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| document management systems are essentially large databases: Introduction to Electronic Document Management Systems Bozzano G Luisa, 2012-12-02 Introduction to Electronic Document Management Systems provides an in-depth overview of the technology of electronic document management using modern electronic image processing. It will prove to be a key source of information for management and technical staff of organizations considering a transformation from traditional micrographics-based document storage and retrieval systems to new electronic document capture systems. It will also be useful for those organizations considering improving productivity through electronic management of large volumes of data records. |
| document management systems are essentially large databases: Readings in Database Systems Joseph M. Hellerstein, Michael Stonebraker, 2005 The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems. |
| document management systems are essentially large databases: Computers for Librarians Stuart J. Ferguson, Rodney Hebels, 2003-08-01 Computers for Librarians is aimed primarily at students of library and information management and at those library and information service professionals who feel the need for a book that will give them a broad overview of the emerging electronic library. It takes a top-down approach, starting with applications such as the Internet, information sources and services, provision of access to information resources and library management systems, before looking at data management, computer systems and technology, data communications and networking, and library systems development. It also provides an interesting set of case studies, which help to put theoretical and technical issues into context. Computers for Librarians can be read as a survey of where we are in terms of the electronic library, but it is also intended as an educational resource, and includes self-learning aids such as learning objectives, keywords and review questions for each chapter. |
| document management systems are essentially large databases: PC Mag , 2001-01-02 PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology. |
| document management systems are essentially large databases: Building a Data Warehouse Vincent Rainardi, 2008-03-11 Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation. |
| document management systems are essentially large databases: Developing and Securing the Cloud Bhavani Thuraisingham, 2013-10-28 Although the use of cloud computing platforms and applications has expanded rapidly, most books on the subject focus on high-level concepts. There has long been a need for a book that provides detailed guidance on how to develop secure clouds. Filling this void, Developing and Securing the Cloud provides a comprehensive overview of cloud computing technology. Supplying step-by-step instruction on how to develop and secure cloud computing platforms and web services, it includes an easy-to-understand, basic-level overview of cloud computing and its supporting technologies. Presenting a framework for secure cloud computing development, the book describes supporting technologies for the cloud such as web services and security. It details the various layers of the cloud computing framework, including the virtual machine monitor and hypervisor, cloud data storage, cloud data management, and virtual network monitor. It also provides several examples of cloud products and prototypes, including private, public, and U.S. government clouds. Reviewing recent developments in cloud computing, the book illustrates the essential concepts, issues, and challenges in developing and securing today’s cloud computing platforms and applications. It also examines prototypes built on experimental cloud computing systems that the author and her team have developed at the University of Texas at Dallas. This diverse reference is suitable for those in industry, government, and academia. Technologists will develop the understanding required to select the appropriate tools for particular cloud applications. Developers will discover alternative designs for cloud development, and managers will understand if it’s best to build their own clouds or contract them out. |
| document management systems are essentially large databases: Big Data: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2016-04-20 The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics. |
| document management systems are essentially large databases: The Internet Encyclopedia, Volume 2 (G - O) Hossein Bidgoli, 2004-04-27 The Internet Encyclopedia in a 3-volume reference work on the internet as a business tool, IT platform, and communications and commerce medium. |
| document management systems are essentially large databases: Handbook of Information Security, Key Concepts, Infrastructure, Standards, and Protocols Hossein Bidgoli, 2006-03-20 The Handbook of Information Security is a definitive 3-volume handbook that offers coverage of both established and cutting-edge theories and developments on information and computer security. The text contains 180 articles from over 200 leading experts, providing the benchmark resource for information security, network security, information privacy, and information warfare. |
| document management systems are essentially large databases: Energy Research Abstracts , 1978 |
| document management systems are essentially large databases: Handbook of Research on Business Process Modeling Cardoso, Jorge, van der Aalst, Wil, 2009-04-30 This book aids managers in the transformation of organizations into world-class competitors through business process applications--Provided by publisher. |
| document management systems are essentially large databases: Web Operations John Allspaw, Jesse Robbins, 2010-06-21 A web application involves many specialists, but it takes people in web ops to ensure that everything works together throughout an application's lifetime. It's the expertise you need when your start-up gets an unexpected spike in web traffic, or when a new feature causes your mature application to fail. In this collection of essays and interviews, web veterans such as Theo Schlossnagle, Baron Schwartz, and Alistair Croll offer insights into this evolving field. You'll learn stories from the trenches--from builders of some of the biggest sites on the Web--on what's necessary to help a site thrive. Learn the skills needed in web operations, and why they're gained through experience rather than schooling Understand why it's important to gather metrics from both your application and infrastructure Consider common approaches to database architectures and the pitfalls that come with increasing scale Learn how to handle the human side of outages and degradations Find out how one company avoided disaster after a huge traffic deluge Discover what went wrong after a problem occurs, and how to prevent it from happening again Contributors include: John Allspaw Heather Champ Michael Christian Richard Cook Alistair Croll Patrick Debois Eric Florenzano Paul Hammond Justin Huff Adam Jacob Jacob Loomis Matt Massie Brian Moon Anoop Nagwani Sean Power Eric Ries Theo Schlossnagle Baron Schwartz Andrew Shafer |
