Автор: Bedford, Denise Название: Knowledge Architectures ISBN: 0367219441 ISBN-13(EAN): 9780367219444 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Knowledge Architectures reviews traditional approaches to managing information and explains why they need to adapt to support twenty-first century information management and discovery.
The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management.
Today's organizations recognize that managing data is central to their success. They recognize data has value and they want to leverage that value. As our ability and desire to create and exploit data has increased, so too has the need for reliable data management practices.
The second edition of DAMA International's Guide to the Data Management Body of Knowledge updates and augments the highly successful DMBOK1. An accessible, authoritative reference book written by leading thinkers in the field and extensively reviewed by DAMA members, DMBOK2 brings together materials that comprehensively describe the challenges of data management and how to meet them by:
Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas.
Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics.
Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals.
DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles:
Data is an asset with unique properties
The value of data can be and should be expressed in economic terms
Managing data means managing the quality of data
It takes metadata to manage data
It takes planning to manage data
Data management is cross-functional and requires a range of skills and expertise
Data management requires an enterprise perspective
Data management must account for a range of perspectives
Data management is data lifecycle management
Different types of data have different lifecycle requirements
Managing data includes managing risks associated with data
Data management requirements must drive information technology decisions
Effective data management requires leadership commitment
Chapters include:
Data Management
Data Handling Ethics
Data Governance
Data Architecture
Data Modeling and Design
Data Storage and Operations
Data Security
Data Integration & Interoperability
Document and Content Management
Reference and Master Data
Data Warehousing and Business Intelligence
Metadata Management
Data Quality Management
Big Data and Data Science
Data Management Maturity Assessment
Data Management Organization and Role Expectations
Data Management and Organizational Change Management
Standardization of data management disciplines will help data management professionals perform more effectively and consistently. It will also enable organizational leaders to recognize the value and contributions of data management activities.
Автор: Shadi Ibrahim; Kim-Kwang Raymond Choo; Zheng Yan; Название: Algorithms and Architectures for Parallel Processing ISBN: 3319654810 ISBN-13(EAN): 9783319654812 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Parallel and distributed architectures.- Software systems and programming models.- Distributed and network-based computing.- Big data and its applications.- Parallel and distributed algorithms.- Applications of parallel and distributed computing.- Service dependability and security in distributed and parallel systems.- Service dependability and security in distributed and parallel systems.- Performance modeling and evaluation.
Описание: This book provides a detailed “how-to” guide, addressing aspects ranging from analysis and design to the implementation of applications, which need to be integrated within legacy applications and databases.The analysis and design of the next generation of software architectures must address the new requirements to accommodate the Internet of things (IoT), cybersecurity, blockchain networks, cloud, and quantum computer technologies. As 5G wireless increasingly establishes itself over the next few years, moving legacy applications into these new architectures will be critical for companies to compete in a consumer-driven and social media-based economy. Few organizations, however, understand the challenges and complexities of moving from a central database legacy architecture to a ledger and networked environment.The challenge is not limited to just designing new software applications. Indeed, the next generation needs to function more independently on various devices, and on more diverse and wireless-centric networks. Furthermore, databases must be broken down into linked list-based blockchain architectures, which will involve analytic decisions regarding which portions of data and metadata will be processed within the chain, and which ones will be dependent on cloud systems. Finally, the collection of all data throughout these vast networks will need to be aggregated and used for predictive analysis across a variety of competitive business applications in a secured environment. Certainly not an easy task for any analyst/designer!Many organizations will continue to use packaged products and open-source applications. These third-party products will need to be integrated into the new architecture paradigms and have seamless data aggregation capabilities, while maintaining the necessary cyber compliances. The book also clearly defines the roles and responsibilities of the stakeholders involved, including the IT departments, users, executive sponsors, and third-party vendors. The book’s structure also provides a step-by-step method to help ensure a higher rate of success in the context of re-engineering existing applications and databases, as well as selecting third-party products, conversion methods and cybercontrols. It was written for use by a broad audience, including IT developers, software engineers, application vendors, business line managers, and executives.
Описание: Business process management is usually treated from two different perspectives: business administration and computer science. While business administration professionals tend to consider information technology as a subordinate aspect in business process management for experts to handle, by contrast computer science professionals often consider business goals and organizational regulations as terms that do not deserve much thought but require the appropriate level of abstraction.Matthias Weske argues that all communities involved need to have a common understanding of the different aspects of business process management. To this end, he details the complete business process lifecycle from the modeling phase to process enactment and improvement, taking into account all different stakeholders involved. After starting with a presentation of general foundations and abstraction models, he explains concepts like process orchestrations and choreographies, as well as process properties and data dependencies. Finally, he presents both traditional and advanced business process management architectures, covering, for example, workflow management systems, service-oriented architectures, and data-driven approaches. In addition, he shows how standards like WfMC, SOAP, WSDL, and BPEL fit into the picture.This textbook is ideally suited for classes on business process management, information systems architecture, and workflow management. This 3rd edition contains a new chapter on business decision modelling, covering the Decision Model and Notation (DMN) standard; the chapter on process choreographies has been streamlined, and numerous clarifications have been fetched throughout the book. The accompanying website www.bpm-book.com contains further information and additional teaching material.
Автор: Carretero Название: Algorithms and Architectures for Parallel Processing ISBN: 3319499556 ISBN-13(EAN): 9783319499550 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed workshop proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers presented were carefully reviewed and selected from 58 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology.
Автор: Ioannis Vourkas; Georgios Ch. Sirakoulis Название: Memristor-Based Nanoelectronic Computing Circuits and Architectures ISBN: 3319226460 ISBN-13(EAN): 9783319226460 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: High-density memristive data storage combined with memristive circuit-design paradigms and computational tools applied to solve NP-hard artificial intelligence problems, as well as memristive arithmetic-logic units, certainly pave the way for a very promising memristive era in future electronic systems.
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