work of Art in the Age of Mechanical Reproduction, 1936Theses on the Philosophy of History, written 1940, pub. 1950

    Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas: Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself. The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research. Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    As the size and complexity of commercial software have grown, the gap between academic computer science and industry has widened. It's an open secret that there is little engineering in software engineering, which continues to rely not on codified scientific knowledge but on intuition and experience.Barr, who worked as a programmer for more than twenty years, describes how the industry has evolved, from the era of mainframes and Fortran to today's embrace of the cloud. He explains bugs and why software has so many of them, and why today's interconnected computers offer fertile ground for viruses and worms. The difference between good and bad software can be a single line of code, and Barr includes code to illustrate the consequences of seemingly inconsequential choices by programmers. Looking to the future, Barr writes that the best prospect for improving software engineering is the move to the cloud. When software is a service and not a product, companies will have more incentive to make it good rather than "good enough to ship."

    This volume aims to help readers respond proactively and help to lead the way to collaborative learning in schools.

    Authentic learning with student interaction may seem unattainable in only an hour. But it's not. The keys are communicating clearly with the course instructor, developing a realistic plan, and employing effective teaching strategies. With more than 30 years' combined experience in teaching information literacy, Buchanan and McDonough invite librarians to turn everyday challenges into instruction that is meaningful and relevant for students, supplying the knowledge and tools to make it happen.

    It continues with the libraries of colonial America, The Library of Congress, university libraries, and today's large public library systems. Throughout the twentieth century, libraries have both supported democratic institutions and have also been tools of Nazi and Soviet totalitarianism. At the dawn of the telecommunications and computer age, it is evident that libraries of the future will play a vital role in the preservation of crumbling books and documents, and in forming new ways of preserving our culture.

    He examines the individuals and institutions involved in making cultural products what they are: not only the writers and artists, but also the publishers, critics, dealers, galleries, and academies. He analyzes the structure of the cultural field itself as well as its position within the broader social structures of power.The essays in his volume examine such diverse topics as Flaubert's point of view, Manet's aesthetic revolution, the historical creation of the pure gaze, and the relationship between art and power.The Field of Cultural Production will be of interest to students and scholars from a wide range of disciplines: sociology and social theory, literature, art, and cultural studies.

    "Addiction by Design" takes readers into the intriguing world of machine gambling, an increasingly popular and absorbing form of play that blurs the line between human and machine, compulsion and control, risk and reward.Drawing on fifteen years of field research in Las Vegas, anthropologist Natasha Dow Schull shows how the mechanical rhythm of electronic gambling pulls players into a trancelike state they call the "machine zone," in which daily worries, social demands, and even bodily awareness fade away. Once in the zone, gambling addicts play not to win but simply to keep playing, for as long as possible--even at the cost of physical and economic exhaustion. In continuous machine play, gamblers seek to lose themselves while the gambling industry seeks profit. Schull describes the strategic calculations behind game algorithms and machine ergonomics, casino architecture and "ambience management," player tracking and cash access systems--all designed to meet the market's desire for maximum "time on device." Her account moves from casino floors into gamblers' everyday lives, from gambling industry conventions and Gamblers Anonymous meetings to regulatory debates over whether addiction to gambling machines stems from the consumer, the product, or the interplay between the two."Addiction by Design" is a compelling inquiry into the intensifying traffic between people and machines of chance, offering clues to some of the broader anxieties and predicaments of contemporary life.

    You d be up to your neck in normal forms before you even had a chance to wade. When Michael J. Hernandez needed a database design book to teach mere mortals like himself, there were none. So he began a personal quest to learn enough to write one. And he did.Now in its Second Edition, Database Design for Mere Mortals is a miracle for today s generation of database users who don t have the background -- or the time -- to learn database design the hard way. It s also a secret pleasure for working pros who are occasionally still trying to figure out what they were taught.Drawing on 13 years of database teaching experience, Hernandez has organized database design into several key principles that are surprisingly easy to understand and remember. He illuminates those principles using examples that are generic enough to help you with virtually any application.Hernandez s goals are simple. You ll learn how to create a sound database structure as easily as possible. You ll learn how to optimize your structure for efficiency and data integrity. You ll learn how to avoid problems like missing, incorrect, mismatched, or inaccurate data. You ll learn how to relate tables together to make it possible to get whatever answers you need in the future -- even if you haven t thought of the questions yet.If -- as is often the case -- you already have a database, Hernandez explains how to analyze it -- and leverage it. You ll learn how to identify new information requirements, determine new business rules that need to be applied, and apply them.Hernandez starts with an introduction to databases, relational databases, and the idea and objectives of database design. Next, you ll walk through the key elements of the database design process: establishing table structures and relationships, assigning primary keys, setting field specifications, and setting up views. Hernandez s extensive coverage of data integrity includes a full chapter on establishing business rules and using validation tables.Hernandez surveys bad design techniques in a chapter on what not to do -- and finally, helps you identify those rare instances when it makes sense to bend or even break the conventional rules of database design.There s plenty that s new in this edition. Hernandez has gone over his text and illustrations with a fine-tooth comb to improve their already impressive clarity. You ll find updates to reflect new advances in technology, including web database applications. There are expanded and improved discussions of nulls and many-to-many relationships; multivalued fields; primary keys; and SQL data type fields. There s a new Quick Reference database design flowchart. A new glossary. New review questions at the end of every chapter.Finally, it s worth mentioning what this book isn t. It isn t a guide to any specific database platform -- so you can use it whether you re running Access, SQL Server, or Oracle, MySQL or PostgreSQL. And it isn t an SQL guide. (If that s what you need, Michael J. Hernandez has also coauthored the superb SQL Queries for Mere Mortals). But if database design is what you need to learn, this book s worth its weight in gold. Bill CamardaBill Camarda is a consultant, writer, and web/multimedia content developer. His 15 books include Special Edition Using Word 2000 and Upgrading & Fixing Networks for Dummies, Second Edition.

    This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

    This text concisely describes the Python language and its programming environment for those readers already familiar with languages such as C and C++.