| document management systems are essentially large databases: ABA Journal , 1999-06 The ABA Journal serves the legal profession. Qualified recipients are lawyers and judges, law students, law librarians and associate members of the American Bar Association. |
| document management systems are essentially large databases: Content and Workflow Management for Library Web Sites Holly Yu, 2005-01-01 Using database-driven web pages or web content management (WCM) systems to manage increasingly diverse web content and to streamline workflows is a commonly practiced solution recognized in libraries to-day. However, limited library web content management models and funding constraints prevent many libraries from purchasing commercially available WCM systems. And, the lack of much needed technical expertise in building in-house WCM systems presents a great challenge for libraries of all types. Content and Workflow Management for Library Websites: Case Studies provides practical and applicable web content management solutions through case studies. It contains successful database-to-web applications as employed in a variety of academic libraries. The applications vary in scope and cover a range of practical how-to-do-it examples from database-driven web development, locally created web content management systems, systems for distributing content management responsibilities, dynamic content delivery, to open source tools, such as MySQL and PHP to manage the content. Issues and challenges associated with the development process are discussed. Authors will also discuss detours, sand traps, and missteps necessary to a real learning process. |
| document management systems are essentially large databases: Creating Games Morgan McGuire, Odest Chadwicke Jenkins, 2008-12-23 Creating Games offers a comprehensive overview of the technology, content, and mechanics of game design. It emphasizes the broad view of a games team and teaches you enough about your teammates' areas so that you can work effectively with them. The authors have included many worksheets and exercises to help get your small indie team off the ground. |
| document management systems are essentially large databases: Current Trends in Database Technology - EDBT 2006 Torsten Grust, 2006-10-10 This book constitutes the thoroughly refereed joint post-proceedings of nine workshops held as part of the 10th International Conference on Extending Database Technology, EDBT 2006, held in Munich, Germany in March 2006. The 70 revised full papers presented were selected from numerous submissions during two rounds of reviewing and revision. |
| document management systems are essentially large databases: Human Resource Management in Health Care Charles R. McConnell, 2019-10-10 Written for practitioners and students in health-related disciplines, this practical hands-on guide to human resources, covers such topics as recruitment, compensation and benefits, training, termination, legal issues, labor unions, and more. Each chapter is introduced by a case study related to the material that follows. The case study is resolved by the end of each chapter and includes expert commentary and practical suggestions that can be used in the real world. Chapters also feature learning objectives, questions for review and discussion, key terms, and spotlight on customer service. Numerous examples, sample forms and documents are also included. The Third Edition includes new employment related legislation and case law, including the Health Insurance Portability and Accountability Act (HIPAA), a new chapter on the impact and effect of social media, more in depth and updated treatment of privacy and sexual harassment, expanded discussion of succession planning, and much more. |
| document management systems are essentially large databases: Big Data Analytics with Applications in Insider Threat Detection Bhavani Thuraisingham, Pallabi Parveen, Mohammad Mehedy Masud, Latifur Khan, 2017-11-22 Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection. |
| document management systems are essentially large databases: Beginning XML Databases Gavin Powell, 2007 Supported by all major database systems, XML provides an easy, standardized method of transferring data between databases and to and from the Web, independent of the software in use Offers database programmers and data-driven Web developers detailed guidance on how to understand and work with XML as data Numerous hands-on, step-by-step examples help readers learn to simplify database work using XML Shows how to use XML to exchange data between multiple databases either internally or with external customers and partners Covers XML in popular databases including Oracle Database, SQL Server, and brief coverage of DB2 Database Covers basic syntax for XML, the XML DOM, and XSL – with an emphasis on database use, and native XML databases Additional topics covered include Native XML databases, XPath, XQuery, XLink, XPointer, DTDs, XML Schemas, among others |
| document management systems are essentially large databases: The Complete Project Management Office Handbook Gerard M. Hill, 2004-08-02 Today's project managers find themselves in the dual roles of technical expert and business leader. As project management has evolved, the need has emerged for an organizational entity to manage complexities and ensure alignment with business interests. A project management office (PMO) coordinates technical and business facets of project management and achieves the goals of oversight, control, and support within the project management environment. The Complete Project Management Office Handbook identifies the PMO as the essential business integrator of the people, processes, and tools that manage or influence project performance. This book details how the PMO applies professional project management practices and successfully integrates business interests with project goals, regardless of whether the scope of the PMO is limited to managing specific projects or expanded to the level of a full business unit. People at all levels of the project and business spectrum will benefit from this volume. The Handbook focuses on how to establish PMO functionality to meet the requirements of project stakeholders. It presents 20 pertinent PMO function models, providing guidance for developing PMO operating capability that is applicable to any organization. It also presents these functions relative to five stages of progressive PMO development along a competency continuum, demonstrating potential PMO growth from simple project control up through its alignment within a strategic business framework. |
| document management systems are essentially large databases: Final Report...a Model for the Preparation of Elementary School Teachers... United States. Education Office, 1968 |
