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Advanced Data Management: For SQL, NoSQL, Cloud and Distributed Databases, Lena Wiese


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Автор: Lena Wiese   (Лена Визе)
Название:  Advanced Data Management: For SQL, NoSQL, Cloud and Distributed Databases
Перевод названия: Лена Визе: Расширенное управление данными. Для SQL, NoSQL, облачных и разделенных баз данных.
ISBN: 9783110441406
Издательство: Walter de Gruyter
Классификация:




ISBN-10: 3110441403
Обложка/Формат: Paperback
Страницы: 374
Вес: 0.60 кг.
Дата издания: 16.10.2015
Серия: De gruyter textbook
Язык: English
Иллюстрации: 31 tables, black and white; 82 illustrations, black and white
Размер: 244 x 170 x 20
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Ownership & organization of enterprises,Operating systems,Databases, BUSINESS & ECONOMICS / Total Quality Management,COMPUTERS / Computer Science,COMPUTERS / Data Processing,COMPUTERS / Databases / General,COMPUTERS / Operating Systems / Mainframe & Midra
Основная тема: COMPUTERS / Computer Science,COMPUTERS / Databases / General,COMPUTERS / Operating Systems / Mainframe & Midrange,COMPUTERS / Data Processing
Подзаголовок: For sql, nosql, cloud and distributed databases
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions.This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.


Oracle NoSGL Database: Real-time Big Data Management for the

Автор: Alam Maqsood
Название: Oracle NoSGL Database: Real-time Big Data Management for the
ISBN: 0071816534 ISBN-13(EAN): 9780071816533
Издательство: McGraw-Hill
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Цена: 6862.00 р.
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Описание: The book is a comprehensive compilation of articles by experts in the field of suicide terrorism from across the world and across disciplines with a focus on suicide missions. It provides an insightful perspective on suicide terror as a phenomenon and as a process, and suggests psychosocial pathways for understanding the enigma that suicide terror poses.

Nosql for Dummies

Автор: Fowler Adam
Название: Nosql for Dummies
ISBN: 1118905741 ISBN-13(EAN): 9781118905746
Издательство: Wiley
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Цена: 3958.00 р.
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Описание: Get up to speed on the nuances of NoSQL databases and what they mean for your organization This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you.

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.


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