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Core Data: Data Storage and Management for IOS and OS X, Zarra Marcus S.


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Цена: 4831.00р.
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При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Zarra Marcus S.
Название:  Core Data: Data Storage and Management for IOS and OS X
ISBN: 9781680501230
Издательство: Wiley
Классификация:

ISBN-10: 1680501232
Обложка/Формат: Paperback
Страницы: 250
Вес: 0.45 кг.
Дата издания: 25.02.2016
Язык: English
Издание: 3 revised edition
Иллюстрации: Black & white illustrations
Размер: 235 x 193 x 17
Читательская аудитория: Professional & vocational
Подзаголовок: Data storage and management for ios and os x
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Discover all of Core Data`s powerful capabilities, learn fundamental principles including thread and memory management, and add Core Data to both your iOS and OS X projects. All examples in this edition are based on Objective-C and are up-to-date for the latest versions of OS X El Capitan and iOS 9.


Core Data in Swift: Data Storage and Management for IOS and OS X

Автор: Zarra Marcus S.
Название: Core Data in Swift: Data Storage and Management for IOS and OS X
ISBN: 1680501704 ISBN-13(EAN): 9781680501704
Издательство: Wiley
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Цена: 4831.00 р.
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Описание: Core Data is intricate, powerful, and necessary. Discover the powerful capabilities integrated into Core Data, and how to use Core Data in your iOS and OS X projects. All examples are current for OS X El Capitan, iOS 9, and the latest release of Core Data.

Research Data Management

Автор: Ray Joyce M
Название: Research Data Management
ISBN: 1557536643 ISBN-13(EAN): 9781557536648
Издательство: Turpin
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Цена: 4796.00 р.
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Описание: It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximise the return on investment of public funds.To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management, and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers’ ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations. Contributors include: James L. Mullins, Purdue University; MacKenzie Smith, University of California at Davis; Sherry Lake, University of Virginia; Bernard Reilly, Center for Research Libraries; Jacob Carlson, Purdue University; Melissa Levine, University of Michigan; Jenn Riley, University of North Carolina at Chapel Hill; Jan Brase, German National Library of Science and Technology; Seamus Ross, University of Toronto; Michele Kimpton, DuraSpace; Brian Schottlaender, University of California, San Diego; Suzie Allard, University of Tennessee; Angus Whyte, Digital Curation Centre; Scott Brandt, Purdue University; Brian Westra, University of Oregon; Geneva Henry, Rice University; Gail Steinhart, Cornell University; and Cliff Lynch, Coalition for Networked Information.

The Data Book: Collection and Management of Research Data

Автор: Meredith Zozus
Название: The Data Book: Collection and Management of Research Data
ISBN: 1498742246 ISBN-13(EAN): 9781498742245
Издательство: Taylor&Francis
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Цена: 12554.00 р.
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Описание: This book fills a gap by covering the principles of data and information essential for every researcher. These topics are firmly planted in existing graduate curricula, and covered in the research methods courses required of most master`s level programs, yet a comprehensive and authoritative text did not exist until now.

Agile Data Warehousing Project Management,

Автор: Ralph Hughes
Название: Agile Data Warehousing Project Management,
ISBN: 0123964636 ISBN-13(EAN): 9780123964632
Издательство: Elsevier Science
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Цена: 6230.00 р.
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Описание: Offers an introduction to the method as you would practice it in the project room to build a data mart. This title helps to prepare you to join or lead a team in visualizing, building, and validating a single component to an enterprise data warehouse. It includes strategies for getting actionable requirements from a team`s business partner.

Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice

Автор: Allen Mark, Cervo Dalton
Название: Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice
ISBN: 0128008350 ISBN-13(EAN): 9780128008355
Издательство: Elsevier Science
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Цена: 6230.00 р.
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Описание: Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration.

Master Data Management and Data Governance, 2/E

Автор: Berson Alex, Dubov Larry
Название: Master Data Management and Data Governance, 2/E
ISBN: 0071744584 ISBN-13(EAN): 9780071744584
Издательство: McGraw-Hill
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Цена: 12353.00 р.
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Описание: This comprehensive revision of the premier resource on master data management (MDM) provides a common framework for the understanding and implementation of MDM initiatives.


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