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 Название: Базы данных. Проектирование, программирование, управление и администрирование
Автор: Волк В. К.
Издательство: Лань
Год: 2021
Cтраниц: 340
Формат: pdf
Размер: 46 мб
Язык: русский
Базы данных — одно из направлений IT-индустрии, в рамках которого традиционно рассматриваются технологии надежного хранения больших объемов информации, ее эффективного поиска и извлечения по запросам потребителей. Материал, представленный в учебнике, охватывает основные фазы жизненного цикла базы данных: последовательно обсуждаются основные концепции, проблематика и элементы теории баз данных, рассматриваются процессы их проектирования, программирования и управления, а также технологии администрирования баз данных с целью достижения высокой производительности доступа к данным и обеспечения требуемого уровня информационной безопасности. | |
Разместил: rivasss 2-07-2021, 11:16 | Комментарии: 0 | Подробнее
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 Название: The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem
Автор: Edward Curry, Andreas Metzger
Издательство: Springer
Год: 2021
Страниц: 411
Язык: английский
Формат: pdf (true), epub
Размер: 56.2 MB
This book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for Big Data. | |
Разместил: Ingvar16 1-07-2021, 20:22 | Комментарии: 0 | Подробнее
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 Название: Knowledge Management in the Development of Data-Intensive Systems
Автор: Ivan Mistrik, Matthias Galster, Bruce R. Maxim, Bedir Tekinerdogan
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 341
Размер: 10 Mb
Язык: English
Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. | |
Разместил: vitvikvas 1-07-2021, 11:01 | Комментарии: 0 | Подробнее
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 Название: Data Science and Big Data Analytics in Smart Environments
Автор: Marta Chinnici, Florin Pop, C. Negru
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 305
Размер: 10 Mb
Язык: English
Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment. The impact on data processing, transfer and storage is the need to re-evaluate the approaches and solutions to better answer the user needs. A variety of solutions for specific applications and platforms exist so a thorough and systematic analysis of existing solutions for data science, data analytics, methods and algorithms used in Big Data processing and storage environments is significant in designing and implementing a smart environment. | |
Разместил: vitvikvas 30-06-2021, 12:29 | Комментарии: 0 | Подробнее
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 Название: Data Science and Its Applications
Автор: Aakanksha Sharaff, G. R. Sinha
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 379
Размер: 40,5 Mb
Язык: English
The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. | |
Разместил: vitvikvas 30-06-2021, 11:36 | Комментарии: 0 | Подробнее
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 Название: Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science
Автор: Yaochu Jin, Handing Wang, Chaoli Sun
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 408
Размер: 13,5 Mb
Язык: English
Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available.
This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included. | |
Разместил: vitvikvas 29-06-2021, 05:30 | Комментарии: 0 | Подробнее
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 Название: From Big Data to Intelligent dаta: An Applied Perspective
Автор: Fady A. Harfoush
Издательство: Springer
Год: 2021
Страниц: 121
Язык: английский
Формат: pdf (true), epub
Размер: 41.0 MB
Uses simple language and methods to explain complex ideas. This book addresses many of the gaps in how industry and academia are currently tackling problems associated with Big Data. It introduces novel concepts, describes the end-to-end process, and connects the various pieces of the puzzle to offer a holistic view. In addition, it explains important concepts for a wide audience, using accessible language, diagrams, examples and analogies to do so. | |
Разместил: Ingvar16 27-06-2021, 16:10 | Комментарии: 0 | Подробнее
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 Название: Linux for Biologists: A Cookbook
Автор: Vimalkumar Velayudhan
Издательство: Leanpub
Год: June 9, 2021
Страниц: 321
Язык: английский
Формат: pdf (true), epub
Размер: 29.7 MB
If you are a student or a researcher in biological sciences and are new to Linux, this book will help you get started quickly. The primary focus is in using graphical user interfaces (GUI) to accomplish tasks, but methods using the command line interface are also discussed. | |
Разместил: Ingvar16 24-06-2021, 17:58 | Комментарии: 0 | Подробнее
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 Название: Data Science Techniques for Cryptocurrency Blockchains
Автор: Innar Liiv
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 117
Размер: 10 Mb
Язык: English
This book brings together two major trends: data science and blockchains. It is one of the first books to systematically cover the analytics aspects of blockchains, with the goal of linking traditional data mining research communities with novel data sources. Data science and big data technologies can be considered cornerstones of the data-driven digital transformation of organizations and society.
The concept of blockchain is predicted to enable and spark transformation on par with that associated with the invention of the Internet. Cryptocurrencies are the first successful use case of highly distributed blockchains, like the world wide web was to the Internet. | |
Разместил: vitvikvas 24-06-2021, 05:37 | Комментарии: 0 | Подробнее
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 Название: Efficient MySQL Performance (Early Release)
Автор: Daniel Nichter
Издательство: O’Reilly Media, Inc.
Год: 2021-06-23
Язык: английский
Формат: epub
Размер: 10.1 MB
You'll find several books on MySQL basics today, but only one that covers advanced MySQL performance--and nothing in between. That's because explaining MySQL performance without addressing its complexity is difficult. This practical book bridges the gap by teaching developers mid-level MySQL knowledge beyond the fundamentals, but well shy of deep-level internals required by DBAs. | |
Разместил: Ingvar16 23-06-2021, 19:34 | Комментарии: 0 | Подробнее
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