| document management systems are essentially large databases: Managing Environmental Data Gerald A. Burnette, 2021-12-21 Focused on the mechanics of managing environmental data, this book provides guidelines on how to evaluate data requirements, assess tools and techniques, and implement an effective system. Moving beyond the hypothetical, Gerald Burnette illustrates the decision-making processes and the compromises required when applying environmental principles and practices to actual data. Managing Environmental Data explains the basic principles of relational databases, discusses database design, explores user interface options, and examines the process of implementation. Best practices are identified during each portion of the process. The discussion is summarized via the development of a hypothetical environmental data management system. Details of the design help establish a common framework that bridges the gap between data managers, users, and software developers. It is an ideal text for environmental professionals and students. The growth in both volume and complexity of environmental data presents challenges to environmental professionals. Developing better data management skills offers an excellent opportunity to meet these challenges. Gaining knowledge of and experience with data management best practices complements students’ more traditional science education, providing them with the skills required to address complex data requirements. |
| document management systems are essentially large databases: InfoWorld , 1993-09-20 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| document management systems are essentially large databases: Project Management of Large Software-Intensive Systems Marvin Gechman, 2019-03-11 The book describes how to manage and successfully deliver large, complex, and expensive systems that can be composed of millions of line of software code, being developed by numerous groups throughout the globe, that interface with many hardware items being developed by geographically dispersed companies, where the system also includes people, policies, constraints, regulations, and a myriad of other factors. It focuses on how to seamlessly integrate systems, satisfy the customer’s requirements, and deliver within the budget and on time. The guide is essentially a “shopping list” of all the activities that could be conducted with tailoring guidelines to meet the needs of each project. |
| document management systems are essentially large databases: Data Management in Pervasive Systems Francesco Colace, Massimo De Santo, Vincenzo Moscato, Antonio Picariello, Fabio A. Schreiber, Letizia Tanca, 2015-10-17 This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation. The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example. |
| document management systems are essentially large databases: Secure Data Science Bhavani Thuraisingham, Murat Kantarcioglu, Latifur Khan, 2022-04-27 Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science. |
| document management systems are essentially large databases: Document Management Kenneth A. Megill, Herbert F. Schantz, 1999 This book shows information services management professionals how to manage documents in the electronic age and how the application of document management technologies can optimize the productivity of the work process. |
| document management systems are essentially large databases: Computerworld , 1994-07-11 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| document management systems are essentially large databases: Generative AI and Implications for Ethics, Security, and Data Management Gomathi Sankar, Jeganathan, David, Arokiaraj, 2024-08-21 As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians. |
| document management systems are essentially large databases: Handbook of Research on Modern Systems Analysis and Design Technologies and Applications Syed, Mahbubur Rahman, Syed, Sharifun Nessa, 2008-07-31 This book provides a compendium of terms, definitions, and explanations of concepts in various areas of systems and design, as well as a vast collection of cutting-edge research articles from the field's leading experts--Provided by publisher. |
| document management systems are essentially large databases: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI Abdelkader Hameurlain, Josef Küng, Roland Wagner, Tran Khanh Dang, Nam Thoai, 2017-11-27 This volume, the 36th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised, extended papers selected from the 3rd International Conference on Future Data and Security Engineering, FDSE 2016, and the 10th International Conference on Advanced Computing and Applications, ACOMP 2016, which were held in Can Tho City, Vietnam, in November 2016. Topics covered include big data analytics, massive dataset mining, security and privacy, cryptography, access control, deep learning, crowd sourcing, database watermarking, and query processing and optimization. |
| document management systems are essentially large databases: Legal Data for Banking Akber Datoo, 2019-04-26 A practical, informative guide to banks’ major weakness Legal Data for Banking defines the legal data domain in the context of financial institutions, and describes how banks can leverage these assets to optimise business lines and effectively manage risk. Legal data is at the heart of post-2009 regulatory reform, and practitioners need to deepen their grasp of legal data management in order to remain compliant with new rules focusing on transparency in trade and risk reporting. This book provides essential information for IT, project management and data governance leaders, with detailed discussion of current and best practices. Many banks are experiencing recurrent pain points related to legal data management issues, so clear explanations of the required processes, systems and strategic governance provide immediately-relevant relief. The recent financial crisis following the collapse of major banks had roots in poor risk data management, and the regulators’ unawareness of accumulated systemic risk stemming from contractual obligations between firms. To avoid repeating history, today’s banks must be proactive in legal data management; this book provides the critical knowledge practitioners need to put the necessary systems and practices in place. Learn how current legal data management practices are hurting banks Understand the systems, structures and strategies required to manage risk and optimise business lines Delve into the regulations surrounding risk aggregation, netting, collateral enforceability and more Gain practical insight on legal data technology, systems and migration The legal contracts between firms contain significant obligations that underpin the financial markets; failing to recognise these terms as valuable data assets means increased risk exposure and untapped business lines. Legal Data for Banking provides critical information for the banking industry, with actionable guidance for implementation. |
| document management systems are essentially large databases: Strategic Information Systems: Concepts, Methodologies, Tools, and Applications Hunter, M. Gordon, 2009-08-31 This 4-volume set provides a compendium of comprehensive advanced research articles written by an international collaboration of experts involved with the strategic use of information systems--Provided by publisher. |
