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Big Data Integration Theory, Zoran Majkic


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Автор: Zoran Majkic
Название:  Big Data Integration Theory
Перевод названия: Зоран Майкич: Теория интеграции больших данных
ISBN: 9783319355399
Издательство: Springer
Классификация:



ISBN-10: 3319355392
Обложка/Формат: Paperback
Страницы: 516
Вес: 0.74 кг.
Дата издания: 17.09.2016
Серия: Texts in Computer Science
Язык: English
Издание: Softcover reprint of
Иллюстрации: 170 illustrations, black and white; xx, 516 p. 170 illus.
Размер: 234 x 156 x 28
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Theory and Methods of Database Mappings, Programming Languages, and Semantics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration and exchange and peer-to-peer computing. Includes practical examples.


Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Автор: Martin Kleppmann
Название: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
ISBN: 1449373321 ISBN-13(EAN): 9781449373320
Издательство: Wiley
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Цена: 7602.00 р.
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Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.

Scalable Big Data Architecture

Автор: Bahaaldine Azarmi
Название: Scalable Big Data Architecture
ISBN: 1484213270 ISBN-13(EAN): 9781484213278
Издательство: Springer
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Цена: 4186.00 р.
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Описание:

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications, which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution.

When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it's often necessary to delegate the load to Hadoop or Spark and use the No-SQL to serve processed data in real time.

This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on.

Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data.

Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools to integrate into that pattern.

High-Performance Big-Data Analytics

Автор: Pethuru Raj; Anupama Raman; Dhivya Nagaraj; Siddha
Название: High-Performance Big-Data Analytics
ISBN: 3319207431 ISBN-13(EAN): 9783319207438
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data;

Data Integration in the Life Sciences

Автор: Naveen Ashish; Jose-Luis Ambite
Название: Data Integration in the Life Sciences
ISBN: 3319218425 ISBN-13(EAN): 9783319218427
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the proceedings of the 11th International Conference on Data Integration in the Life Sciences, DILS 2015, held in Los Angeles, CA, USA, in July 2015. They are organized in topical sections named: data integration technologies; ontology and knowledge engineering for data integration; biomedical data standards and coding;

Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications

Автор: Okyay Kaynak; Lotfi A. Zadeh; Burhan T?rksen; Imre
Название: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications
ISBN: 3642637965 ISBN-13(EAN): 9783642637964
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute on Soft Computing and Its Applications held at Manavgat, Antalya, Turkey, August 21-31, 1996

Learning Spark: Lightning-Fast Big Data Analytics

Автор: Hamstra Mark, Zaharia Matei
Название: Learning Spark: Lightning-Fast Big Data Analytics
ISBN: 1449358624 ISBN-13(EAN): 9781449358624
Издательство: Wiley
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Цена: 5067.00 р.
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Описание: Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.

Data Integration in the Life Sciences

Автор: Marcos Da Silveira; C?dric Pruski; Reinhard Schnei
Название: Data Integration in the Life Sciences
ISBN: 3319697501 ISBN-13(EAN): 9783319697505
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the 12th International Conference on Data Integration in the Life Sciences, DILS 2017, held in Luxembourg, in November 2017. analysing, indexing, and querying life sciences datasets; annotating, matching, and sharing life sciences datasets; privacy and provenance of life sciences datasets.

Information and Process Integration in Enterprises

Автор: Toshiro Wakayama; Srikanth Kannapan; Chan Meng Kho
Название: Information and Process Integration in Enterprises
ISBN: 1461375126 ISBN-13(EAN): 9781461375128
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Information and Process Integration in Enterprises: Rethinking Documents is a bold attempt to address information and process integration issues as a single body of research and practice.

Wafer Scale Integration

Автор: Earl E. Swartzlander Jr.
Название: Wafer Scale Integration
ISBN: 1461288967 ISBN-13(EAN): 9781461288961
Издательство: Springer
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Цена: 36197.00 р.
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Описание: Wafer Scale Integration (WSI) is the culmination of the quest for larger integrated circuits. In contrast in WSI, a wafer is fabricated with several types of circuits (generally referred to as cells), with multiple instances of each cell type, the cells are tested, and good cells are interconnected to realize a system on the wafer.

Information Search, Integration and Personalization

Автор: Dimitrios Kotzinos; Yeow Wei Choong; Nicolas Spyra
Название: Information Search, Integration and Personalization
ISBN: 3319389009 ISBN-13(EAN): 9783319389004
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed post-proceedings of the 9th International Workshop on Information Search, Integration and Personalization, ISIP 2014, held in Kuala Lumpur, Malaysia, in October 2014. The 6 revised full papers and one invited papers presented were carefully reviewed and selected from 19 presentations.

More-than-Moore 2.5D and 3D SiP Integration

Автор: Riko Radojcic
Название: More-than-Moore 2.5D and 3D SiP Integration
ISBN: 3319525476 ISBN-13(EAN): 9783319525471
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book presents a realistic and a holistic review of the microelectronic and semiconductor technology options in the post Moore`s Law regime.

Computer-Aided Design of Microfluidic Very Large Scale Integration (mVLSI) Biochips

Автор: Kai Hu; Krishnendu Chakrabarty; Tsung-Yi Ho
Название: Computer-Aided Design of Microfluidic Very Large Scale Integration (mVLSI) Biochips
ISBN: 3319562541 ISBN-13(EAN): 9783319562544
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The technical contributions presented in this book will not only shorten the product development cycle, but also accelerate the adoption and further development of modern flow-based microfluidic biochips, by facilitating the full exploitation of design complexities that are possible with current fabrication techniques.


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