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"It’s not easy to find such a generous book on big data and databases. Fortunately, this book is the one." Feng Yu. Computing Reviews. June 28, 2016. This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications. The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this "one size fits all" stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the "Big Data" and "NoSQL" revolutions, as well as forcing fundamental changes in databases across the board. Deciding to use a relational database was once truly a no-brainer, and the various commercial relational databases competed on price, performance, reliability, and ease of use rather than on fundamental architectures. Today we are faced with choices between radically different database technologies. Choosing the right database today is a complex undertaking, with serious economic and technological consequences. Next Generation Databases demystifies today’s new database technologies. The book describes what each technology was designed to solve. It shows how each technology can be used to solve real word application and business problems. Most importantly, this book highlights the architectural differences between technologies that are the critical factors to consider when choosing a database platform for new and upcoming projects. Introduces the new technologies that have revolutionized the database landscape Describes how each technology can be used to solve specific application or business challenges Reviews the most popular new wave databases and how they use these new database technologies
This second edition of Heting Chu's popular work on information representation and retrieval (IRR) features numerous updates and revisions, including coverage of taxonomies, folksonomies, ontologies, social tagging, search/retrieve web service, and next generation OPACs. The chapter on artificial intelligence has been significantly expanded to include a host of related topics such as automatic summarization, question answering, natural language searching, and the semantic web.As in the first edition, Chu emphasizes principles and fundamentals. She reviews key concepts and major developmental stages of the field, and then systematically examines information representation methods, IRR languages, retrieval techniques and models, and internet retrieval systems. In addition, she explains the retrieval of multilingual, multimedia, and hyperstructured information and explores the user dimension and evaluation issues.
The techniques of analytic mapping and of geographic information systems (GIS) have become increasingly important tools for analysing census, crime, environmental and consumer data. The authors discuss data access, transformation and preparation issues, and how to select the appropriate analytic graphics techniques.
This volume presents 43 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and WWW- and Internet-related topics as well as many applications. These articles are selected from more than 100 papers presented at the 21st Annual Conference of the Gesellschaft für Klassifikation. Based on the submitted and revised papers six sections have been arranged: - Classification and Data Analysis - Mathematical and Statistical Methods - World Wide Web and the Internet - Speech and Pattern Recognition - Marketing.