| document management systems are essentially large databases: Business Information Systems Paul Bocij, 2003 Assuming no prior knowledge of IS or IT, this book explains new concepts and terms as simply as possible. The importance of information in developing a company business strategy and assisting decision making is explained in this study volume. |
| document management systems are essentially large databases: Effective Business Intelligence Systems Robert J. Thierauf, 2001-06-30 One step above knowledge management systems are business intelligence systems. Their purpose is to give decision makers a better understanding of their organization's operations, and thus another way to outmaneuver the competition, by helping to find and extract the meaningful relationships, trends, and correlations that underlie the organization's operations and ultimately contribute to its success. Thierauf also shows that by tying critical success factors and key performance indicators into business intelligence systems, an organization's most important financial ratios can also be improved. Comprehensive and readable, Thierauf's book will advance the knowledge and skills of all information systems providers and users. It will also be useful as a text in upper-level courses covering a wide range of topics essential to an understanding of executive business systems generally, and specifically their creation and management. The theme underlying Thierauf's unique text is that a thorough understanding of a company's operations is crucial if the company is to be moved to a higher level of competitive advantage. Although data warehousing, data mining, the Internet, the World Wide Web, and other electronic aids have been in place for at least a decade, it is the remarkable and unique capability of business intelligence systems to utilize them that has in turn revolutionized the ability of decision makers to find, accumulate, organize, and access a wider range of information than was ever before possible. Effective business intelligence systems give decision makers a means to keep their fingers on the pulse of their businesses every step of the way. From this it follows that they are thus able to develop new, more workable means to cope with the competition successfully. Comprehensive and readable, Thierauf's book will advance the knowledge and skills of all information systems providers and users. It will also be useful as a text in upper-level courses covering a wide range of topics essential to an understanding of executive business systems generally, and specifically their creation and management. |
| document management systems are essentially large databases: Expert Performance Indexing for SQL Server 2012 Jason Strate, Ted Krueger, 2012-09-07 Expert Performance Indexing for SQL Server 2012 is a deep dive into perhaps the single-most important facet of good performance: indexes, and how to best use them. The book begins in the shallow waters with explanations of the types of indexes and how they are stored in databases. Moving deeper into the topic, and further into the book, you will look at the statistics that are accumulated both by indexes and on indexes. All of this will help you progress towards properly achieving your database performance goals. What you'll learn from Expert Performance Indexing for SQL Server 2012 will help you understand what indexes are doing in the database and what can be done to mitigate and improve their effects on performance. The final destination is a guided tour through a number of real-world scenarios and approaches that can be taken to investigate, mitigate, and improve the performance of your database. Defines indexes and provides an understanding of their role Uncovers and explains the statistics that are kept in indexes Teaches strategies and approaches for indexing databases |
| document management systems are essentially large databases: Technology 2002 , 1993 includes the 6 papers presented by researchers at JPL of the California Institute of Technology at the Technology 2000 Conference. Includes: integrated information retrieval and document management system, macro-micro robot for precise force applications, a fault-tolerant intelligent robot control system, constraint checking during error recovery, the data egg: a new solution to text entry barriers, and a multi-beam range imager for autonomous operations. |
| document management systems are essentially large databases: Essential Oracle8i Data Warehousing Gary Dodge, Tim Gorman, 2000-09-20 This book is the definitive guide for serious Oracle8i professionals and is required reading for all Oracle data warehousing practitioners.-Shannon Platz, Senior Director, Business Intelligence & Warehouse Global Service Line, Oracle Corporation A complete hands-on guide to Oracle8i and earlier versions In this updated and expanded edition of their critically acclaimed Oracle8 Data Warehousing, Gary Dodge and Tim Gorman clearly explain everything you'll need to know to build and manage a large, high-performance data warehouse using Oracle8i. They provide a technical roadmap to the specific Oracle8 or Oracle8i features that are relevant to designing, building, tuning, and administering an Oracle data warehouse. After a brief review of the basic concepts, you'll find descriptions of the various hardware platforms to support the Oracle data warehouse. The authors then cover the Oracle features that can enhance a large data warehouse, the design considerations for a warehouse, and the steps necessary to load data into the warehouse. You'll also find out how to perform parallel operations using Oracle8 and Oracle8i to accomplish massive tasks more quickly. And you'll discover the specific features and techniques for implementing a distributed architecture. With this book, you'll learn how to: - Design a data warehouse for optimum performance - Construct the data warehouse using Oracle8 and Oracle8i database technology - Load data into the data warehouse - Summarize and aggregate data within a warehouse - Administer and monitor a data warehouse for optimum performance - Build and manage very large (multiterabyte) data warehouses Visit our Web site at www.wiley.com/compbooks/ Visit the companion Web site at www.wiley.com/compbooks/dodge for scripts, extensions, and additional material. |
| document management systems are essentially large databases: Organizational Readiness to E-Transformation Aqel M. Aqel, 2012-12-15 Many leaders and executives are wondering what preparations their firms should have in order to be ready to transform into digital era? Organisational e-readiness is a complimentary part of global, regional and national readiness to digital era. This book argues the importance of e-readiness assessment in a structured and quantitative way that contain relevant and valid criteria to assess readiness within organisations from various and balanced perspectives. The proposed organizational e-readiness model consists of five interrelated categories; these are strategy, business process, technology, changeability, and ICT security. |
| document management systems are essentially large databases: Scientific and Technical Aerospace Reports , 1994 |
