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Gain a solid foundation in database design and implementation with the practical and easy-to-understand approach in DATABASE SYSTEMS: DESIGN, IMPLEMENTATION, AND MANAGEMENT, 12E. Filled with diagrams, illustrations, and tables, this market-leading text provides in-depth coverage of database design. You learn the key to successful database implementation: proper design of databases to fit within a larger strategic view of the data environment. Renowned for its clear, straightforward writing style, this text provides an outstanding balance of theory and practice. You gain the hands-on skills to make you attractive to employers. Updates include the latest coverage of cloud data services and a new chapter on Big Data Analytics and NoSQL, including related Hadoop technologies. In addition, new review questions, problem sets, and cases offer multiple opportunities to test your understanding and develop useful design skills.
A GUIDE TO SQL, Ninth Edition, provides an effective introduction to SQL programming using straightforward instruction, extensive hands-on exercises, and a strong foundation in real-world business applications. The Ninth Edition builds on the longstanding success of this proven text by presenting basic SQL commands in the context of a running case, in which a business uses SQL to manage orders, items, customers, and sales reps. The authors emphasize that fundamental principles and practices apply regardless of the database environment chosen, and they include examples from the latest versions of Oracle (R) and Microsoft (R) Access (R), and SQL Server throughout the text.
Database skills are among the most in-demand IT skills today. Now you can gain a solid foundation in database design and implementation with the practical, easy-to-understand approach in the market-leading DATABASE SYSTEMS: DESIGN, IMPLEMENTATION, AND MANAGEMENT, 13E. Diagrams, illustrations, and tables clarify in-depth coverage of database design. You learn the key to successful database implementation as you study how to properly design databases to fit within the larger strategic data environment. Clear, straightforward writing supports an outstanding balance of theory and practice with hands-on skills today's employers want. Revised SQL coverage offers more SQL examples and simpler explanations that focus on the areas most important for a database career. More coverage of Big Data Analytics and NoSQL, including related Hadoop technologies, now provides a stronger hands-on approach.
The second edition of Database Systems maintains its engaging writing style and brevity; its unique balance between theory and practice and its wealth of examples throughout the text; inspiring student-friendly learning at its best. The international edition provides a solid and practical foundation for the design, implementation and management of database systems. This foundation is built on the notion that, while databases are very practical things, their successful creation depends on understanding the important concepts that define them. The new edition has been updated with all the latest developments and technologies and incorporates a generous number of localised and motivating business vignettes that tie the concepts to real-life situations. This edition is suitable for a first course in databases at undergraduate level and will also provide essential material for conversion postgraduate courses. Providing comprehensive and practical coverage of core database concepts, it is an ideal text not only for those studying database management systems in the context of computer science, but also those on courses in the areas of information systems and business information technology. This textbook also comes packaged with a fully tailored CourseMate and an Instructor's website will also be available to adopters.
Practical and easy to understand Database Principles: Fundamentals of Design, Implementation, and Management, 10/e, International Edition gives readers a solid foundation in database design and implementation. Filled with visual aids such as diagrams, illustrations, and tables, this market-leading book provides in-depth coverage of database design, demonstrating that the key to successful database implementation is in proper design of databases to fit within a larger strategic view of the data environment. Renowned for its clear, straightforward writing style, the tenth edition has been thoroughly updated to include hot topics such as green computing/sustainability for modern data centers, the role of redundant relationships, and examples of web-database connectivity and code security. In addition, new review questions, problem sets, and cases have been added throughout the book so that readers have multiple opportunities to test their understanding and develop real and useful design skills.
GUIDE TO NETWORK DEFENSE AND COUNTERMEASURES provides a thorough guide to perimeter defense fundamentals, including intrusion detection and firewalls. This trusted text also covers more advanced topics such as security policies, network address translation (NAT), packet filtering and analysis, proxy servers, virtual private networks (VPN), and network traffic signatures. Thoroughly updated, the new third edition reflects the latest technology, trends, and techniques including virtualization, VMware, IPv6, and ICMPv6 structure, making it easier for current and aspiring professionals to stay on the cutting edge and one step ahead of potential security threats. A clear writing style and numerous screenshots and illustrations make even complex technical material easier to understand, while tips, activities, and projects throughout the text allow you to hone your skills by applying what you learn. Perfect for students and professionals alike in this high-demand, fast-growing field, GUIDE TO NETWORK DEFENSE AND COUNTERMEASURES, Third Edition, is a must-have resource for success as a network security professional.
