Strategies for Managing Linked Enterprise Data
Author | : Mikhail Galkin |
Publisher | : |
Total Pages | : |
Release | : 2019 |
Genre | : |
ISBN | : |
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Author | : Mikhail Galkin |
Publisher | : |
Total Pages | : |
Release | : 2019 |
Genre | : |
ISBN | : |
Author | : David Wood |
Publisher | : Springer Science & Business Media |
Total Pages | : 318 |
Release | : 2010-11-10 |
Genre | : Computers |
ISBN | : 1441976655 |
Enterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. This book is divided into four sections: Benefits of applying Linked Data principles in enterprise settings, enterprise approval and support of Linked Data projects, specific Linked Data techniques and a number of real-world success stories from early enterprise adopters. Linking Enterprise Data targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems. Computer science graduate students and researchers focusing on enterprise information integration will also benefit.
Author | : David Wood |
Publisher | : Springer |
Total Pages | : 291 |
Release | : 2010-11-25 |
Genre | : Computers |
ISBN | : 9781441976642 |
Enterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. This book is divided into four sections: Benefits of applying Linked Data principles in enterprise settings, enterprise approval and support of Linked Data projects, specific Linked Data techniques and a number of real-world success stories from early enterprise adopters. Linking Enterprise Data targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems. Computer science graduate students and researchers focusing on enterprise information integration will also benefit.
Author | : Andreas Harth |
Publisher | : CRC Press |
Total Pages | : 566 |
Release | : 2016-04-19 |
Genre | : Computers |
ISBN | : 1466582413 |
Linked Data Management presents techniques for querying and managing Linked Data that is available on today's Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications.The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction to L
Author | : Prakash Sah |
Publisher | : Springer Nature |
Total Pages | : 186 |
Release | : 2022-11-06 |
Genre | : Business & Economics |
ISBN | : 9811957193 |
This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises. The book is based on successful digital transformation experience of multiple Fortune 500 and other large enterprises. It is estimated that more than 50% of data and analytics initiatives fail globally because of the inherent complexity of such initiatives. Some of the questions that enterprises struggle with are: How to define enterprise data and analytics strategy? What are the key elements that should be considered while doing so? Why one-size-fits-all approach does not work for all enterprises? How to align data and analytics initiative with the business strategy of the CEO? How to establish a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies? How to define the right data and analytics organization model? Why data and analytics organization and processes need to be different from other functions? How to manage organizational change to ensure success of data and analytics initiative? How to define a business value measurement framework and calculate ROI from data and analytics initiative? What are the key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise? This book will help executives, chief digital/analytics officers, data and analytics professionals, and consultants, in answering the above questions. It will help them in addressing various dilemmas that they face every day and making their enterprises data-driven.
Author | : Sid Adelman |
Publisher | : Addison-Wesley Professional |
Total Pages | : 392 |
Release | : 2005 |
Genre | : Computers |
ISBN | : |
Without a data strategy, the people within an organization have no guidelines for making decisions that are absolutely crucial to the success of the IT organization and to the entire organization. The absence of a strategy gives a blank check to those who want to pursue their own agendas, including those who want to try new database management systems, new technologies (often unproven), and new tools. This type of environment provides no hope for success. Data Strategy should result in the development of systems with less risk, higher quality systems, and reusability of assets. This is key to keeping cost and maintenance down, thus running lean and mean. Data Strategy provides a CIO with a rationale to counter arguments for immature technology and data strategies that are inconsistent with existing strategies. This book uses case studies and best practices to give the reader the tools they need to create the best strategy for the organization.
Author | : Sören Auer |
Publisher | : Springer |
Total Pages | : 218 |
Release | : 2014-07-31 |
Genre | : Computers |
ISBN | : 3319098462 |
Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project “LOD2 -- Creating Knowledge out of Interlinked Data”. LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea. The aim of this project was to advance the state-of-the-art in research and development in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data.
Author | : Sherif Sakr |
Publisher | : Springer |
Total Pages | : 236 |
Release | : 2018-03-01 |
Genre | : Computers |
ISBN | : 3319735152 |
This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked Data technologies that are discussed in the book. Chapter 3 then offers an overview of various techniques and systems for centrally querying RDF datasets, and Chapter 4 outlines various techniques and systems for efficiently querying large RDF datasets in distributed environments. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers performance and scaling issues of distributed RDF reasoning systems, while Chapter 7 details benchmarks for RDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing insights into some of the open challenges and research directions. Providing an updated overview of methods, technologies and systems related to Linked Data this book is mainly intended for students and researchers who are interested in the Linked Data domain. It enables students to gain an understanding of the foundations and underpinning technologies and standards for Linked Data, while researchers benefit from the in-depth coverage of the emerging and ongoing advances in Linked Data storing, querying, reasoning, and provenance management systems. Further, it serves as a starting point to tackle the next research challenges in the domain of Linked Data management.
Author | : Gerardus Blokdyk |
Publisher | : 5starcooks |
Total Pages | : 128 |
Release | : 2018-02-27 |
Genre | : |
ISBN | : 9780655156819 |
Are accountability and ownership for Enterprise data management clearly defined? How will you know that the Enterprise data management project has been successful? How much does Enterprise data management help? How would one define Enterprise data management leadership? Who are the people involved in developing and implementing Enterprise data management? This powerful Enterprise data management self-assessment will make you the accepted Enterprise data management domain adviser by revealing just what you need to know to be fluent and ready for any Enterprise data management challenge. How do I reduce the effort in the Enterprise data management work to be done to get problems solved? How can I ensure that plans of action include every Enterprise data management task and that every Enterprise data management outcome is in place? How will I save time investigating strategic and tactical options and ensuring Enterprise data management opportunity costs are low? How can I deliver tailored Enterprise data management advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Enterprise data management essentials are covered, from every angle: the Enterprise data management self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Enterprise data management outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Enterprise data management practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Enterprise data management are maximized with professional results. Your purchase includes access details to the Enterprise data management self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author | : Gerardus Blokdyk |
Publisher | : 5starcooks |
Total Pages | : 308 |
Release | : 2019-09-19 |
Genre | : |
ISBN | : 9780655922155 |
Do you know what quality data is? Where do you think management is going to get any more major chunks of cost reduction? What benefits does enterprise data management deliver? Which technical solutions does your MDM solution support? What are the functions of data governance? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Enterprise Data Management investments work better. This Enterprise Data Management All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Enterprise Data Management Self-Assessment. Featuring 939 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Enterprise Data Management improvements can be made. In using the questions you will be better able to: - diagnose Enterprise Data Management projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Enterprise Data Management and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Enterprise Data Management Scorecard, you will develop a clear picture of which Enterprise Data Management areas need attention. Your purchase includes access details to the Enterprise Data Management self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Enterprise Data Management Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.