| document management systems are essentially large databases.: Introduction to Electronic Document Management Systems Bozzano G Luisa, 2012-12-02 Introduction to Electronic Document Management Systems provides an in-depth overview of the technology of electronic document management using modern electronic image processing. It will prove to be a key source of information for management and technical staff of organizations considering a transformation from traditional micrographics-based document storage and retrieval systems to new electronic document capture systems. It will also be useful for those organizations considering improving productivity through electronic management of large volumes of data records. |
| document management systems are essentially large databases.: Readings in Database Systems Joseph M. Hellerstein, Michael Stonebraker, 2005 The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems. |
| document management systems are essentially large databases.: Computers for Librarians Stuart J. Ferguson, Rodney Hebels, 2003-08-01 Computers for Librarians is aimed primarily at students of library and information management and at those library and information service professionals who feel the need for a book that will give them a broad overview of the emerging electronic library. It takes a top-down approach, starting with applications such as the Internet, information sources and services, provision of access to information resources and library management systems, before looking at data management, computer systems and technology, data communications and networking, and library systems development. It also provides an interesting set of case studies, which help to put theoretical and technical issues into context. Computers for Librarians can be read as a survey of where we are in terms of the electronic library, but it is also intended as an educational resource, and includes self-learning aids such as learning objectives, keywords and review questions for each chapter. |
| document management systems are essentially large databases.: PC Mag , 2001-01-02 PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology. |
| document management systems are essentially large databases.: Building a Data Warehouse Vincent Rainardi, 2008-03-11 Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation. |
| document management systems are essentially large databases.: Developing and Securing the Cloud Bhavani Thuraisingham, 2013-10-28 Although the use of cloud computing platforms and applications has expanded rapidly, most books on the subject focus on high-level concepts. There has long been a need for a book that provides detailed guidance on how to develop secure clouds. Filling this void, Developing and Securing the Cloud provides a comprehensive overview of cloud computing technology. Supplying step-by-step instruction on how to develop and secure cloud computing platforms and web services, it includes an easy-to-understand, basic-level overview of cloud computing and its supporting technologies. Presenting a framework for secure cloud computing development, the book describes supporting technologies for the cloud such as web services and security. It details the various layers of the cloud computing framework, including the virtual machine monitor and hypervisor, cloud data storage, cloud data management, and virtual network monitor. It also provides several examples of cloud products and prototypes, including private, public, and U.S. government clouds. Reviewing recent developments in cloud computing, the book illustrates the essential concepts, issues, and challenges in developing and securing today’s cloud computing platforms and applications. It also examines prototypes built on experimental cloud computing systems that the author and her team have developed at the University of Texas at Dallas. This diverse reference is suitable for those in industry, government, and academia. Technologists will develop the understanding required to select the appropriate tools for particular cloud applications. Developers will discover alternative designs for cloud development, and managers will understand if it’s best to build their own clouds or contract them out. |
| document management systems are essentially large databases.: Big Data: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2016-04-20 The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics. |
| document management systems are essentially large databases.: The Internet Encyclopedia, Volume 2 (G - O) Hossein Bidgoli, 2004-04-27 The Internet Encyclopedia in a 3-volume reference work on the internet as a business tool, IT platform, and communications and commerce medium. |
| document management systems are essentially large databases.: Handbook of Information Security, Key Concepts, Infrastructure, Standards, and Protocols Hossein Bidgoli, 2006-03-20 The Handbook of Information Security is a definitive 3-volume handbook that offers coverage of both established and cutting-edge theories and developments on information and computer security. The text contains 180 articles from over 200 leading experts, providing the benchmark resource for information security, network security, information privacy, and information warfare. |
| document management systems are essentially large databases.: Energy Research Abstracts , 1978 |
| document management systems are essentially large databases.: Handbook of Research on Business Process Modeling Cardoso, Jorge, van der Aalst, Wil, 2009-04-30 This book aids managers in the transformation of organizations into world-class competitors through business process applications--Provided by publisher. |
| document management systems are essentially large databases.: Web Operations John Allspaw, Jesse Robbins, 2010-06-21 A web application involves many specialists, but it takes people in web ops to ensure that everything works together throughout an application's lifetime. It's the expertise you need when your start-up gets an unexpected spike in web traffic, or when a new feature causes your mature application to fail. In this collection of essays and interviews, web veterans such as Theo Schlossnagle, Baron Schwartz, and Alistair Croll offer insights into this evolving field. You'll learn stories from the trenches--from builders of some of the biggest sites on the Web--on what's necessary to help a site thrive. Learn the skills needed in web operations, and why they're gained through experience rather than schooling Understand why it's important to gather metrics from both your application and infrastructure Consider common approaches to database architectures and the pitfalls that come with increasing scale Learn how to handle the human side of outages and degradations Find out how one company avoided disaster after a huge traffic deluge Discover what went wrong after a problem occurs, and how to prevent it from happening again Contributors include: John Allspaw Heather Champ Michael Christian Richard Cook Alistair Croll Patrick Debois Eric Florenzano Paul Hammond Justin Huff Adam Jacob Jacob Loomis Matt Massie Brian Moon Anoop Nagwani Sean Power Eric Ries Theo Schlossnagle Baron Schwartz Andrew Shafer |