Longlisted for the 2020 Financial Times / McKinsey Business Book of the Year 'Back in the 1960s, long before the denizens of Silicon Valley were infiltrating every facet of our lives, the smart men and women of The Simulmatics Corporation were creating algorithms to predict and even influence human behaviour. Jill Lepore reveals how this forgotten company invented the data-weapons of the future. If Then is simultaneously gripping and absolutely terrifying' Amanda Foreman 'An authoritative account of the origins of data science, a compelling political narrative of America in the Sixties, a poignant collective biography of a generation of flawed men - Jill Lepore's If, Then represents not only a stunning achievement in itself, but a stirring defence of the humanities in our techno-reductive age' David Kynaston 'A person can't help but feel inspired by the riveting intelligence and joyful curiosity of Jill Lepore. Knowing that there is a mind like hers in the world is a hope-inducing thing' George Saunders, Man Booker Prize winning author of Lincoln in the Bardo 'Jill Lepore is the pre-eminent historian of forgotten tales from America's past that throw startling light on the present. This brilliant book illuminates the future too. The story of the original data science hucksters of the 1960s is hilarious, scathing and sobering - what you might get if you crossed Mad Men with Theranos. It's a reminder, in the age of Cambridge Analytica and whatever comes next, that we have been here before and should know better.' David Runciman The Simulmatics Corporation, founded in 1959, mined data, targeted voters, accelerated news, manipulated consumers, destabilized politics, and disordered knowledge--decades before Facebook, Google, Amazon, and Cambridge Analytica. Silicon Valley likes to imagine it has no past but the scientists of Simulmatics are the long-dead grandfathers of Mark Zuckerberg and Elon Musk. Borrowing from psychological warfare, they used computers to predict and direct human behavior, deploying their "People Machine" from New York, Cambridge, and Saigon for clients that included John Kennedy's presidential campaign, the New York Times, Young & Rubicam, and, during the Vietnam War, the Department of Defence. Jill Lepore, distinguished Harvard historian and New Yorker staff writer, unearthed from the archives the almost unbelievable story of this long-vanished corporation, and of the women hidden behind it. In the 1950s and 1960s, Lepore argues, Simulmatics invented the future by building the machine in which the world now finds itself trapped and tormented, algorithm by algorithm.
For undergraduate database management students or business professionals Here's practical help for understanding, creating, and managing small databases-from two of the world's leading database authorities. Database Concepts by David Kroenke and David Auer gives undergraduate database management students and business professionals alike a firm understanding of the concepts behind the software, using Access 2013 to illustrate the concepts and techniques. Three projects run throughout the text, to show students how to apply the concepts to real-life business situations. The text provides flexibility for choosing the software instructors want to use in class; allows students to work with new, complete databases, including Wedgewood Pacific Corporation, Heather Sweeney Designs, and Wallingford Motors; and includes coverage for some of the latest information on databases available. Teaching and Learning Experience This text will provide a better teaching and learning experience-for you and your students. Here's how: Provides a firm understanding of the concepts behind the software Uses Access 2013 to illustrate the concepts and techniques while also providing flexibility to choose the software used in class Allows students to work with new, complete databases Includes coverage of some of the latest information available
Database Solutions: A step-by-step guide to building databases 2/eAre you responsible for designing and creating the databases that keep your business running? Or are you studying for a module in database design? If so, Database Solutions is for you This fully revised and updated edition will make the database design and build process smoother, quicker and more reliable.Recipe for database success Take one RDMS - any of the major commercial products will do: Oracle, Informix, SQL Server, Access, Paradox Add one thorough reading of Database Solutions if you are an inexperienced database designer, or one recap of the methodology if you are an old hand Use the design and implementation frameworks to plan your timetable, use a common data model that fits your requirements and adapt as necessaryFeatures Includes hints and tips for success with comprehensive guidance on avoiding pitfalls and traps Shows how to create data models using the UML design notation Includes two full-length coded example databases written on Microsoft Access 2002 and Oracle 9i, plus 15 sample data models to adapt to your needs, chosen from seven common business areasNew for this edition New chapters on SQL (St
This is a rigorous and complete textbook for a first course on information retrieval from the computer science perspective. It provides an up-to-date student oriented treatment of information retrieval including extensive coverage of new topics such as web retrieval, web crawling, open source search engines and user interfaces.
