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Advanced Data Management

Author: Lena Wiese
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110433079
Size: 49.21 MB
Format: PDF, Kindle
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This book provides a formal analysis of alternative, non-relational data models and storage mechanisms and gives a decent overview of non-SQL query languages. It describes a perspective beyond SQL and relational database management systems and thus covers the theoretical background of modern data management. It also helps to take informed decisions about what database systems to use.

Research Data Management A European Perspective

Author: Filip Kruse
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110396068
Size: 16.20 MB
Format: PDF, Kindle
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Based on case studies this book offers an insight in various European activities and practices in data management and their interaction with policies and programs. The latter form the background for the following case studies, provide the conceptual framework, at the same time giving an exhaustive understanding of the specific subjects. The case studies share common themes and give a concrete insight into vital issues such as web archiving, digitization of analog archives, researchers’ motivations for sharing data, and how libraries, archives and researchers can collaborate in creating research tools and services.

Nano Safety

Author: Dominick E. Fazarro
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110386216
Size: 41.73 MB
Format: PDF, ePub, Mobi
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Nanotechnology safety is the practice of handling engineered nanomaterials in production and manufacturing. Good practice consists of understanding and interpreting Material Safety Data Sheets, behaving safely when working with yet unknown nanomaterials, understanding health effects, and proactively creating safety measures against potential hazards. This book introduces nanotechnology risk management to readers from academia and industry.

Big Data In Medical Science And Healthcare Management

Author: Peter Langkafel
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110445743
Size: 58.58 MB
Format: PDF, ePub, Docs
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Big Data in medical science – what exactly is that? What are the potentials for healthcare management? Where is Big Data at the moment? Which risk factors need to be kept in mind? What is hype and what is real potential? This book provides an impression of the new possibilities of networked data analysis and "Big Data" – for and within medical science and healthcare management. Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of digital information is growing exponentially. An amount of data corresponding to 12 million novels emerges during the time of a single hospital stay. These are dimensions that cannot be dealt with without IT technologies. What can we do with the data that are available today? What will be possible in the next few years? Do we want everything that is possible? Who protects the data from wrong usage? More importantly, who protects the data from NOT being used? Big Data is the "resource of the 21st century" and might change the world of medical science more than we understand, realize and want at the moment. The core competence of Big Data will be the complete and correct collection, evaluation and interpretation of data. This also makes it possible to estimate the frame conditions and possibilities of the automation of daily (medical) routine. Can Big Data in medical science help to better understand fundamental problems of health and illness, and draw consequences accordingly? Big Data also means the overcoming of sector borders in healthcare management. The specialty of Big Data analysis will be the new quality of the outcomes of the combination of data that were not related before. That is why the editor of the book gives a voice to 30 experts, working in a variety of fields, such as in hospitals, in health insurance or as medical practitioners. The authors show potentials, risks, concrete practical examples, future scenarios, and come up with possible answers for the field of information technology and data privacy.

Engineering Risk Management

Author: Thierry Meyer
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110423553
Size: 31.11 MB
Format: PDF, Mobi
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This revised 2nd edition of Engineering Risk Management presents engineering aspects of risk management. After an introduction to potential risks the authors presents management principles, risk diagnostics, analysis and treatments followed by examples of practical implementation in chemistry, physics and emerging technologies such as nanoparticles.

Open Source Archaeology

Author: Andrew T. Wilson
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110440172
Size: 76.32 MB
Format: PDF, Mobi
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This edited volume is designed to discuss important issues around open access to data and software in academic and commercial archaeology, as well as to summarise both the current state of theoretical engagement, and technological development in the field of open-archaeology.

Industrial Software Applications

Author: Rainer Geisler
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110370999
Size: 11.88 MB
Format: PDF, ePub, Mobi
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This book delivers knowledge and tools to apply, manage and create modern industrial Information systems in order to discuss on eye level with software vendors and internal IT-staff.

Advanced Process Engineering Control

Author: Paul Serban Agachi
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110306638
Size: 76.96 MB
Format: PDF, ePub, Docs
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As a mature topic in chemical engineering, the book provides methods, problems and tools used in process control engineering. It discusses: process knowledge, sensor system technology, actuators, communication technology, and logistics, design and construction of control systems and their operation. The knowledge goes beyond the traditional process engineering field by applying the same principles, to biomedical processes, energy production and management of environmental issues. The book explains all the determinations in the "chemical systems" or "process systems", starting from the beginning of the processes, going through the intricate interdependency of the process stages, analyzing the hardware components of a control system and ending with the design of an appropriate control system for a process parameter or a whole process. The book is first addressed to the students and graduates of the departments of Chemical or Process Engineering. Second, to the chemical or process engineers in all industries or research and development centers, because they will notice the resemblance in approach from the system and control point of view, between different fields which might seem far from each other, but share the same control philosophy.

Developing Web Applications With Uml And And Javascript Or Java

Author: Gerd Wagner
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110499959
Size: 42.90 MB
Format: PDF, Docs
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Today, web applications are the most important type of software applications. This textbook shows how to design and implement them, using a model-based engineering approach that covers general information management concepts and techniques and the two most relevant technology platforms: JavaScript and Java. The book provides an in-depth tutorial for theory-underpinned and example-based learning by doing it yourself, supported by quiz questions and practice projects. Volume 1 provides an introduction to web technologies and model-based web application engineering, discussing the information management concepts of constraint-based data validation, enumerations and special datatypes. Volume 2 discusses the advanced information management concepts of associations and inheritance in class hierarchies. Web apps are designed using UML class diagrams and implemented with two technologies: JavaScript for front-end (and distributed NodeJS) apps, and Java (with JPA and JSF) for back-end apps. The six example apps discussed in the book can be run, and their source code downloaded, from the book's website. Gerd Wagner is Professor of Internet Technology at Brandenburg University of Technology, Germany, and Adjunct Associate Professor at Old Dominion University, Norfolk, VA, USA. He works in the areas of web engineering and modeling and simulation. Mircea Diaconescu is a Software Architect and Technical Team Leader at Entri GmbH, Berlin. He enjoys to work with the newest web technologies and to build Web of Things projects. Java, JavaScript/NodeJS and C# are his favorite programming languages.

Advanced Database Management System With Cd

Author: Rini Chakrabarti
Publisher:
ISBN: 9788177228021
Size: 66.39 MB
Format: PDF, Kindle
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Market_Desc: This book is a valuable source of information for academics, practitioners, post and under 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. Special Features: · Provides simple, clear and concise language, which makes the book easy and enjoyable to read.· Follows a code centric approach and provides code snippets wherever applicable.· Provides well-structured text and illustrative block diagrams and figures wherever required.· Provides case studies involving the latest technologies, such as Java, J2EE, and ASP.NET with backend database, such as Oracle and SQL Server with clear illustrations and step-wise approach on how to develop a real-life project.· Includes chapter objectives and advance organizer at the beginning of each chapter to describe what the reader would learn in the chapter.· Includes comprehensive and detailed coverage of each topic to meet the requirements of the target audience, including postgraduates, undergraduates, and professionals. About The Book: This book provides a systematic approach with an in-depth analysis of advanced database areas as well as the basics of database management systems. It explores the different normalization techniques starting from the very basic first normal form and extends up to sixth normal form. The theme of this book is the potential of new advanced database systems. This book combines advanced techniques with practical advice and many new ideas, methods, and examples for database management students, system specialists, and programmers. It provides a wealth of technical information on database methods and an encyclopedic coverage of advanced techniques. Summing up, this book is a valuable source of information for academics, practitioners, post and under 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.