| document management systems are essentially large databases.: ABA Journal , 1999-06 The ABA Journal serves the legal profession. Qualified recipients are lawyers and judges, law students, law librarians and associate members of the American Bar Association. |
| document management systems are essentially large databases.: Content and Workflow Management for Library Web Sites Holly Yu, 2005-01-01 Using database-driven web pages or web content management (WCM) systems to manage increasingly diverse web content and to streamline workflows is a commonly practiced solution recognized in libraries to-day. However, limited library web content management models and funding constraints prevent many libraries from purchasing commercially available WCM systems. And, the lack of much needed technical expertise in building in-house WCM systems presents a great challenge for libraries of all types. Content and Workflow Management for Library Websites: Case Studies provides practical and applicable web content management solutions through case studies. It contains successful database-to-web applications as employed in a variety of academic libraries. The applications vary in scope and cover a range of practical how-to-do-it examples from database-driven web development, locally created web content management systems, systems for distributing content management responsibilities, dynamic content delivery, to open source tools, such as MySQL and PHP to manage the content. Issues and challenges associated with the development process are discussed. Authors will also discuss detours, sand traps, and missteps necessary to a real learning process. |
| document management systems are essentially large databases.: Creating Games Morgan McGuire, Odest Chadwicke Jenkins, 2008-12-23 Creating Games offers a comprehensive overview of the technology, content, and mechanics of game design. It emphasizes the broad view of a games team and teaches you enough about your teammates' areas so that you can work effectively with them. The authors have included many worksheets and exercises to help get your small indie team off the ground. |
| document management systems are essentially large databases.: Current Trends in Database Technology - EDBT 2006 Torsten Grust, 2006-10-10 This book constitutes the thoroughly refereed joint post-proceedings of nine workshops held as part of the 10th International Conference on Extending Database Technology, EDBT 2006, held in Munich, Germany in March 2006. The 70 revised full papers presented were selected from numerous submissions during two rounds of reviewing and revision. |
| document management systems are essentially large databases.: Human Resource Management in Health Care Charles R. McConnell, 2019-10-10 Written for practitioners and students in health-related disciplines, this practical hands-on guide to human resources, covers such topics as recruitment, compensation and benefits, training, termination, legal issues, labor unions, and more. Each chapter is introduced by a case study related to the material that follows. The case study is resolved by the end of each chapter and includes expert commentary and practical suggestions that can be used in the real world. Chapters also feature learning objectives, questions for review and discussion, key terms, and spotlight on customer service. Numerous examples, sample forms and documents are also included. The Third Edition includes new employment related legislation and case law, including the Health Insurance Portability and Accountability Act (HIPAA), a new chapter on the impact and effect of social media, more in depth and updated treatment of privacy and sexual harassment, expanded discussion of succession planning, and much more. |
| document management systems are essentially large databases.: Big Data Analytics with Applications in Insider Threat Detection Bhavani Thuraisingham, Pallabi Parveen, Mohammad Mehedy Masud, Latifur Khan, 2017-11-22 Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection. |
| document management systems are essentially large databases.: Beginning XML Databases Gavin Powell, 2007 Supported by all major database systems, XML provides an easy, standardized method of transferring data between databases and to and from the Web, independent of the software in use Offers database programmers and data-driven Web developers detailed guidance on how to understand and work with XML as data Numerous hands-on, step-by-step examples help readers learn to simplify database work using XML Shows how to use XML to exchange data between multiple databases either internally or with external customers and partners Covers XML in popular databases including Oracle Database, SQL Server, and brief coverage of DB2 Database Covers basic syntax for XML, the XML DOM, and XSL – with an emphasis on database use, and native XML databases Additional topics covered include Native XML databases, XPath, XQuery, XLink, XPointer, DTDs, XML Schemas, among others |
| document management systems are essentially large databases.: The Complete Project Management Office Handbook Gerard M. Hill, 2004-08-02 Today's project managers find themselves in the dual roles of technical expert and business leader. As project management has evolved, the need has emerged for an organizational entity to manage complexities and ensure alignment with business interests. A project management office (PMO) coordinates technical and business facets of project management and achieves the goals of oversight, control, and support within the project management environment. The Complete Project Management Office Handbook identifies the PMO as the essential business integrator of the people, processes, and tools that manage or influence project performance. This book details how the PMO applies professional project management practices and successfully integrates business interests with project goals, regardless of whether the scope of the PMO is limited to managing specific projects or expanded to the level of a full business unit. People at all levels of the project and business spectrum will benefit from this volume. The Handbook focuses on how to establish PMO functionality to meet the requirements of project stakeholders. It presents 20 pertinent PMO function models, providing guidance for developing PMO operating capability that is applicable to any organization. It also presents these functions relative to five stages of progressive PMO development along a competency continuum, demonstrating potential PMO growth from simple project control up through its alignment within a strategic business framework. |
| document management systems are essentially large databases.: Final Report...a Model for the Preparation of Elementary School Teachers... United States. Education Office, 1968 |