From parsing to indexing, clustering to classification, retrieval to ranking, and user feedback to retrieval evaluation, all of the most important concepts are carefully introduced and exemplified. The contents and structure of the book have been carefully designed by the two main authors, with individual contributions coming from leading international authorities in the field, including Yoelle Maarek, Senior Director of Yahoo Research Israel; Dulce Ponceleon IBM Research; and Malcolm Slaney, Yahoo Research USA.
This completely reorganized, revised and enlarged second edition of "Modern Information Retrieval" contains many new chapters and double the number of pages and bibliographic references of the first edition, and a companion website www.mir2ed.org with teaching material. It will prove invaluable to students, professors, researchers, practitioners, and scholars of this fascinating field of information retrieval.
The transfer of information over the world wide web depends critically on secure communications. The need to protect the material we send and receive from cyberspace, from the largest of business transactions to the simplest of personal web-pages, is crucial in ensuring we can continue to use this incredible resource safely. Cryptology provides the most reliable tools for storing or transmitting digital information and is the gold standard for attaining the levels of security our online interactions demand. Taking a step-by-step approach, P. K. Yuen demonstrates how to master web-based security skills including: protecting websites from hackers and viruses; encrypting email; building a secure web-database; performing secure business transactions over the web. Working from a problem-solving perspective, he shows how to implement security solutions and looks from the attacker's point of view at possible challenges to that security. In short, Practical Cryptology and Web Security offers a practical and comprehensive guide to all aspects of web security. This book features over 120 worked examples, many from industry, demonstrate the key considerations in implementing web security. AES, this book examines the latest web technologies in terms of security, including XML Signatures and XML Digital Contracts. PK Yuen is a well known expert on Communications, Internet and the World Wide Web. He has over 13 years' experience working on web technologies including large scale application developments, engineer training and project leadership and working on the security system of the Shanghai Pu Dong airport, China. He also co-authored Practical Web Technologies, published by Addison-Wesley in 2003.
For self-service data preparation, Tableau Prep is relatively easy to use--as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets. Based on Allchin's popular blog, Preppin' Data, this practical guide takes you step-by-step through Tableau Prep's fundamentals. Self-service data preparation reduces the time it takes to complete data projects and improves the quality of your analyses. Discover how Tableau Prep helps you access your data and turn it into valuable information. Know what to look for when you prepare data Learn which Tableau Prep functions to use when working with data fields Analyze the shape and profile of your dataset Output data for analysis and learn how Tableau Prep automates your workflow Learn how to clean your dataset using Tableau Prep functions Explore ways to use Tableau Prep techniques in real-world scenarios Make your data available to others by managing and documenting the output
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.
If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. You can visualize and analyze your own data, apply unsupervised and supervised learning, integrate datasets, apply hypothesis testing, and make publication-quality figures using the power of R/Bioconductor and ggplot2. This book will teach you 'cooking from scratch', from raw data to beautiful illuminating output, as you learn to write your own scripts in the R language and to use advanced statistics packages from CRAN and Bioconductor. It covers a broad range of basic and advanced topics important in the analysis of high-throughput biological data, including principal component analysis and multidimensional scaling, clustering, multiple testing, unsupervised and supervised learning, resampling, the pitfalls of experimental design, and power simulations using Monte Carlo, and it even reaches networks, trees, spatial statistics, image data, and microbial ecology. Using a minimum of mathematical notation, it builds understanding from well-chosen examples, simulation, visualization, and above all hands-on interaction with data and code.
