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Semi Structured Data Management
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Book Synopsis Data on the Web by : Serge Abiteboul
Download or read book Data on the Web written by Serge Abiteboul and published by Morgan Kaufmann. This book was released on 2000 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data model. Queries. Types. Sysems. A syntax for data. XML.. Query languages. Query languages for XML. Interpretation and advanced features. Typing semistructured data. Query processing. The lore system. Strudel. Database products supporting XML. Bibliography. Index. About the authors.
Book Synopsis Semi-structured Data Management by : Swapna D. Ghanekar
Download or read book Semi-structured Data Management written by Swapna D. Ghanekar and published by . This book was released on 2005 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Management of Semi-structured Data by :
Download or read book Management of Semi-structured Data written by and published by . This book was released on 1997 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Encyclopedia of Big Data by : Laurie A. Schintler
Download or read book Encyclopedia of Big Data written by Laurie A. Schintler and published by Springer. This book was released on 2022-02-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” Social media and crowdsourcing platforms and various applications ― “apps” ― are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In today’s economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself. Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines.
Book Synopsis Research Issues in Structured and Semistructured Database Programming by : Richard Connor
Download or read book Research Issues in Structured and Semistructured Database Programming written by Richard Connor and published by Springer. This book was released on 2003-06-29 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Database Programming Languages, DBPL'99, held in Kinloch Rannoch, UK in September 1999. The 17 revised full papers presented together with an invited paper were carefully reviewed and revised for inclusion in the book. The book presents topical sections on querying and query optmization; languages for document models; persistence, components and workflows; typing and querying semistructured data; active and spatial databases; and unifying semistructured and traditional data models.
Book Synopsis Data Management and Query Processing for Semistructured Data by : Jason George McHugh
Download or read book Data Management and Query Processing for Semistructured Data written by Jason George McHugh and published by . This book was released on 2000 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Semistructured Database Design by : Tok Wang Ling
Download or read book Semistructured Database Design written by Tok Wang Ling and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semistructured Database Design provides an essential reference for anyone interested in the effective management of semsistructured data. Since many new and advanced web applications consume a huge amount of such data, there is a growing need to properly design efficient databases. This volume responds to that need by describing a semantically rich data model for semistructured data, called Object-Relationship-Attribute model for Semistructured data (ORA-SS). Focusing on this new model, the book discuss problems and present solutions for a number of topics, including schema extraction, the design of non-redundant storage organizations for semistructured data, and physical semsitructured database design, among others. Semistructured Database Design, presents researchers and professionals with the most complete and up-to-date research in this fast-growing field.
Book Synopsis Proceedings of the Workshop on Management of Semi-structured Data by :
Download or read book Proceedings of the Workshop on Management of Semi-structured Data written by and published by . This book was released on 1997 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis XML Data Management by : Akmal B. Chaudhri
Download or read book XML Data Management written by Akmal B. Chaudhri and published by Addison-Wesley Professional. This book was released on 2003 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, you will find discussions on the newest native XML databases, along with information on working with XML-enabled relational database systems. In addition, XML Data Management thoroughly examines benchmarks and analysis techniques for performance of XML databases. This book is best used by students that are knowledgeable in database technology and are familiar with XML.
Book Synopsis Advanced Data Management by : Lena Wiese
Download or read book Advanced Data Management written by Lena Wiese and published by Walter de Gruyter GmbH & Co KG. This book was released on 2015-10-29 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions. This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.
Book Synopsis Handbook on Data Management in Information Systems by : Jacek Blazewicz
Download or read book Handbook on Data Management in Information Systems written by Jacek Blazewicz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook provides practitioners, scientists and graduate students with a good overview of basic notions, methods and techniques, as well as important issues and trends across the broad spectrum of data management. In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.
Book Synopsis Encyclopedia of Database Systems by : Ling Liu
Download or read book Encyclopedia of Database Systems written by Ling Liu and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Governance and Data Management by : Rupa Mahanti
Download or read book Data Governance and Data Management written by Rupa Mahanti and published by Springer Nature. This book was released on 2021-09-08 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives.
Book Synopsis The Functional Approach to Data Management by : Peter M.D. Gray
Download or read book The Functional Approach to Data Management written by Peter M.D. Gray and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is over 20 years since the functional data model and functional programming languages were first introduced to the computing community. Although developed by separate research communities, recent work, presented in this book, suggests there is powerful synergy in their integration. As database technology emerges as central to yet more complex and demanding applications in areas such as bioinformatics, national security, criminal investigations and advanced engineering, more sophisticated approaches like those presented here, are needed. A tutorial introduction by the editors prepares the reader for the chapters that follow, written by leading researchers, including some of the early pioneers. They provide a comprehensive treatment showing how the functional approach provides for modeling, analyzis and optimization in databases, and also data integration and interoperation in heterogeneous environments. Several chapters deal with mathematical results on the transformation of expressions, fundamental to the functional approach. The book also aims to show how the approach relates to the Internet and current work on semistructured data, XML and RDF. The book presents a comprehensive view of the functional approach to data management, bringing together important material hitherto widely scattered, some new research, and a comprehensive set of references. It will serve as a valuable resource for researchers, faculty and graduate students, as well as those in industry responsible for new systems development.
Book Synopsis Principles of Database Management by : Wilfried Lemahieu
Download or read book Principles of Database Management written by Wilfried Lemahieu and published by Cambridge University Press. This book was released on 2018-07-12 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Book Synopsis Towards Efficient Data Analysis and Management of Semi-structured Data by : Shirish Tatikonda
Download or read book Towards Efficient Data Analysis and Management of Semi-structured Data written by Shirish Tatikonda and published by . This book was released on 2010 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the context of managing tree-structured data, first, we develop an indexing mechanism that extracts discriminant features from the database and indexes them using a simple tunable inverted structure. Such an index is complemented with an efficient holistic query processing technique that retrieves the matches by operating entirely on space-efficient sequential representation of trees. Second, we propose a framework that enables the development of application-specific hash functions that convert variable-sized graph and tree structured data into fixed-sized hash values. We demonstrate the usability of this framework by developing a hash-based distributed data placement service for semi-structured data. We argue that this service is capable of supporting large scale data management and data mining algorithms.
Book Synopsis Web Data Management by : Serge Abiteboul
Download or read book Web Data Management written by Serge Abiteboul and published by Cambridge University Press. This book was released on 2011-11-28 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers to smartphones and websites. As a consequence, data management concepts, methods and techniques are increasingly focused on distribution concerns. Now that information largely resides in the network, so do the tools that process this information. This book explains the foundations of XML with a focus on data distribution. It covers the many facets of distributed data management on the Web, such as description logics, that are already emerging in today's data integration applications and herald tomorrow's semantic Web. It also introduces the machinery used to manipulate the unprecedented amount of data collected on the Web. Several 'Putting into Practice' chapters describe detailed practical applications of the technologies and techniques. The book will serve as an introduction to the new, global, information systems for Web professionals and master's level courses.