| document management systems are essentially large databases.: Managing Environmental Data Gerald A. Burnette, 2021-12-21 Focused on the mechanics of managing environmental data, this book provides guidelines on how to evaluate data requirements, assess tools and techniques, and implement an effective system. Moving beyond the hypothetical, Gerald Burnette illustrates the decision-making processes and the compromises required when applying environmental principles and practices to actual data. Managing Environmental Data explains the basic principles of relational databases, discusses database design, explores user interface options, and examines the process of implementation. Best practices are identified during each portion of the process. The discussion is summarized via the development of a hypothetical environmental data management system. Details of the design help establish a common framework that bridges the gap between data managers, users, and software developers. It is an ideal text for environmental professionals and students. The growth in both volume and complexity of environmental data presents challenges to environmental professionals. Developing better data management skills offers an excellent opportunity to meet these challenges. Gaining knowledge of and experience with data management best practices complements students’ more traditional science education, providing them with the skills required to address complex data requirements. |
| document management systems are essentially large databases.: InfoWorld , 1993-09-20 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| document management systems are essentially large databases.: Project Management of Large Software-Intensive Systems Marvin Gechman, 2019-03-11 The book describes how to manage and successfully deliver large, complex, and expensive systems that can be composed of millions of line of software code, being developed by numerous groups throughout the globe, that interface with many hardware items being developed by geographically dispersed companies, where the system also includes people, policies, constraints, regulations, and a myriad of other factors. It focuses on how to seamlessly integrate systems, satisfy the customer’s requirements, and deliver within the budget and on time. The guide is essentially a “shopping list” of all the activities that could be conducted with tailoring guidelines to meet the needs of each project. |
| document management systems are essentially large databases.: Data Management in Pervasive Systems Francesco Colace, Massimo De Santo, Vincenzo Moscato, Antonio Picariello, Fabio A. Schreiber, Letizia Tanca, 2015-10-17 This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation. The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example. |
| document management systems are essentially large databases.: Secure Data Science Bhavani Thuraisingham, Murat Kantarcioglu, Latifur Khan, 2022-04-27 Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science. |
| document management systems are essentially large databases.: Document Management Kenneth A. Megill, Herbert F. Schantz, 1999 This book shows information services management professionals how to manage documents in the electronic age and how the application of document management technologies can optimize the productivity of the work process. |
| document management systems are essentially large databases.: Computerworld , 1994-07-11 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| document management systems are essentially large databases.: Generative AI and Implications for Ethics, Security, and Data Management Gomathi Sankar, Jeganathan, David, Arokiaraj, 2024-08-21 As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians. |
| document management systems are essentially large databases.: Handbook of Research on Modern Systems Analysis and Design Technologies and Applications Syed, Mahbubur Rahman, Syed, Sharifun Nessa, 2008-07-31 This book provides a compendium of terms, definitions, and explanations of concepts in various areas of systems and design, as well as a vast collection of cutting-edge research articles from the field's leading experts--Provided by publisher. |
| document management systems are essentially large databases.: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI Abdelkader Hameurlain, Josef Küng, Roland Wagner, Tran Khanh Dang, Nam Thoai, 2017-11-27 This volume, the 36th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised, extended papers selected from the 3rd International Conference on Future Data and Security Engineering, FDSE 2016, and the 10th International Conference on Advanced Computing and Applications, ACOMP 2016, which were held in Can Tho City, Vietnam, in November 2016. Topics covered include big data analytics, massive dataset mining, security and privacy, cryptography, access control, deep learning, crowd sourcing, database watermarking, and query processing and optimization. |
| document management systems are essentially large databases.: Legal Data for Banking Akber Datoo, 2019-04-26 A practical, informative guide to banks’ major weakness Legal Data for Banking defines the legal data domain in the context of financial institutions, and describes how banks can leverage these assets to optimise business lines and effectively manage risk. Legal data is at the heart of post-2009 regulatory reform, and practitioners need to deepen their grasp of legal data management in order to remain compliant with new rules focusing on transparency in trade and risk reporting. This book provides essential information for IT, project management and data governance leaders, with detailed discussion of current and best practices. Many banks are experiencing recurrent pain points related to legal data management issues, so clear explanations of the required processes, systems and strategic governance provide immediately-relevant relief. The recent financial crisis following the collapse of major banks had roots in poor risk data management, and the regulators’ unawareness of accumulated systemic risk stemming from contractual obligations between firms. To avoid repeating history, today’s banks must be proactive in legal data management; this book provides the critical knowledge practitioners need to put the necessary systems and practices in place. Learn how current legal data management practices are hurting banks Understand the systems, structures and strategies required to manage risk and optimise business lines Delve into the regulations surrounding risk aggregation, netting, collateral enforceability and more Gain practical insight on legal data technology, systems and migration The legal contracts between firms contain significant obligations that underpin the financial markets; failing to recognise these terms as valuable data assets means increased risk exposure and untapped business lines. Legal Data for Banking provides critical information for the banking industry, with actionable guidance for implementation. |
| document management systems are essentially large databases.: Strategic Information Systems: Concepts, Methodologies, Tools, and Applications Hunter, M. Gordon, 2009-08-31 This 4-volume set provides a compendium of comprehensive advanced research articles written by an international collaboration of experts involved with the strategic use of information systems--Provided by publisher. |