Knowledge representation is a key area of modern AI, underlying the development of semantic networks. Description logics are languages that represent knowledge in a structured and formally well-understood way: they are the cornerstone of the Semantic Web. This is the first textbook describing this importan new topic and will be suitable for courses aimed at advanced undergraduate and beginning graduate students, or for self-study. It assumes only a basic knowledge of computer science concepts. After generla introducitons motivating and overviewing the subject, the authors describe a simple DL and how it works and can be used, utilizing a running example that recurs through the book. Methods of reasoning and their implementation and complexity are examined, Finally, the authors provide a non-trivial DL knowledge base and use it to illsutrate featues that have been introduced: this base is available for free online access in a form usable by modern ontology editors.
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.
This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for wide'' data (p bigger than n), including multiple testing and false discovery rates.
Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
This book explores cognitive behavior among Internet of Things. Using a series of current and futuristic examples - appliances, personal assistants, robots, driverless cars, customer care, engineering, monetization, and many more - the book covers use cases, technology and communication aspects of how machines will support individuals and organizations. This book examines the Cognitive Things covering a number of important questions: * What are Cognitive Things? * What applications can be driven from Cognitive Things - today and tomorrow? * How will these Cognitive Things collaborate with each and other, with individuals and with organizations? * What is the cognitive era? How is it different from the automation era? * How will the Cognitive Things support or accelerate human problem solving? * Which technical components make up cognitive behavior? * How does it redistribute the work-load between humans and machines? * What types of data can be collected from them and shared with external organizations? * How do they recognize and authenticate authorized users? How is the data safeguarded from potential theft? Who owns the data and how are the data ownership rights enforced? Overall, Sathi explores ways in which Cognitive Things bring value to individuals as well as organizations and how to integrate the use of the devices into changing organizational structures. Case studies are used throughout to illustrate how innovators are already benefiting from the initial explosion of devices and data. Business executives, operational managers, and IT professionals will understand the fundamental changes required to fully benefit from cognitive technologies and how to utilize them for their own success.
From the authors of the fascinating The Age of Cryptocurrency, comes the definitive work on the Internet's next big thing: the blockchain. Many of the `legacy systems' once designed to make our lives easier and our economy more efficient are no longer up to the task; big banks have grown more entrenched, privacy exists only until the next hack, and credit card fraud has become a fact of life. However, there is a way past all this-a new kind of operating system with the potential to revolutionise our economy: the blockchain. In The Truth Machine, Michael J. Casey and Paul Vigna demystify the blockchain and explain why it can restore personal control over our data, assets, and identities; grant billions of excluded people access to the global economy; and shift the balance of power to revive society's faith in itself. They reveal the empowerment possible when self-interested middlemen give way to the transparency of the blockchain, while highlighting the job losses, assertion of special interests, and threat to social cohesion that will accompany this shift. With a balanced perspective, Casey and Vigna show why we all must care about the path that blockchain technology takes-moving humanity forward, not backward.
"Business Database Systems "arms you with the knowledge to analyse, design and implement effective, robust and successful databases. This book is ideal for students of Business/Management Information Systems, or Computer Science, who will be expected to take a course in database systems for their degree programme. It is also excellently suited to any practitioner who needs to learn, or refresh their knowledge of, the essentials of database management systems.
Learn the art and science of predictive analytics techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. * The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today * This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions * Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish * Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios * A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.
Business data integration is a complex problem that must be solved when organizations change or enhance their internal structures. The goal of this book is to present a simple yet thorough resource that describes the challenges of business data integration and the solutions to these challenges such as schema integration, illustrated through an Operational Data Store (ODS) case study. The book contains three sections spanning ten chapters. Section I, Foundational Concepts, will provide you with the necessary basic concepts and discuss schema integration. Section II, Preparation and Design, introduces the case study and we will reverse engineer each of the data sources to create a set of data dictionary reports which will provide us with the meta data we need to apply the schema integration process. Section III, Physical Implementation, will present scripts to populate each of the source databases and spreadsheets and use reports to create Extract, Transform, and Load (ETL) specifications.
Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones.
This book constitutes the refereed proceedings of the IFIP WG 8.2 Working Conference on Information Systems and Organizations, IS&O 2014, held in Auckland, New Zealand, in December 2014. The 14 revised full papers presented were carefully reviewed and selected from 28 submissions. The papers are organized in the following topical sections: IS/IT implementation and appropriation; ethnographic account of IS use; structures and networks; health care IS, social media; and IS design.
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