| document management systems are essentially large databases.: Business Information Systems Paul Bocij, 2003 Assuming no prior knowledge of IS or IT, this book explains new concepts and terms as simply as possible. The importance of information in developing a company business strategy and assisting decision making is explained in this study volume. |
| document management systems are essentially large databases.: Effective Business Intelligence Systems Robert J. Thierauf, 2001-06-30 One step above knowledge management systems are business intelligence systems. Their purpose is to give decision makers a better understanding of their organization's operations, and thus another way to outmaneuver the competition, by helping to find and extract the meaningful relationships, trends, and correlations that underlie the organization's operations and ultimately contribute to its success. Thierauf also shows that by tying critical success factors and key performance indicators into business intelligence systems, an organization's most important financial ratios can also be improved. Comprehensive and readable, Thierauf's book will advance the knowledge and skills of all information systems providers and users. It will also be useful as a text in upper-level courses covering a wide range of topics essential to an understanding of executive business systems generally, and specifically their creation and management. The theme underlying Thierauf's unique text is that a thorough understanding of a company's operations is crucial if the company is to be moved to a higher level of competitive advantage. Although data warehousing, data mining, the Internet, the World Wide Web, and other electronic aids have been in place for at least a decade, it is the remarkable and unique capability of business intelligence systems to utilize them that has in turn revolutionized the ability of decision makers to find, accumulate, organize, and access a wider range of information than was ever before possible. Effective business intelligence systems give decision makers a means to keep their fingers on the pulse of their businesses every step of the way. From this it follows that they are thus able to develop new, more workable means to cope with the competition successfully. Comprehensive and readable, Thierauf's book will advance the knowledge and skills of all information systems providers and users. It will also be useful as a text in upper-level courses covering a wide range of topics essential to an understanding of executive business systems generally, and specifically their creation and management. |
| document management systems are essentially large databases.: Expert Performance Indexing for SQL Server 2012 Jason Strate, Ted Krueger, 2012-09-07 Expert Performance Indexing for SQL Server 2012 is a deep dive into perhaps the single-most important facet of good performance: indexes, and how to best use them. The book begins in the shallow waters with explanations of the types of indexes and how they are stored in databases. Moving deeper into the topic, and further into the book, you will look at the statistics that are accumulated both by indexes and on indexes. All of this will help you progress towards properly achieving your database performance goals. What you'll learn from Expert Performance Indexing for SQL Server 2012 will help you understand what indexes are doing in the database and what can be done to mitigate and improve their effects on performance. The final destination is a guided tour through a number of real-world scenarios and approaches that can be taken to investigate, mitigate, and improve the performance of your database. Defines indexes and provides an understanding of their role Uncovers and explains the statistics that are kept in indexes Teaches strategies and approaches for indexing databases |
| document management systems are essentially large databases.: Technology 2002 , 1993 includes the 6 papers presented by researchers at JPL of the California Institute of Technology at the Technology 2000 Conference. Includes: integrated information retrieval and document management system, macro-micro robot for precise force applications, a fault-tolerant intelligent robot control system, constraint checking during error recovery, the data egg: a new solution to text entry barriers, and a multi-beam range imager for autonomous operations. |
| document management systems are essentially large databases.: Essential Oracle8i Data Warehousing Gary Dodge, Tim Gorman, 2000-09-20 This book is the definitive guide for serious Oracle8i professionals and is required reading for all Oracle data warehousing practitioners.-Shannon Platz, Senior Director, Business Intelligence & Warehouse Global Service Line, Oracle Corporation A complete hands-on guide to Oracle8i and earlier versions In this updated and expanded edition of their critically acclaimed Oracle8 Data Warehousing, Gary Dodge and Tim Gorman clearly explain everything you'll need to know to build and manage a large, high-performance data warehouse using Oracle8i. They provide a technical roadmap to the specific Oracle8 or Oracle8i features that are relevant to designing, building, tuning, and administering an Oracle data warehouse. After a brief review of the basic concepts, you'll find descriptions of the various hardware platforms to support the Oracle data warehouse. The authors then cover the Oracle features that can enhance a large data warehouse, the design considerations for a warehouse, and the steps necessary to load data into the warehouse. You'll also find out how to perform parallel operations using Oracle8 and Oracle8i to accomplish massive tasks more quickly. And you'll discover the specific features and techniques for implementing a distributed architecture. With this book, you'll learn how to: - Design a data warehouse for optimum performance - Construct the data warehouse using Oracle8 and Oracle8i database technology - Load data into the data warehouse - Summarize and aggregate data within a warehouse - Administer and monitor a data warehouse for optimum performance - Build and manage very large (multiterabyte) data warehouses Visit our Web site at www.wiley.com/compbooks/ Visit the companion Web site at www.wiley.com/compbooks/dodge for scripts, extensions, and additional material. |
| document management systems are essentially large databases.: Organizational Readiness to E-Transformation Aqel M. Aqel, 2012-12-15 Many leaders and executives are wondering what preparations their firms should have in order to be ready to transform into digital era? Organisational e-readiness is a complimentary part of global, regional and national readiness to digital era. This book argues the importance of e-readiness assessment in a structured and quantitative way that contain relevant and valid criteria to assess readiness within organisations from various and balanced perspectives. The proposed organizational e-readiness model consists of five interrelated categories; these are strategy, business process, technology, changeability, and ICT security. |
| document management systems are essentially large databases.: Scientific and Technical Aerospace Reports , 1994 |
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